diff --git a/docs/design/restricted-diagram.md b/docs/design/restricted-diagram.md
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+# Restricted Diagrams
+
+**Issues:** [#865](https://github.com/datajoint/datajoint-python/issues/865), [#1110](https://github.com/datajoint/datajoint-python/issues/1110)
+
+## Motivation
+
+### Error-driven cascade is fragile
+
+The original cascade delete worked by trial-and-error: attempt `DELETE` on the parent, catch the FK integrity error, parse the MySQL error message to discover which child table is blocking, then recursively delete from that child first.
+
+This approach has several problems:
+
+- **MySQL 8 with limited privileges:** Returns error 1217 (`ROW_IS_REFERENCED`) instead of 1451 (`ROW_IS_REFERENCED_2`), which provides no table name. The cascade crashes ([#1110](https://github.com/datajoint/datajoint-python/issues/1110)).
+- **PostgreSQL overhead:** PostgreSQL aborts the entire transaction on any error. Each failed delete attempt requires `SAVEPOINT` / `ROLLBACK TO SAVEPOINT` round-trips.
+- **Fragile parsing:** Different MySQL versions and privilege levels produce different error message formats.
+
+### Graph-driven approach
+
+`drop()` already uses graph-driven traversal — walking the dependency graph in reverse topological order, dropping leaves first. The same pattern applies to cascade delete, with the addition of **restriction propagation** through FK attribute mappings.
+
+### Data subsetting
+
+`dj.Diagram` provides set operators for specifying subsets of *tables*. Per-node restrictions complete the functionality for specifying cross-sections of *data* — enabling delete, export, backup, and sharing.
+
+## Architecture
+
+Single `class Diagram(nx.DiGraph)` with all operational methods always available. Only visualization methods (`draw`, `make_dot`, `make_svg`, `make_png`, `make_image`, `make_mermaid`, `save`, `_repr_svg_`) are gated on `diagram_active`.
+
+`Dependencies` is the canonical store of the FK graph. `Diagram` copies from it and constructs derived views.
+
+### Instance attributes
+
+```python
+self._connection             # Connection
+self._cascade_restrictions   # dict[str, list] — per-node OR restrictions (cascade mode)
+self._restrict_conditions    # dict[str, AndList] — per-node AND restrictions (restrict mode)
+self._restriction_attrs      # dict[str, set] — restriction attribute names per node
+self._part_integrity         # str — "enforce", "ignore", or "cascade" (set by cascade())
+```
+
+### Restriction modes
+
+A diagram operates in one of three states: **unrestricted** (initial), **cascade**, or **restrict**. The modes are mutually exclusive. `cascade` is applied once; `restrict` can be chained.
+
+```python
+# cascade: applied once, OR at convergence, for delete
+rd = dj.Diagram(schema).cascade(Session & 'subject_id=1')
+
+# restrict: chainable, AND at convergence, for export
+rd = dj.Diagram(schema).restrict(Session & cond).restrict(Stimulus & cond2)
+
+# Mixing raises DataJointError
+```
+
+## Restriction Propagation
+
+A restriction applied to one table node propagates downstream through FK edges in topological order. Each downstream node accumulates a restriction derived from its restricted parent(s).
+
+### Propagation rules
+
+For edge `Parent → Child` with `attr_map`:
+
+| Condition | Child restriction |
+|-----------|-------------------|
+| Non-aliased AND `parent_attrs ⊆ child.primary_key` | Copy parent restriction directly |
+| Aliased FK (`attr_map` renames columns) | `parent_ft.proj(**{fk: pk for fk, pk in attr_map.items()})` |
+| Non-aliased AND `parent_attrs ⊄ child.primary_key` | `parent_ft.proj()` |
+
+Restrictions are applied via `restrict()` → `make_condition()`, ensuring `AndList` and `QueryExpression` objects are properly converted to SQL. Direct assignment to `_restriction` is never used, as `where_clause()` would produce invalid SQL from `str(AndList)` or `str(QueryExpression)`.
+
+### Converging paths
+
+A child node may have multiple restricted ancestors. The combination rule depends on the operator:
+
+```
+Session ──→ Recording ←── Stimulus
+   ↓                         ↓
+subject=1               type="visual"
+```
+
+`Recording` receives two propagated restrictions: R1 from Session, R2 from Stimulus.
+
+**`cascade` — OR (union):** A recording is deleted if tainted by *any* restricted parent. Correct for referential integrity: if the parent row is being deleted, all child rows referencing it must go. Implemented by passing the full restriction list to `restrict()`, which creates an OrList.
+
+**`restrict` — AND (intersection):** A recording is included only if it satisfies *all* restricted ancestors. Correct for subsetting: only rows matching every condition are selected. Implemented by iterating restrictions and calling `restrict()` for each.
+
+| DataJoint type | Python type | SQL meaning |
+|----------------|-------------|-------------|
+| OR-combined restrictions | `list` | `WHERE (r1) OR (r2) OR ...` |
+| AND-combined restrictions | `AndList` | `WHERE (r1) AND (r2) AND ...` |
+| No restriction | empty `list` or `AndList()` | No WHERE clause (all rows) |
+
+### Multiple FK paths from same parent
+
+A child may reference the same parent through multiple FKs (e.g., `source_mouse` and `target_mouse` both referencing `Mouse`). These are represented as alias nodes in the dependency graph. Multiple FK paths from the same restricted parent always combine with **OR** — structural, not operation-dependent.
+
+### `part_integrity`
+
+| Mode | Behavior |
+|------|----------|
+| `"enforce"` | Data-driven post-check: raises only when rows were actually deleted from a Part without its master also being deleted. Avoids false positives when a Part appears in the cascade but has zero affected rows. |
+| `"ignore"` | Allow deleting parts without masters |
+| `"cascade"` | Propagate restriction upward from part to master, then re-propagate downstream |
+
+### Unloaded schemas
+
+If a child table lives in a schema not loaded into the dependency graph, the graph-driven delete won't know about it. The final parent `delete_quick()` fails with an FK error. Error-message parsing is retained as a **diagnostic fallback** to produce an actionable error: "activate schema X."
+
+## Methods
+
+### `cascade(self, table_expr, part_integrity="enforce") -> Diagram`
+
+Apply cascade restriction and propagate downstream. Returns a new `Diagram`. One-shot — cannot be called twice or mixed with `restrict()`.
+
+1. Verify no existing cascade or restrict restrictions
+2. Copy diagram, seed `_cascade_restrictions[root]` with `list(table_expr.restriction)`
+3. Propagate via `_propagate_restrictions(root, mode="cascade", part_integrity=part_integrity)`
+
+### `restrict(self, table_expr) -> Diagram`
+
+Apply restrict condition and propagate downstream. Returns a new `Diagram`. Chainable — can be called multiple times. Cannot be mixed with `cascade()`.
+
+1. Verify no existing cascade restrictions
+2. Copy diagram, seed/extend `_restrict_conditions[root]` with `table_expr.restriction`
+3. Propagate via `_propagate_restrictions(root, mode="restrict")`
+
+### `delete(self, transaction=True, prompt=None, dry_run=False) -> int | dict`
+
+Execute cascading delete. Requires `cascade()` first.
+
+1. If `dry_run`: return `preview()` without modifying data
+2. Get non-alias nodes with restrictions in topological order
+3. If `prompt`: show preview (table name + row count for each)
+4. Start transaction
+5. Delete in **reverse** topological order (leaves first) via `_restrict_freetable()` + `delete_quick()`
+6. On `IntegrityError`: cancel transaction, parse FK error for actionable message about unloaded schemas
+7. Post-check `part_integrity="enforce"`: if any part table had rows deleted but its master did not, cancel transaction and raise
+8. Confirm/commit, return count from the root table
+
+### `drop(self, prompt=None, part_integrity="enforce", dry_run=False)`
+
+Drop all tables in `nodes_to_show` in reverse topological order. Pre-checks `part_integrity` structurally (tables, not rows). If `dry_run`, returns row counts without dropping.
+
+### `preview(self) -> dict[str, int]`
+
+Return `{full_table_name: row_count}` for each node with a restriction. Requires `cascade()` or `restrict()` first. Uses `_restrict_freetable()` to apply restrictions with correct OR/AND semantics.
+
+### `prune(self) -> Diagram`
+
+Remove tables with zero matching rows. With restrictions, removes nodes where the restricted query yields zero rows. Without restrictions, removes physically empty tables. Idempotent and chainable.
+
+### `_restrict_freetable(ft, restrictions, mode="cascade") -> FreeTable`
+
+Static helper. Applies restrictions to a `FreeTable` using `restrict()` for proper SQL generation.
+
+- **cascade mode:** Passes the entire restriction list to `restrict()`, creating an OrList (OR semantics).
+- **restrict mode:** Iterates restrictions, calling `restrict()` for each (AND semantics).
+
+### `_from_table(cls, table_expr) -> Diagram`
+
+Classmethod factory for `Table.delete()` and `Table.drop()`. Creates a Diagram containing `table_expr` and all its descendants.
+
+## `Table` Integration
+
+```python
+def delete(self, transaction=True, prompt=None, part_integrity="enforce", dry_run=False):
+    diagram = Diagram._from_table(self)
+    diagram = diagram.cascade(self, part_integrity=part_integrity)
+    return diagram.delete(transaction=transaction, prompt=prompt, dry_run=dry_run)
+
+def drop(self, prompt=None, part_integrity="enforce", dry_run=False):
+    if self.restriction:
+        raise DataJointError("A restricted Table cannot be dropped.")
+    diagram = Diagram._from_table(self)
+    diagram.drop(prompt=prompt, part_integrity=part_integrity, dry_run=dry_run)
+```
+
+## API Examples
+
+```python
+# cascade: OR propagation for delete
+rd = dj.Diagram(schema).cascade(Session & 'subject_id=1')
+rd.preview()   # show affected tables and row counts
+rd.delete()    # downstream only, OR at convergence
+
+# restrict: AND propagation for data subsetting
+rd = (dj.Diagram(schema)
+      .restrict(Session & 'subject_id=1')
+      .restrict(Stimulus & 'type="visual"'))
+rd.preview()   # show selected tables and row counts
+
+# prune: remove tables with zero matching rows
+rd = (dj.Diagram(schema)
+      .restrict(Subject & {'species': 'mouse'})
+      .restrict(Session & 'session_date > "2024-01-01"')
+      .prune())
+rd.preview()   # only tables with matching rows
+
+# dry_run: preview without executing
+counts = (Session & 'subject_id=1').delete(dry_run=True)
+# returns {full_table_name: affected_row_count}
+
+# Table.delete() delegates to Diagram internally
+(Session & 'subject_id=1').delete()
+```
+
+## Advantages
+
+| | Error-driven | Graph-driven |
+|---|---|---|
+| MySQL 8 + limited privileges | Crashes ([#1110](https://github.com/datajoint/datajoint-python/issues/1110)) | Works — no error parsing needed |
+| PostgreSQL | Savepoint overhead per attempt | No errors triggered |
+| Multiple FKs to same child | One-at-a-time via retry loop | All paths resolved upfront |
+| part_integrity enforcement | Post-hoc check after delete | Data-driven post-check (no false positives) |
+| Unloaded schemas | Crash with opaque error | Clear error: "activate schema X" |
+| Reusability | Delete-only | Delete, drop, export, prune |
+| Inspectability | Opaque recursive cascade | `preview()` / `dry_run` before executing |
diff --git a/pixi.lock b/pixi.lock
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+  - aioodbc ; extra == 'aioodbc'
+  - greenlet>=1 ; extra == 'asyncmy'
+  - asyncmy>=0.2.3,!=0.2.4,!=0.2.6 ; extra == 'asyncmy'
+  - greenlet>=1 ; extra == 'aiosqlite'
+  - aiosqlite ; extra == 'aiosqlite'
+  - typing-extensions!=3.10.0.1 ; extra == 'aiosqlite'
+  - sqlcipher3-binary ; extra == 'sqlcipher'
+  requires_python: '>=3.7'
 - pypi: https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl
   name: stack-data
   version: 0.6.3
@@ -5480,6 +6051,50 @@ packages:
   - pygments ; extra == 'tests'
   - littleutils ; extra == 'tests'
   - cython ; extra == 'tests'
+- pypi: https://files.pythonhosted.org/packages/c8/31/5e7b23f9e43ff7fd46d243808d70c5e8daf3bc08ecf5a7fb84d5e38f7603/testcontainers-4.14.1-py3-none-any.whl
+  name: testcontainers
+  version: 4.14.1
+  sha256: 03dfef4797b31c82e7b762a454b6afec61a2a512ad54af47ab41e4fa5415f891
+  requires_dist:
+  - azure-cosmos>=4,<5 ; extra == 'cosmosdb'
+  - azure-storage-blob>=12,<13 ; extra == 'azurite'
+  - bcrypt>=5,<6 ; extra == 'registry'
+  - boto3>=1,<2 ; extra == 'aws' or extra == 'localstack'
+  - cassandra-driver>=3,<4 ; extra == 'scylla'
+  - chromadb-client>=1,<2 ; extra == 'chroma'
+  - cryptography ; extra == 'mailpit' or extra == 'sftp'
+  - docker
+  - google-cloud-datastore>=2,<3 ; extra == 'google'
+  - google-cloud-pubsub>=2,<3 ; extra == 'google'
+  - httpx ; extra == 'aws' or extra == 'generic' or extra == 'test-module-import'
+  - ibm-db-sa ; platform_machine != 'aarch64' and platform_machine != 'arm64' and extra == 'db2'
+  - influxdb>=5,<6 ; extra == 'influxdb'
+  - influxdb-client>=1,<2 ; extra == 'influxdb'
+  - kubernetes ; extra == 'k3s'
+  - minio>=7,<8 ; extra == 'minio'
+  - nats-py>=2,<3 ; extra == 'nats'
+  - neo4j>=6,<7 ; extra == 'neo4j'
+  - openfga-sdk ; extra == 'openfga'
+  - opensearch-py>=3,<4 ; python_full_version < '4' and extra == 'opensearch'
+  - oracledb>=3,<4 ; extra == 'oracle' or extra == 'oracle-free'
+  - pika>=1,<2 ; extra == 'rabbitmq'
+  - pymongo>=4,<5 ; extra == 'mongodb'
+  - pymssql>=2,<3 ; extra == 'mssql'
+  - pymysql[rsa]>=1,<2 ; extra == 'mysql'
+  - python-arango>=8,<9 ; extra == 'arangodb'
+  - python-dotenv
+  - python-keycloak>=6,<7 ; python_full_version < '4' and extra == 'keycloak'
+  - pyyaml>=6.0.3 ; extra == 'k3s'
+  - qdrant-client>=1,<2 ; extra == 'qdrant'
+  - redis>=7,<8 ; extra == 'generic' or extra == 'redis'
+  - selenium>=4,<5 ; extra == 'selenium'
+  - sqlalchemy>=2,<3 ; extra == 'db2' or extra == 'mssql' or extra == 'mysql' or extra == 'oracle' or extra == 'oracle-free'
+  - trino ; extra == 'trino'
+  - typing-extensions
+  - urllib3
+  - weaviate-client>=4,<5 ; extra == 'weaviate'
+  - wrapt
+  requires_python: '>=3.10'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd72426e_102.conda
   sha256: a84ff687119e6d8752346d1d408d5cf360dee0badd487a472aa8ddedfdc219e1
   md5: a0116df4f4ed05c303811a837d5b39d8
@@ -5678,6 +6293,30 @@ packages:
   version: 0.2.14
   sha256: a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1
   requires_python: '>=3.6'
+- pypi: https://files.pythonhosted.org/packages/03/a9/5b7d6a16fd6533fed2756900fc8fc923f678179aea62ada6d65c92718c00/wrapt-2.1.2-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
+  name: wrapt
+  version: 2.1.2
+  sha256: bbac24d879aa22998e87f6b3f481a5216311e7d53c7db87f189a7a0266dafffb
+  requires_dist:
+  - pytest ; extra == 'dev'
+  - setuptools ; extra == 'dev'
+  requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/45/bb/34c443690c847835cfe9f892be78c533d4f32366ad2888972c094a897e39/wrapt-2.1.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
+  name: wrapt
+  version: 2.1.2
+  sha256: 16997dfb9d67addc2e3f41b62a104341e80cac52f91110dece393923c0ebd5ca
+  requires_dist:
+  - pytest ; extra == 'dev'
+  - setuptools ; extra == 'dev'
+  requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/5e/88/9a9b9a90ac8ca11c2fdb6a286cb3a1fc7dd774c00ed70929a6434f6bc634/wrapt-2.1.2-cp313-cp313-macosx_11_0_arm64.whl
+  name: wrapt
+  version: 2.1.2
+  sha256: 4bdf26e03e6d0da3f0e9422fd36bcebf7bc0eeb55fdf9c727a09abc6b9fe472e
+  requires_dist:
+  - pytest ; extra == 'dev'
+  - setuptools ; extra == 'dev'
+  requires_python: '>=3.9'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.45-hb9d3cd8_0.conda
   sha256: a5d4af601f71805ec67403406e147c48d6bad7aaeae92b0622b7e2396842d3fe
   md5: 397a013c2dc5145a70737871aaa87e98
@@ -6090,6 +6729,33 @@ packages:
   purls: []
   size: 566948
   timestamp: 1726847598167
+- pypi: https://files.pythonhosted.org/packages/66/fe/b1e10b08d287f518994f1e2ff9b6d26f0adeecd8dd7d533b01bab29a3eda/yarl-1.23.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+  name: yarl
+  version: 1.23.0
+  sha256: 34b6cf500e61c90f305094911f9acc9c86da1a05a7a3f5be9f68817043f486e4
+  requires_dist:
+  - idna>=2.0
+  - multidict>=4.0
+  - propcache>=0.2.1
+  requires_python: '>=3.10'
+- pypi: https://files.pythonhosted.org/packages/ae/50/06d511cc4b8e0360d3c94af051a768e84b755c5eb031b12adaaab6dec6e5/yarl-1.23.0-cp313-cp313-macosx_11_0_arm64.whl
+  name: yarl
+  version: 1.23.0
+  sha256: 7c6b9461a2a8b47c65eef63bb1c76a4f1c119618ffa99ea79bc5bb1e46c5821b
+  requires_dist:
+  - idna>=2.0
+  - multidict>=4.0
+  - propcache>=0.2.1
+  requires_python: '>=3.10'
+- pypi: https://files.pythonhosted.org/packages/c4/f4/4e30b250927ffdab4db70da08b9b8d2194d7c7b400167b8fbeca1e4701ca/yarl-1.23.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
+  name: yarl
+  version: 1.23.0
+  sha256: 2569b67d616eab450d262ca7cb9f9e19d2f718c70a8b88712859359d0ab17035
+  requires_dist:
+  - idna>=2.0
+  - multidict>=4.0
+  - propcache>=0.2.1
+  requires_python: '>=3.10'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
   sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
   md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
diff --git a/src/datajoint/builtin_codecs/attach.py b/src/datajoint/builtin_codecs/attach.py
index aa10f2424..9100db5b0 100644
--- a/src/datajoint/builtin_codecs/attach.py
+++ b/src/datajoint/builtin_codecs/attach.py
@@ -107,6 +107,7 @@ def decode(self, stored: bytes, *, key: dict | None = None) -> str:
         config = (key or {}).get("_config")
         if config is None:
             from ..settings import config
+        assert config is not None
         download_path = Path(config.get("download_path", "."))
         download_path.mkdir(parents=True, exist_ok=True)
         local_path = download_path / filename
diff --git a/src/datajoint/builtin_codecs/filepath.py b/src/datajoint/builtin_codecs/filepath.py
index a0400499b..cb03f4783 100644
--- a/src/datajoint/builtin_codecs/filepath.py
+++ b/src/datajoint/builtin_codecs/filepath.py
@@ -103,6 +103,7 @@ def encode(self, value: Any, *, key: dict | None = None, store_name: str | None
         config = (key or {}).get("_config")
         if config is None:
             from ..settings import config
+        assert config is not None
 
         path = str(value)
 
diff --git a/src/datajoint/diagram.py b/src/datajoint/diagram.py
index 75e00c21c..230d53b39 100644
--- a/src/datajoint/diagram.py
+++ b/src/datajoint/diagram.py
@@ -1,12 +1,18 @@
 """
-Diagram visualization for DataJoint schemas.
+Diagram for DataJoint schemas.
 
-This module provides the Diagram class for visualizing schema structure
-as directed acyclic graphs showing tables and their foreign key relationships.
+This module provides the Diagram class for constructing derived views of the
+dependency graph. Diagram supports set operators (+, -, *) for selecting subsets
+of tables, restriction propagation (cascade, restrict) for selecting subsets of
+data, and operations (delete, drop, preview) for acting on those selections.
+
+Visualization methods (draw, make_dot, make_svg, etc.) require matplotlib and
+pygraphviz. All other methods are always available.
 """
 
 from __future__ import annotations
 
+import copy as copy_module
 import functools
 import inspect
 import io
@@ -14,10 +20,12 @@
 
 import networkx as nx
 
-from .dependencies import topo_sort
-from .errors import DataJointError
+from .condition import AndList
+from .dependencies import extract_master, topo_sort
+from .errors import DataJointError, IntegrityError
 from .table import Table, lookup_class_name
 from .user_tables import Computed, Imported, Lookup, Manual, Part, _AliasNode, _get_tier
+from .utils import user_choice
 
 try:
     from matplotlib import pyplot as plt
@@ -37,1002 +45,1511 @@
 logger = logging.getLogger(__name__.split(".")[0])
 
 
-if not diagram_active:  # noqa: C901
-
-    class Diagram:
+class Diagram(nx.DiGraph):  # noqa: C901
+    """
+    Schema diagram as a directed acyclic graph (DAG).
+
+    Visualizes tables and foreign key relationships derived from
+    ``connection.dependencies``.
+
+    Parameters
+    ----------
+    source : Table, Schema, or module
+        A table object, table class, schema, or module with a schema.
+    context : dict, optional
+        Namespace for resolving table class names. If None, uses caller's
+        frame globals/locals.
+
+    Examples
+    --------
+    >>> diag = dj.Diagram(schema.MyTable)
+    >>> diag.draw()
+
+    Operators:
+
+    - ``diag1 + diag2`` - union of diagrams
+    - ``diag1 - diag2`` - difference of diagrams
+    - ``diag1 * diag2`` - intersection of diagrams
+    - ``diag + n`` - expand n levels of successors (children)
+    - ``diag - n`` - expand n levels of predecessors (parents)
+
+    >>> dj.Diagram(schema.Table) + 1 - 1  # immediate ancestors and descendants
+
+    Notes
+    -----
+    ``diagram + 1 - 1`` may differ from ``diagram - 1 + 1``.
+    Only tables loaded in the connection are displayed.
+
+    Layout direction is controlled via ``dj.config.display.diagram_direction``
+    (default ``"TB"``). Use ``dj.config.override()`` to change temporarily::
+
+        with dj.config.override(display_diagram_direction="LR"):
+            dj.Diagram(schema).draw()
+    """
+
+    def __init__(self, source, context=None) -> None:
+        if isinstance(source, Diagram):
+            # copy constructor
+            self.nodes_to_show = set(source.nodes_to_show)
+            self._expanded_nodes = set(source._expanded_nodes)
+            self.context = source.context
+            self._connection = source._connection
+            self._cascade_restrictions = copy_module.deepcopy(source._cascade_restrictions)
+            self._restrict_conditions = copy_module.deepcopy(source._restrict_conditions)
+            self._restriction_attrs = copy_module.deepcopy(source._restriction_attrs)
+            self._part_integrity = getattr(source, "_part_integrity", "enforce")
+            super().__init__(source)
+            return
+
+        # get the caller's context
+        if context is None:
+            frame = inspect.currentframe().f_back
+            self.context = dict(frame.f_globals, **frame.f_locals)
+            del frame
+        else:
+            self.context = context
+
+        # find connection in the source
+        try:
+            connection = source.connection
+        except AttributeError:
+            try:
+                connection = source.schema.connection
+            except AttributeError:
+                raise DataJointError("Could not find database connection in %s" % repr(source[0]))
+
+        # initialize graph from dependencies
+        connection.dependencies.load()
+        super().__init__(connection.dependencies)
+        self._connection = connection
+        self._cascade_restrictions = {}
+        self._restrict_conditions = {}
+        self._restriction_attrs = {}
+
+        # Enumerate nodes from all the items in the list
+        self.nodes_to_show = set()
+        try:
+            self.nodes_to_show.add(source.full_table_name)
+        except AttributeError:
+            try:
+                database = source.database
+            except AttributeError:
+                try:
+                    database = source.schema.database
+                except AttributeError:
+                    raise DataJointError("Cannot plot Diagram for %s" % repr(source))
+            for node in self:
+                # Handle both MySQL backticks and PostgreSQL double quotes
+                if node.startswith("`%s`" % database) or node.startswith('"%s"' % database):
+                    self.nodes_to_show.add(node)
+        # All nodes start as expanded
+        self._expanded_nodes = set(self.nodes_to_show)
+
+    @classmethod
+    def from_sequence(cls, sequence) -> "Diagram":
         """
-        Schema diagram (disabled).
+        Create combined Diagram from a sequence of sources.
 
-        Diagram visualization requires matplotlib and pygraphviz packages.
-        Install them to enable this feature.
+        Parameters
+        ----------
+        sequence : iterable
+            Sequence of table objects, classes, or schemas.
 
-        See Also
-        --------
-        https://docs.datajoint.com/how-to/installation/
+        Returns
+        -------
+        Diagram
+            Union of diagrams: ``Diagram(arg1) + ... + Diagram(argn)``.
         """
+        return functools.reduce(lambda x, y: x + y, map(Diagram, sequence))
 
-        def __init__(self, *args, **kwargs) -> None:
-            logger.warning("Please install matplotlib and pygraphviz libraries to enable the Diagram feature.")
-
-else:
-
-    class Diagram(nx.DiGraph):
+    @classmethod
+    def _from_table(cls, table_expr) -> "Diagram":
         """
-        Schema diagram as a directed acyclic graph (DAG).
+        Create a Diagram containing table_expr and all its descendants.
 
-        Visualizes tables and foreign key relationships derived from
-        ``connection.dependencies``.
+        Internal factory for ``Table.delete()`` and ``Table.drop()``.
+        Bypasses the normal ``__init__`` which does caller-frame introspection
+        and source-type resolution.
 
         Parameters
         ----------
-        source : Table, Schema, or module
-            A table object, table class, schema, or module with a schema.
-        context : dict, optional
-            Namespace for resolving table class names. If None, uses caller's
-            frame globals/locals.
+        table_expr : Table
+            A table instance with ``connection`` and ``full_table_name``.
 
-        Examples
-        --------
-        >>> diag = dj.Diagram(schema.MyTable)
-        >>> diag.draw()
+        Returns
+        -------
+        Diagram
+        """
+        conn = table_expr.connection
+        conn.dependencies.load()
+        descendants = set(conn.dependencies.descendants(table_expr.full_table_name))
+        result = cls.__new__(cls)
+        nx.DiGraph.__init__(result, conn.dependencies)
+        result._connection = conn
+        result.context = {}
+        result.nodes_to_show = descendants
+        result._expanded_nodes = set(descendants)
+        result._cascade_restrictions = {}
+        result._restrict_conditions = {}
+        result._restriction_attrs = {}
+        return result
+
+    def add_parts(self) -> "Diagram":
+        """
+        Add part tables of all masters already in the diagram.
 
-        Operators:
+        Returns
+        -------
+        Diagram
+            New diagram with part tables included.
+        """
 
-        - ``diag1 + diag2`` - union of diagrams
-        - ``diag1 - diag2`` - difference of diagrams
-        - ``diag1 * diag2`` - intersection of diagrams
-        - ``diag + n`` - expand n levels of successors (children)
-        - ``diag - n`` - expand n levels of predecessors (parents)
+        def is_part(part, master):
+            part = [s.strip("`") for s in part.split(".")]
+            master = [s.strip("`") for s in master.split(".")]
+            return master[0] == part[0] and master[1] + "__" == part[1][: len(master[1]) + 2]
 
-        >>> dj.Diagram(schema.Table) + 1 - 1  # immediate ancestors and descendants
+        self = Diagram(self)  # copy
+        self.nodes_to_show.update(n for n in self.nodes() if any(is_part(n, m) for m in self.nodes_to_show))
+        return self
 
-        Notes
-        -----
-        ``diagram + 1 - 1`` may differ from ``diagram - 1 + 1``.
-        Only tables loaded in the connection are displayed.
+    def collapse(self) -> "Diagram":
+        """
+        Mark all nodes in this diagram as collapsed.
 
-        Layout direction is controlled via ``dj.config.display.diagram_direction``
-        (default ``"TB"``). Use ``dj.config.override()`` to change temporarily::
+        Collapsed nodes are shown as a single node per schema. When combined
+        with other diagrams using ``+``, expanded nodes win: if a node is
+        expanded in either operand, it remains expanded in the result.
 
-            with dj.config.override(display_diagram_direction="LR"):
-                dj.Diagram(schema).draw()
+        Returns
+        -------
+        Diagram
+            A copy of this diagram with all nodes collapsed.
+
+        Examples
+        --------
+        >>> # Show schema1 expanded, schema2 collapsed into single nodes
+        >>> dj.Diagram(schema1) + dj.Diagram(schema2).collapse()
+
+        >>> # Collapse all three schemas together
+        >>> (dj.Diagram(schema1) + dj.Diagram(schema2) + dj.Diagram(schema3)).collapse()
+
+        >>> # Expand one table from collapsed schema
+        >>> dj.Diagram(schema).collapse() + dj.Diagram(SingleTable)
         """
+        result = Diagram(self)
+        result._expanded_nodes = set()  # All nodes collapsed
+        return result
 
-        def __init__(self, source, context=None) -> None:
-            if isinstance(source, Diagram):
-                # copy constructor
-                self.nodes_to_show = set(source.nodes_to_show)
-                self._expanded_nodes = set(source._expanded_nodes)
-                self.context = source.context
-                self._connection = source._connection
-                super().__init__(source)
-                return
-
-            # get the caller's context
-            if context is None:
-                frame = inspect.currentframe().f_back
-                self.context = dict(frame.f_globals, **frame.f_locals)
-                del frame
-            else:
-                self.context = context
+    def __add__(self, arg) -> "Diagram":
+        """
+        Union or downstream expansion.
+
+        Parameters
+        ----------
+        arg : Diagram or int
+            Another Diagram for union, or positive int for downstream expansion.
 
-            # find connection in the source
+        Returns
+        -------
+        Diagram
+            Combined or expanded diagram.
+        """
+        result = Diagram(self)  # copy
+        try:
+            # Merge nodes and edges from the other diagram
+            result.add_nodes_from(arg.nodes(data=True))
+            result.add_edges_from(arg.edges(data=True))
+            result.nodes_to_show.update(arg.nodes_to_show)
+            # Merge contexts for class name lookups
+            result.context = {**result.context, **arg.context}
+            # Expanded wins: union of expanded nodes from both operands
+            result._expanded_nodes = self._expanded_nodes | arg._expanded_nodes
+        except AttributeError:
             try:
-                connection = source.connection
+                result.nodes_to_show.add(arg.full_table_name)
+                result._expanded_nodes.add(arg.full_table_name)
             except AttributeError:
-                try:
-                    connection = source.schema.connection
-                except AttributeError:
-                    raise DataJointError("Could not find database connection in %s" % repr(source[0]))
+                for i in range(arg):
+                    new = nx.algorithms.boundary.node_boundary(result, result.nodes_to_show)
+                    if not new:
+                        break
+                    # add nodes referenced by aliased nodes
+                    new.update(nx.algorithms.boundary.node_boundary(result, (a for a in new if a.isdigit())))
+                    result.nodes_to_show.update(new)
+                # New nodes from expansion are expanded
+                result._expanded_nodes = result._expanded_nodes | result.nodes_to_show
+        return result
+
+    def __sub__(self, arg) -> "Diagram":
+        """
+        Difference or upstream expansion.
 
-            # initialize graph from dependencies
-            self._connection = connection
-            connection.dependencies.load()
-            super().__init__(connection.dependencies)
+        Parameters
+        ----------
+        arg : Diagram or int
+            Another Diagram for difference, or positive int for upstream expansion.
 
-            # Enumerate nodes from all the items in the list
-            self.nodes_to_show = set()
+        Returns
+        -------
+        Diagram
+            Reduced or expanded diagram.
+        """
+        self = Diagram(self)  # copy
+        try:
+            self.nodes_to_show.difference_update(arg.nodes_to_show)
+        except AttributeError:
             try:
-                self.nodes_to_show.add(source.full_table_name)
+                self.nodes_to_show.remove(arg.full_table_name)
             except AttributeError:
-                try:
-                    database = source.database
-                except AttributeError:
-                    try:
-                        database = source.schema.database
-                    except AttributeError:
-                        raise DataJointError("Cannot plot Diagram for %s" % repr(source))
-                for node in self:
-                    # Handle both MySQL backticks and PostgreSQL double quotes
-                    if node.startswith("`%s`" % database) or node.startswith('"%s"' % database):
-                        self.nodes_to_show.add(node)
-            # All nodes start as expanded
-            self._expanded_nodes = set(self.nodes_to_show)
-
-        @classmethod
-        def from_sequence(cls, sequence) -> "Diagram":
-            """
-            Create combined Diagram from a sequence of sources.
-
-            Parameters
-            ----------
-            sequence : iterable
-                Sequence of table objects, classes, or schemas.
-
-            Returns
-            -------
-            Diagram
-                Union of diagrams: ``Diagram(arg1) + ... + Diagram(argn)``.
-            """
-            return functools.reduce(lambda x, y: x + y, map(Diagram, sequence))
-
-        def add_parts(self) -> "Diagram":
-            """
-            Add part tables of all masters already in the diagram.
-
-            Returns
-            -------
-            Diagram
-                New diagram with part tables included.
-            """
-
-            def is_part(part, master):
-                part = [s.strip("`") for s in part.split(".")]
-                master = [s.strip("`") for s in master.split(".")]
-                return master[0] == part[0] and master[1] + "__" == part[1][: len(master[1]) + 2]
-
-            self = Diagram(self)  # copy
-            self.nodes_to_show.update(n for n in self.nodes() if any(is_part(n, m) for m in self.nodes_to_show))
-            return self
-
-        def collapse(self) -> "Diagram":
-            """
-            Mark all nodes in this diagram as collapsed.
-
-            Collapsed nodes are shown as a single node per schema. When combined
-            with other diagrams using ``+``, expanded nodes win: if a node is
-            expanded in either operand, it remains expanded in the result.
-
-            Returns
-            -------
-            Diagram
-                A copy of this diagram with all nodes collapsed.
-
-            Examples
-            --------
-            >>> # Show schema1 expanded, schema2 collapsed into single nodes
-            >>> dj.Diagram(schema1) + dj.Diagram(schema2).collapse()
-
-            >>> # Collapse all three schemas together
-            >>> (dj.Diagram(schema1) + dj.Diagram(schema2) + dj.Diagram(schema3)).collapse()
-
-            >>> # Expand one table from collapsed schema
-            >>> dj.Diagram(schema).collapse() + dj.Diagram(SingleTable)
-            """
-            result = Diagram(self)
-            result._expanded_nodes = set()  # All nodes collapsed
-            return result
+                for i in range(arg):
+                    graph = nx.DiGraph(self).reverse()
+                    new = nx.algorithms.boundary.node_boundary(graph, self.nodes_to_show)
+                    if not new:
+                        break
+                    # add nodes referenced by aliased nodes
+                    new.update(nx.algorithms.boundary.node_boundary(graph, (a for a in new if a.isdigit())))
+                    self.nodes_to_show.update(new)
+        return self
+
+    def __mul__(self, arg) -> "Diagram":
+        """
+        Intersection of two diagrams.
 
-        def __add__(self, arg) -> "Diagram":
-            """
-            Union or downstream expansion.
-
-            Parameters
-            ----------
-            arg : Diagram or int
-                Another Diagram for union, or positive int for downstream expansion.
-
-            Returns
-            -------
-            Diagram
-                Combined or expanded diagram.
-            """
-            result = Diagram(self)  # copy
-            try:
-                # Merge nodes and edges from the other diagram
-                result.add_nodes_from(arg.nodes(data=True))
-                result.add_edges_from(arg.edges(data=True))
-                result.nodes_to_show.update(arg.nodes_to_show)
-                # Merge contexts for class name lookups
-                result.context = {**result.context, **arg.context}
-                # Expanded wins: union of expanded nodes from both operands
-                result._expanded_nodes = self._expanded_nodes | arg._expanded_nodes
-            except AttributeError:
-                try:
-                    result.nodes_to_show.add(arg.full_table_name)
-                    result._expanded_nodes.add(arg.full_table_name)
-                except AttributeError:
-                    for i in range(arg):
-                        new = nx.algorithms.boundary.node_boundary(result, result.nodes_to_show)
-                        if not new:
-                            break
-                        # add nodes referenced by aliased nodes
-                        new.update(nx.algorithms.boundary.node_boundary(result, (a for a in new if a.isdigit())))
-                        result.nodes_to_show.update(new)
-                    # New nodes from expansion are expanded
-                    result._expanded_nodes = result._expanded_nodes | result.nodes_to_show
-            return result
+        Parameters
+        ----------
+        arg : Diagram
+            Another Diagram.
 
-        def __sub__(self, arg) -> "Diagram":
-            """
-            Difference or upstream expansion.
-
-            Parameters
-            ----------
-            arg : Diagram or int
-                Another Diagram for difference, or positive int for upstream expansion.
-
-            Returns
-            -------
-            Diagram
-                Reduced or expanded diagram.
-            """
-            self = Diagram(self)  # copy
-            try:
-                self.nodes_to_show.difference_update(arg.nodes_to_show)
-            except AttributeError:
-                try:
-                    self.nodes_to_show.remove(arg.full_table_name)
-                except AttributeError:
-                    for i in range(arg):
-                        graph = nx.DiGraph(self).reverse()
-                        new = nx.algorithms.boundary.node_boundary(graph, self.nodes_to_show)
-                        if not new:
-                            break
-                        # add nodes referenced by aliased nodes
-                        new.update(nx.algorithms.boundary.node_boundary(graph, (a for a in new if a.isdigit())))
-                        self.nodes_to_show.update(new)
-            return self
-
-        def __mul__(self, arg) -> "Diagram":
-            """
-            Intersection of two diagrams.
-
-            Parameters
-            ----------
-            arg : Diagram
-                Another Diagram.
-
-            Returns
-            -------
-            Diagram
-                Diagram with nodes present in both operands.
-            """
-            self = Diagram(self)  # copy
-            self.nodes_to_show.intersection_update(arg.nodes_to_show)
-            return self
-
-        def topo_sort(self) -> list[str]:
-            """
-            Return nodes in topological order.
-
-            Returns
-            -------
-            list[str]
-                Node names in topological order.
-            """
-            return topo_sort(self)
-
-        def _make_graph(self) -> nx.DiGraph:
-            """
-            Build graph object ready for drawing.
-
-            Returns
-            -------
-            nx.DiGraph
-                Graph with nodes relabeled to class names.
-            """
-            # mark "distinguished" tables, i.e. those that introduce new primary key
-            # attributes
-            # Filter nodes_to_show to only include nodes that exist in the graph
-            valid_nodes = self.nodes_to_show.intersection(set(self.nodes()))
-            for name in valid_nodes:
-                foreign_attributes = set(
-                    attr for p in self.in_edges(name, data=True) for attr in p[2]["attr_map"] if p[2]["primary"]
-                )
-                self.nodes[name]["distinguished"] = (
-                    "primary_key" in self.nodes[name] and foreign_attributes < self.nodes[name]["primary_key"]
-                )
-            # include aliased nodes that are sandwiched between two displayed nodes
-            gaps = set(nx.algorithms.boundary.node_boundary(self, valid_nodes)).intersection(
-                nx.algorithms.boundary.node_boundary(nx.DiGraph(self).reverse(), valid_nodes)
+        Returns
+        -------
+        Diagram
+            Diagram with nodes present in both operands.
+        """
+        self = Diagram(self)  # copy
+        self.nodes_to_show.intersection_update(arg.nodes_to_show)
+        return self
+
+    def topo_sort(self) -> list[str]:
+        """
+        Return nodes in topological order.
+
+        Returns
+        -------
+        list[str]
+            Node names in topological order.
+        """
+        return topo_sort(self)
+
+    def cascade(self, table_expr, part_integrity="enforce"):
+        """
+        Apply cascade restriction and propagate downstream.
+
+        OR at convergence — a child row is affected if *any* restricted
+        ancestor taints it. Used for delete.
+
+        Can only be called once on an unrestricted Diagram. Cannot be
+        mixed with ``restrict()``.
+
+        Parameters
+        ----------
+        table_expr : QueryExpression
+            A restricted table expression
+            (e.g., ``Session & 'subject_id=1'``).
+        part_integrity : str, optional
+            ``"enforce"`` (default), ``"ignore"``, or ``"cascade"``.
+
+        Returns
+        -------
+        Diagram
+            New Diagram with cascade restrictions applied.
+        """
+        if self._cascade_restrictions or self._restrict_conditions:
+            raise DataJointError(
+                "cascade() can only be called once on an unrestricted Diagram. "
+                "cascade and restrict modes are mutually exclusive."
             )
-            nodes = valid_nodes.union(a for a in gaps if a.isdigit())
-            # construct subgraph and rename nodes to class names
-            graph = nx.DiGraph(nx.DiGraph(self).subgraph(nodes))
-            nx.set_node_attributes(graph, name="node_type", values={n: _get_tier(n) for n in graph})
-            # relabel nodes to class names
-            mapping = {node: lookup_class_name(node, self.context) or node for node in graph.nodes()}
-            new_names = list(mapping.values())
-            if len(new_names) > len(set(new_names)):
-                raise DataJointError("Some classes have identical names. The Diagram cannot be plotted.")
-            nx.relabel_nodes(graph, mapping, copy=False)
-            return graph
-
-        def _apply_collapse(self, graph: nx.DiGraph) -> tuple[nx.DiGraph, dict[str, str]]:
-            """
-            Apply collapse logic to the graph.
-
-            Nodes in nodes_to_show but not in _expanded_nodes are collapsed into
-            single schema nodes.
-
-            Parameters
-            ----------
-            graph : nx.DiGraph
-                The graph from _make_graph().
-
-            Returns
-            -------
-            tuple[nx.DiGraph, dict[str, str]]
-                Modified graph and mapping of collapsed schema labels to their table count.
-            """
-            # Filter to valid nodes (those that exist in the underlying graph)
-            valid_nodes = self.nodes_to_show.intersection(set(self.nodes()))
-            valid_expanded = self._expanded_nodes.intersection(set(self.nodes()))
-
-            # If all nodes are expanded, no collapse needed
-            if valid_expanded >= valid_nodes:
-                return graph, {}
-
-            # Map full_table_names to class_names
-            full_to_class = {node: lookup_class_name(node, self.context) or node for node in valid_nodes}
-            class_to_full = {v: k for k, v in full_to_class.items()}
-
-            # Identify expanded class names
-            expanded_class_names = {full_to_class.get(node, node) for node in valid_expanded}
-
-            # Identify nodes to collapse (class names)
-            nodes_to_collapse = set(graph.nodes()) - expanded_class_names
-
-            if not nodes_to_collapse:
-                return graph, {}
-
-            # Group collapsed nodes by schema
-            collapsed_by_schema = {}  # schema_name -> list of class_names
-            for class_name in nodes_to_collapse:
-                full_name = class_to_full.get(class_name)
-                if full_name:
-                    parts = full_name.replace('"', "`").split("`")
-                    if len(parts) >= 2:
-                        schema_name = parts[1]
-                        if schema_name not in collapsed_by_schema:
-                            collapsed_by_schema[schema_name] = []
-                        collapsed_by_schema[schema_name].append(class_name)
-
-            if not collapsed_by_schema:
-                return graph, {}
-
-            # Determine labels for collapsed schemas
-            schema_modules = {}
-            for schema_name, class_names in collapsed_by_schema.items():
-                schema_modules[schema_name] = set()
-                for class_name in class_names:
-                    cls = self._resolve_class(class_name)
-                    if cls is not None and hasattr(cls, "__module__"):
-                        module_name = cls.__module__.split(".")[-1]
-                        schema_modules[schema_name].add(module_name)
-
-            # Collect module names for ALL schemas in the diagram (not just collapsed)
-            all_schema_modules = {}  # schema_name -> module_name
-            for node in graph.nodes():
-                full_name = class_to_full.get(node)
-                if full_name:
-                    parts = full_name.replace('"', "`").split("`")
-                    if len(parts) >= 2:
-                        db_schema = parts[1]
-                        cls = self._resolve_class(node)
-                        if cls is not None and hasattr(cls, "__module__"):
-                            module_name = cls.__module__.split(".")[-1]
-                            all_schema_modules[db_schema] = module_name
-
-            # Check which module names are shared by multiple schemas
-            module_to_schemas = {}
-            for db_schema, module_name in all_schema_modules.items():
-                if module_name not in module_to_schemas:
-                    module_to_schemas[module_name] = []
-                module_to_schemas[module_name].append(db_schema)
-
-            ambiguous_modules = {m for m, schemas in module_to_schemas.items() if len(schemas) > 1}
-
-            # Determine labels for collapsed schemas
-            collapsed_labels = {}  # schema_name -> label
-            for schema_name, modules in schema_modules.items():
-                if len(modules) == 1:
-                    module_name = next(iter(modules))
-                    # Use database schema name if module is ambiguous
-                    if module_name in ambiguous_modules:
-                        label = schema_name
-                    else:
-                        label = module_name
-                else:
-                    label = schema_name
-                collapsed_labels[schema_name] = label
-
-            # Build counts using final labels
-            collapsed_counts = {}  # label -> count of tables
-            for schema_name, class_names in collapsed_by_schema.items():
-                label = collapsed_labels[schema_name]
-                collapsed_counts[label] = len(class_names)
-
-            # Create new graph with collapsed nodes
-            new_graph = nx.DiGraph()
-
-            # Map old node names to new names (collapsed nodes -> schema label)
-            node_mapping = {}
-            for node in graph.nodes():
-                full_name = class_to_full.get(node)
-                if full_name:
-                    parts = full_name.replace('"', "`").split("`")
-                    if len(parts) >= 2 and node in nodes_to_collapse:
-                        schema_name = parts[1]
-                        node_mapping[node] = collapsed_labels[schema_name]
+        result = Diagram(self)
+        result._part_integrity = part_integrity
+        node = table_expr.full_table_name
+        if node not in result.nodes():
+            raise DataJointError(f"Table {node} is not in the diagram.")
+        # Seed restriction
+        restriction = AndList(table_expr.restriction)
+        result._cascade_restrictions[node] = [restriction] if restriction else []
+        result._restriction_attrs[node] = set(table_expr.restriction_attributes)
+        # Propagate downstream
+        result._propagate_restrictions(node, mode="cascade", part_integrity=part_integrity)
+        return result
+
+    def _restricted_table(self, node):
+        """
+        Return a FreeTable for ``node`` with this diagram's restrictions applied.
+
+        Cascade restrictions are OR-combined (a row is affected if ANY
+        FK reference points to a deleted row).  Restrict conditions are
+        AND-combined (a row is included only when ALL ancestor conditions
+        are satisfied).
+        """
+        from .table import FreeTable
+
+        ft = FreeTable(self._connection, node)
+        restrictions = (self._cascade_restrictions or self._restrict_conditions).get(node, [])
+        if not restrictions:
+            return ft
+        if self._cascade_restrictions:
+            # OR semantics — passing a list to restrict() creates an OrList
+            return ft.restrict(restrictions)
+        else:
+            # AND semantics — each restriction narrows further
+            for r in restrictions:
+                ft = ft.restrict(r)
+            return ft
+
+    def restrict(self, table_expr):
+        """
+        Apply restrict condition and propagate downstream.
+
+        AND at convergence — a child row is included only if it satisfies
+        *all* restricted ancestors. Used for export. Can be chained.
+
+        Cannot be called on a cascade-restricted Diagram.
+
+        Parameters
+        ----------
+        table_expr : QueryExpression
+            A restricted table expression.
+
+        Returns
+        -------
+        Diagram
+            New Diagram with restrict conditions applied.
+        """
+        if self._cascade_restrictions:
+            raise DataJointError(
+                "Cannot apply restrict() on a cascade-restricted Diagram. "
+                "cascade and restrict modes are mutually exclusive."
+            )
+        result = Diagram(self)
+        node = table_expr.full_table_name
+        if node not in result.nodes():
+            raise DataJointError(f"Table {node} is not in the diagram.")
+        # Seed restriction (AND accumulation)
+        result._restrict_conditions.setdefault(node, AndList()).extend(table_expr.restriction)
+        result._restriction_attrs.setdefault(node, set()).update(table_expr.restriction_attributes)
+        # Propagate downstream
+        result._propagate_restrictions(node, mode="restrict")
+        return result
+
+    def _propagate_restrictions(self, start_node, mode, part_integrity="enforce"):
+        """
+        Propagate restrictions from start_node to all its descendants.
+
+        Walks the dependency graph in topological order, applying
+        propagation rules at each edge. Only processes descendants of
+        start_node to avoid duplicate propagation when chaining.
+        """
+        from .table import FreeTable
+
+        sorted_nodes = topo_sort(self)
+        # Only propagate through descendants of start_node
+        allowed_nodes = {start_node} | set(nx.descendants(self, start_node))
+        propagated_edges = set()
+        visited_masters = set()
+
+        restrictions = self._cascade_restrictions if mode == "cascade" else self._restrict_conditions
+
+        # Multiple passes to handle part_integrity="cascade" upward propagation
+        max_passes = 10
+        for _ in range(max_passes):
+            any_new = False
+
+            for node in sorted_nodes:
+                if node not in restrictions or node not in allowed_nodes:
+                    continue
+
+                # Build parent FreeTable with current restriction
+                parent_ft = self._restricted_table(node)
+
+                parent_attrs = self._restriction_attrs.get(node, set())
+
+                for _, target, edge_props in self.out_edges(node, data=True):
+                    attr_map = edge_props.get("attr_map", {})
+                    aliased = edge_props.get("aliased", False)
+
+                    if target.isdigit():
+                        # Alias node — follow through to real child
+                        for _, child_node, _ in self.out_edges(target, data=True):
+                            edge_key = (node, target, child_node)
+                            if edge_key in propagated_edges:
+                                continue
+                            propagated_edges.add(edge_key)
+                            was_new = child_node not in restrictions
+                            self._apply_propagation_rule(
+                                parent_ft,
+                                parent_attrs,
+                                child_node,
+                                attr_map,
+                                True,
+                                mode,
+                                restrictions,
+                            )
+                            if was_new and child_node in restrictions:
+                                any_new = True
                     else:
-                        node_mapping[node] = node
+                        edge_key = (node, target)
+                        if edge_key in propagated_edges:
+                            continue
+                        propagated_edges.add(edge_key)
+                        was_new = target not in restrictions
+                        self._apply_propagation_rule(
+                            parent_ft,
+                            parent_attrs,
+                            target,
+                            attr_map,
+                            aliased,
+                            mode,
+                            restrictions,
+                        )
+                        if was_new and target in restrictions:
+                            any_new = True
+
+                        # part_integrity="cascade": propagate up from part to master
+                        if part_integrity == "cascade" and mode == "cascade":
+                            master_name = extract_master(target)
+                            if (
+                                master_name
+                                and master_name in self.nodes()
+                                and master_name not in restrictions
+                                and master_name not in visited_masters
+                            ):
+                                visited_masters.add(master_name)
+                                child_ft = self._restricted_table(target)
+                                master_ft = FreeTable(self._connection, master_name)
+                                from .condition import make_condition
+
+                                master_restr = make_condition(
+                                    master_ft,
+                                    (master_ft.proj() & child_ft.proj()).to_arrays(),
+                                    master_ft.restriction_attributes,
+                                )
+                                restrictions[master_name] = [master_restr]
+                                self._restriction_attrs[master_name] = set()
+                                allowed_nodes.add(master_name)
+                                allowed_nodes.update(nx.descendants(self, master_name))
+                                any_new = True
+
+            if not any_new:
+                break
+
+    def _apply_propagation_rule(
+        self,
+        parent_ft,
+        parent_attrs,
+        child_node,
+        attr_map,
+        aliased,
+        mode,
+        restrictions,
+    ):
+        """
+        Apply one of the 3 propagation rules to a parent→child edge.
+
+        Rules (from table.py restriction propagation):
+
+        1. Non-aliased AND parent restriction attrs ⊆ child PK:
+           Copy parent restriction directly.
+        2. Aliased FK (attr_map renames columns):
+           ``parent.proj(**{fk: pk for fk, pk in attr_map.items()})``
+        3. Non-aliased AND parent restriction attrs ⊄ child PK:
+           ``parent.proj()``
+        """
+        child_pk = self.nodes[child_node].get("primary_key", set())
+
+        if not aliased and parent_attrs and parent_attrs <= child_pk:
+            # Rule 1: copy parent restriction directly
+            parent_restr = restrictions.get(
+                parent_ft.full_table_name,
+                [] if mode == "cascade" else AndList(),
+            )
+            if mode == "cascade":
+                restrictions.setdefault(child_node, []).extend(parent_restr)
+            else:
+                restrictions.setdefault(child_node, AndList()).extend(parent_restr)
+            child_attrs = set(parent_attrs)
+        elif aliased:
+            # Rule 2: aliased FK — project with renaming
+            child_item = parent_ft.proj(**{fk: pk for fk, pk in attr_map.items()})
+            if mode == "cascade":
+                restrictions.setdefault(child_node, []).append(child_item)
+            else:
+                restrictions.setdefault(child_node, AndList()).append(child_item)
+            child_attrs = set(attr_map.keys())
+        else:
+            # Rule 3: non-aliased, restriction attrs ⊄ child PK — project
+            child_item = parent_ft.proj()
+            if mode == "cascade":
+                restrictions.setdefault(child_node, []).append(child_item)
+            else:
+                restrictions.setdefault(child_node, AndList()).append(child_item)
+            child_attrs = set(attr_map.values())
+
+        self._restriction_attrs.setdefault(child_node, set()).update(child_attrs)
+
+    def delete(self, transaction=True, prompt=None, dry_run=False):
+        """
+        Execute cascading delete using cascade restrictions.
+
+        Parameters
+        ----------
+        transaction : bool, optional
+            Wrap in a transaction. Default True.
+        prompt : bool or None, optional
+            Show preview and ask confirmation. Default ``dj.config['safemode']``.
+        dry_run : bool, optional
+            If True, return affected row counts without deleting. Default False.
+
+        Returns
+        -------
+        int or dict[str, int]
+            Number of rows deleted from the root table, or (if ``dry_run``)
+            a mapping of full table name to affected row count.
+        """
+        if dry_run:
+            return self.preview()
+
+        prompt = self._connection._config["safemode"] if prompt is None else prompt
+
+        if not self._cascade_restrictions:
+            raise DataJointError("No cascade restrictions applied. Call cascade() first.")
+
+        conn = self._connection
+
+        # Get non-alias nodes with restrictions in topological order
+        all_sorted = topo_sort(self)
+        tables = [t for t in all_sorted if not t.isdigit() and t in self._cascade_restrictions]
+
+        # Preview
+        if prompt:
+            for t in tables:
+                ft = self._restricted_table(t)
+                logger.info("{table} ({count} tuples)".format(table=t, count=len(ft)))
+
+        # Start transaction
+        if transaction:
+            if not conn.in_transaction:
+                conn.start_transaction()
+            else:
+                if not prompt:
+                    transaction = False
                 else:
-                    # Alias nodes - check if they should be collapsed
-                    # An alias node should be collapsed if ALL its neighbors are collapsed
-                    neighbors = set(graph.predecessors(node)) | set(graph.successors(node))
-                    if neighbors and neighbors <= nodes_to_collapse:
-                        # Get schema from first neighbor
-                        neighbor = next(iter(neighbors))
-                        full_name = class_to_full.get(neighbor)
-                        if full_name:
-                            parts = full_name.replace('"', "`").split("`")
-                            if len(parts) >= 2:
-                                schema_name = parts[1]
-                                node_mapping[node] = collapsed_labels[schema_name]
-                                continue
-                    node_mapping[node] = node
+                    raise DataJointError(
+                        "Delete cannot use a transaction within an "
+                        "ongoing transaction. Set transaction=False "
+                        "or prompt=False."
+                    )
+
+        # Execute deletes in reverse topological order (leaves first)
+        root_count = 0
+        deleted_tables = set()
+        try:
+            for table_name in reversed(tables):
+                ft = self._restricted_table(table_name)
+                count = ft.delete_quick(get_count=True)
+                if count > 0:
+                    deleted_tables.add(table_name)
+                logger.info("Deleting {count} rows from {table}".format(count=count, table=table_name))
+                if table_name == tables[0]:
+                    root_count = count
+        except IntegrityError as error:
+            if transaction:
+                conn.cancel_transaction()
+            match = conn.adapter.parse_foreign_key_error(error.args[0])
+            if match:
+                raise DataJointError(
+                    "Delete blocked by table {child} in an unloaded "
+                    "schema. Activate all dependent schemas before "
+                    "deleting.".format(child=match["child"])
+                ) from None
+            raise DataJointError("Delete blocked by FK in unloaded/inaccessible schema.") from None
+        except:
+            if transaction:
+                conn.cancel_transaction()
+            raise
+
+        # Post-check part_integrity="enforce": roll back if a part table
+        # had rows deleted without its master also having rows deleted.
+        if getattr(self, "_part_integrity", "enforce") == "enforce" and deleted_tables:
+            for table_name in deleted_tables:
+                master = extract_master(table_name)
+                if master and master not in deleted_tables:
+                    if transaction:
+                        conn.cancel_transaction()
+                    raise DataJointError(
+                        f"Attempt to delete part table {table_name} before "
+                        f"its master {master}. Delete from the master first, "
+                        f"or use part_integrity='ignore' or 'cascade'."
+                    )
+
+        # Confirm and commit
+        if root_count == 0:
+            if prompt:
+                logger.warning("Nothing to delete.")
+            if transaction:
+                conn.cancel_transaction()
+        elif not transaction:
+            logger.info("Delete completed")
+        else:
+            if not prompt or user_choice("Commit deletes?", default="no") == "yes":
+                if transaction:
+                    conn.commit_transaction()
+                if prompt:
+                    logger.info("Delete committed.")
+            else:
+                if transaction:
+                    conn.cancel_transaction()
+                if prompt:
+                    logger.warning("Delete cancelled")
+                root_count = 0
+        return root_count
+
+    def drop(self, prompt=None, part_integrity="enforce", dry_run=False):
+        """
+        Drop all tables in the diagram in reverse topological order.
+
+        Parameters
+        ----------
+        prompt : bool or None, optional
+            Show preview and ask confirmation. Default ``dj.config['safemode']``.
+        part_integrity : str, optional
+            ``"enforce"`` (default) or ``"ignore"``.
+        dry_run : bool, optional
+            If True, return row counts without dropping. Default False.
+
+        Returns
+        -------
+        dict[str, int] or None
+            If ``dry_run``, mapping of full table name to row count.
+        """
+        from .table import FreeTable
+
+        prompt = self._connection._config["safemode"] if prompt is None else prompt
+        conn = self._connection
 
-            # Build reverse mapping: label -> schema_name
-            label_to_schema = {label: schema for schema, label in collapsed_labels.items()}
-
-            # Add nodes
-            added_collapsed = set()
-            for old_node, new_node in node_mapping.items():
-                if new_node in collapsed_counts:
-                    # This is a collapsed schema node
-                    if new_node not in added_collapsed:
-                        schema_name = label_to_schema.get(new_node, new_node)
-                        new_graph.add_node(
-                            new_node,
-                            node_type=None,
-                            collapsed=True,
-                            table_count=collapsed_counts[new_node],
-                            schema_name=schema_name,
+        tables = [t for t in topo_sort(self) if not t.isdigit() and t in self.nodes_to_show]
+
+        if part_integrity == "enforce":
+            for part in tables:
+                master = extract_master(part)
+                if master and master not in tables:
+                    raise DataJointError(
+                        "Attempt to drop part table {part} before its " "master {master}. Drop the master first.".format(
+                            part=part, master=master
                         )
-                        added_collapsed.add(new_node)
-                else:
-                    new_graph.add_node(new_node, **graph.nodes[old_node])
-
-            # Add edges (avoiding self-loops and duplicates)
-            for src, dest, data in graph.edges(data=True):
-                new_src = node_mapping[src]
-                new_dest = node_mapping[dest]
-                if new_src != new_dest and not new_graph.has_edge(new_src, new_dest):
-                    new_graph.add_edge(new_src, new_dest, **data)
-
-            return new_graph, collapsed_counts
-
-        def _resolve_class(self, name: str):
-            """
-            Safely resolve a table class from a dotted name without eval().
-
-            Parameters
-            ----------
-            name : str
-                Dotted class name like "MyTable" or "Module.MyTable".
-
-            Returns
-            -------
-            type or None
-                The table class if found, otherwise None.
-            """
-            parts = name.split(".")
-            obj = self.context.get(parts[0])
-            for part in parts[1:]:
-                if obj is None:
-                    return None
-                obj = getattr(obj, part, None)
-            if obj is not None and isinstance(obj, type) and issubclass(obj, Table):
-                return obj
-            return None
-
-        @staticmethod
-        def _encapsulate_edge_attributes(graph: nx.DiGraph) -> None:
-            """
-            Encapsulate edge attr_map in double quotes for pydot compatibility.
-
-            Modifies graph in place.
-
-            See Also
-            --------
-            https://github.com/pydot/pydot/issues/258#issuecomment-795798099
-            """
-            for u, v, *_, edgedata in graph.edges(data=True):
-                if "attr_map" in edgedata:
-                    graph.edges[u, v]["attr_map"] = '"{0}"'.format(edgedata["attr_map"])
-
-        @staticmethod
-        def _encapsulate_node_names(graph: nx.DiGraph) -> None:
-            """
-            Encapsulate node names in double quotes for pydot compatibility.
-
-            Modifies graph in place.
-
-            See Also
-            --------
-            https://github.com/datajoint/datajoint-python/pull/1176
-            """
-            nx.relabel_nodes(
-                graph,
-                {node: '"{0}"'.format(node) for node in graph.nodes()},
-                copy=False,
+                    )
+
+        if dry_run:
+            result = {}
+            for t in tables:
+                count = len(FreeTable(conn, t))
+                result[t] = count
+                logger.info("{table} ({count} tuples)".format(table=t, count=count))
+            return result
+
+        do_drop = True
+        if prompt:
+            for t in tables:
+                logger.info("{table} ({count} tuples)".format(table=t, count=len(FreeTable(conn, t))))
+            do_drop = user_choice("Proceed?", default="no") == "yes"
+        if do_drop:
+            for t in reversed(tables):
+                FreeTable(conn, t).drop_quick()
+            logger.info("Tables dropped. Restart kernel.")
+
+    def preview(self):
+        """
+        Show affected tables and row counts without modifying data.
+
+        Returns
+        -------
+        dict[str, int]
+            Mapping of full table name to affected row count.
+        """
+        restrictions = self._cascade_restrictions or self._restrict_conditions
+        if not restrictions:
+            raise DataJointError("No restrictions applied. " "Call cascade() or restrict() first.")
+
+        result = {}
+        for node in topo_sort(self):
+            if node.isdigit() or node not in restrictions:
+                continue
+            result[node] = len(self._restricted_table(node))
+
+        for t, count in result.items():
+            logger.info("{table} ({count} tuples)".format(table=t, count=count))
+        return result
+
+    def prune(self):
+        """
+        Remove tables with zero matching rows from the diagram.
+
+        Without prior restrictions, removes physically empty tables.
+        With restrictions (``cascade()`` or ``restrict()``), removes
+        tables where the restricted query yields zero rows.
+
+        Returns
+        -------
+        Diagram
+            New Diagram with empty tables removed.
+        """
+        from .table import FreeTable
+
+        result = Diagram(self)
+        restrictions = result._cascade_restrictions or result._restrict_conditions
+
+        if restrictions:
+            # Restricted: check row counts under restriction
+            for node in list(restrictions):
+                if node.isdigit():
+                    continue
+                if len(result._restricted_table(node)) == 0:
+                    restrictions.pop(node)
+                    result._restriction_attrs.pop(node, None)
+                    result.nodes_to_show.discard(node)
+        else:
+            # Unrestricted: check physical row counts
+            for node in list(result.nodes_to_show):
+                if node.isdigit():
+                    continue
+                ft = FreeTable(self._connection, node)
+                if len(ft) == 0:
+                    result.nodes_to_show.discard(node)
+
+        return result
+
+    def _make_graph(self) -> nx.DiGraph:
+        """
+        Build graph object ready for drawing.
+
+        Returns
+        -------
+        nx.DiGraph
+            Graph with nodes relabeled to class names.
+        """
+        # mark "distinguished" tables, i.e. those that introduce new primary key
+        # attributes
+        # Filter nodes_to_show to only include nodes that exist in the graph
+        valid_nodes = self.nodes_to_show.intersection(set(self.nodes()))
+        for name in valid_nodes:
+            foreign_attributes = set(
+                attr for p in self.in_edges(name, data=True) for attr in p[2]["attr_map"] if p[2]["primary"]
             )
+            self.nodes[name]["distinguished"] = (
+                "primary_key" in self.nodes[name] and foreign_attributes < self.nodes[name]["primary_key"]
+            )
+        # include aliased nodes that are sandwiched between two displayed nodes
+        gaps = set(nx.algorithms.boundary.node_boundary(self, valid_nodes)).intersection(
+            nx.algorithms.boundary.node_boundary(nx.DiGraph(self).reverse(), valid_nodes)
+        )
+        nodes = valid_nodes.union(a for a in gaps if a.isdigit())
+        # construct subgraph and rename nodes to class names
+        graph = nx.DiGraph(nx.DiGraph(self).subgraph(nodes))
+        nx.set_node_attributes(graph, name="node_type", values={n: _get_tier(n) for n in graph})
+        # relabel nodes to class names
+        mapping = {node: lookup_class_name(node, self.context) or node for node in graph.nodes()}
+        new_names = list(mapping.values())
+        if len(new_names) > len(set(new_names)):
+            raise DataJointError("Some classes have identical names. The Diagram cannot be plotted.")
+        nx.relabel_nodes(graph, mapping, copy=False)
+        return graph
+
+    def _apply_collapse(self, graph: nx.DiGraph) -> tuple[nx.DiGraph, dict[str, str]]:
+        """
+        Apply collapse logic to the graph.
+
+        Nodes in nodes_to_show but not in _expanded_nodes are collapsed into
+        single schema nodes.
+
+        Parameters
+        ----------
+        graph : nx.DiGraph
+            The graph from _make_graph().
+
+        Returns
+        -------
+        tuple[nx.DiGraph, dict[str, str]]
+            Modified graph and mapping of collapsed schema labels to their table count.
+        """
+        # Filter to valid nodes (those that exist in the underlying graph)
+        valid_nodes = self.nodes_to_show.intersection(set(self.nodes()))
+        valid_expanded = self._expanded_nodes.intersection(set(self.nodes()))
 
-        def make_dot(self):
-            """
-            Generate a pydot graph object.
-
-            Returns
-            -------
-            pydot.Dot
-                The graph object ready for rendering.
-
-            Notes
-            -----
-            Layout direction is controlled via ``dj.config.display.diagram_direction``.
-            Tables are grouped by schema, with the Python module name shown as the
-            group label when available.
-            """
-            direction = self._connection._config.display.diagram_direction
-            graph = self._make_graph()
-
-            # Apply collapse logic if needed
-            graph, collapsed_counts = self._apply_collapse(graph)
-
-            # Build schema mapping: class_name -> schema_name
-            # Group by database schema, label with Python module name if 1:1 mapping
-            schema_map = {}  # class_name -> schema_name
-            schema_modules = {}  # schema_name -> set of module names
-
-            for full_name in self.nodes_to_show:
-                # Extract schema from full table name like `schema`.`table` or "schema"."table"
+        # If all nodes are expanded, no collapse needed
+        if valid_expanded >= valid_nodes:
+            return graph, {}
+
+        # Map full_table_names to class_names
+        full_to_class = {node: lookup_class_name(node, self.context) or node for node in valid_nodes}
+        class_to_full = {v: k for k, v in full_to_class.items()}
+
+        # Identify expanded class names
+        expanded_class_names = {full_to_class.get(node, node) for node in valid_expanded}
+
+        # Identify nodes to collapse (class names)
+        nodes_to_collapse = set(graph.nodes()) - expanded_class_names
+
+        if not nodes_to_collapse:
+            return graph, {}
+
+        # Group collapsed nodes by schema
+        collapsed_by_schema = {}  # schema_name -> list of class_names
+        for class_name in nodes_to_collapse:
+            full_name = class_to_full.get(class_name)
+            if full_name:
+                parts = full_name.replace('"', "`").split("`")
+                if len(parts) >= 2:
+                    schema_name = parts[1]
+                    if schema_name not in collapsed_by_schema:
+                        collapsed_by_schema[schema_name] = []
+                    collapsed_by_schema[schema_name].append(class_name)
+
+        if not collapsed_by_schema:
+            return graph, {}
+
+        # Determine labels for collapsed schemas
+        schema_modules = {}
+        for schema_name, class_names in collapsed_by_schema.items():
+            schema_modules[schema_name] = set()
+            for class_name in class_names:
+                cls = self._resolve_class(class_name)
+                if cls is not None and hasattr(cls, "__module__"):
+                    module_name = cls.__module__.split(".")[-1]
+                    schema_modules[schema_name].add(module_name)
+
+        # Collect module names for ALL schemas in the diagram (not just collapsed)
+        all_schema_modules = {}  # schema_name -> module_name
+        for node in graph.nodes():
+            full_name = class_to_full.get(node)
+            if full_name:
                 parts = full_name.replace('"', "`").split("`")
                 if len(parts) >= 2:
-                    schema_name = parts[1]  # schema is between first pair of backticks
-                    class_name = lookup_class_name(full_name, self.context) or full_name
-                    schema_map[class_name] = schema_name
-
-                    # Collect all module names for this schema
-                    if schema_name not in schema_modules:
-                        schema_modules[schema_name] = set()
-                    cls = self._resolve_class(class_name)
+                    db_schema = parts[1]
+                    cls = self._resolve_class(node)
                     if cls is not None and hasattr(cls, "__module__"):
                         module_name = cls.__module__.split(".")[-1]
-                        schema_modules[schema_name].add(module_name)
-
-            # Determine cluster labels: use module name if 1:1, else database schema name
-            cluster_labels = {}  # schema_name -> label
-            for schema_name, modules in schema_modules.items():
-                if len(modules) == 1:
-                    cluster_labels[schema_name] = next(iter(modules))
-                else:
-                    cluster_labels[schema_name] = schema_name
-
-            # Disambiguate labels if multiple schemas share the same module name
-            # (e.g., all defined in __main__ in a notebook)
-            label_counts = {}
-            for label in cluster_labels.values():
-                label_counts[label] = label_counts.get(label, 0) + 1
-
-            for schema_name, label in cluster_labels.items():
-                if label_counts[label] > 1:
-                    # Multiple schemas share this module name - add schema name
-                    cluster_labels[schema_name] = f"{label} ({schema_name})"
-
-            # Assign alias nodes (orange dots) to the same schema as their child table
-            for node, data in graph.nodes(data=True):
-                if data.get("node_type") is _AliasNode:
-                    # Find the child (successor) - the table that declares the renamed FK
-                    successors = list(graph.successors(node))
-                    if successors and successors[0] in schema_map:
-                        schema_map[node] = schema_map[successors[0]]
-
-            # Assign collapsed nodes to their schema so they appear in the cluster
-            for node, data in graph.nodes(data=True):
-                if data.get("collapsed") and data.get("schema_name"):
-                    schema_map[node] = data["schema_name"]
-
-            scale = 1.2  # scaling factor for fonts and boxes
-            label_props = {  # http://matplotlib.org/examples/color/named_colors.html
-                None: dict(
-                    shape="circle",
-                    color="#FFFF0040",
-                    fontcolor="yellow",
-                    fontsize=round(scale * 8),
-                    size=0.4 * scale,
-                    fixed=False,
-                ),
-                _AliasNode: dict(
-                    shape="circle",
-                    color="#FF880080",
-                    fontcolor="#FF880080",
-                    fontsize=round(scale * 0),
-                    size=0.05 * scale,
-                    fixed=True,
-                ),
-                Manual: dict(
-                    shape="box",
-                    color="#00FF0030",
-                    fontcolor="darkgreen",
-                    fontsize=round(scale * 10),
-                    size=0.4 * scale,
-                    fixed=False,
-                ),
-                Lookup: dict(
-                    shape="plaintext",
-                    color="#00000020",
-                    fontcolor="black",
-                    fontsize=round(scale * 8),
-                    size=0.4 * scale,
-                    fixed=False,
-                ),
-                Computed: dict(
-                    shape="ellipse",
-                    color="#FF000020",
-                    fontcolor="#7F0000A0",
-                    fontsize=round(scale * 10),
-                    size=0.4 * scale,
-                    fixed=False,
-                ),
-                Imported: dict(
-                    shape="ellipse",
-                    color="#00007F40",
-                    fontcolor="#00007FA0",
-                    fontsize=round(scale * 10),
-                    size=0.4 * scale,
-                    fixed=False,
-                ),
-                Part: dict(
-                    shape="plaintext",
-                    color="#00000000",
-                    fontcolor="black",
-                    fontsize=round(scale * 8),
-                    size=0.1 * scale,
-                    fixed=False,
-                ),
-                "collapsed": dict(
-                    shape="box3d",
-                    color="#80808060",
-                    fontcolor="#404040",
-                    fontsize=round(scale * 10),
-                    size=0.5 * scale,
-                    fixed=False,
-                ),
-            }
-            # Build node_props, handling collapsed nodes specially
-            node_props = {}
-            for node, d in graph.nodes(data=True):
-                if d.get("collapsed"):
-                    node_props[node] = label_props["collapsed"]
+                        all_schema_modules[db_schema] = module_name
+
+        # Check which module names are shared by multiple schemas
+        module_to_schemas = {}
+        for db_schema, module_name in all_schema_modules.items():
+            if module_name not in module_to_schemas:
+                module_to_schemas[module_name] = []
+            module_to_schemas[module_name].append(db_schema)
+
+        ambiguous_modules = {m for m, schemas in module_to_schemas.items() if len(schemas) > 1}
+
+        # Determine labels for collapsed schemas
+        collapsed_labels = {}  # schema_name -> label
+        for schema_name, modules in schema_modules.items():
+            if len(modules) == 1:
+                module_name = next(iter(modules))
+                # Use database schema name if module is ambiguous
+                if module_name in ambiguous_modules:
+                    label = schema_name
                 else:
-                    node_props[node] = label_props[d["node_type"]]
-
-            self._encapsulate_node_names(graph)
-            self._encapsulate_edge_attributes(graph)
-            dot = nx.drawing.nx_pydot.to_pydot(graph)
-            dot.set_rankdir(direction)
-            for node in dot.get_nodes():
-                node.set_shape("circle")
-                name = node.get_name().strip('"')
-                props = node_props[name]
-                node.set_fontsize(props["fontsize"])
-                node.set_fontcolor(props["fontcolor"])
-                node.set_shape(props["shape"])
-                node.set_fontname("arial")
-                node.set_fixedsize("shape" if props["fixed"] else False)
-                node.set_width(props["size"])
-                node.set_height(props["size"])
-
-                # Handle collapsed nodes specially
-                node_data = graph.nodes.get(f'"{name}"', {})
-                if node_data.get("collapsed"):
-                    table_count = node_data.get("table_count", 0)
-                    label = f"({table_count} tables)" if table_count != 1 else "(1 table)"
-                    node.set_label(label)
-                    node.set_tooltip(f"Collapsed schema: {table_count} tables")
+                    label = module_name
+            else:
+                label = schema_name
+            collapsed_labels[schema_name] = label
+
+        # Build counts using final labels
+        collapsed_counts = {}  # label -> count of tables
+        for schema_name, class_names in collapsed_by_schema.items():
+            label = collapsed_labels[schema_name]
+            collapsed_counts[label] = len(class_names)
+
+        # Create new graph with collapsed nodes
+        new_graph = nx.DiGraph()
+
+        # Map old node names to new names (collapsed nodes -> schema label)
+        node_mapping = {}
+        for node in graph.nodes():
+            full_name = class_to_full.get(node)
+            if full_name:
+                parts = full_name.replace('"', "`").split("`")
+                if len(parts) >= 2 and node in nodes_to_collapse:
+                    schema_name = parts[1]
+                    node_mapping[node] = collapsed_labels[schema_name]
                 else:
-                    cls = self._resolve_class(name)
-                    if cls is not None:
-                        description = cls().describe(context=self.context).split("\n")
-                        description = (
-                            (
-                                "-" * 30
-                                if q.startswith("---")
-                                else (q.replace("->", "&#8594;") if "->" in q else q.split(":")[0])
-                            )
-                            for q in description
-                            if not q.startswith("#")
-                        )
-                        node.set_tooltip("&#13;".join(description))
-                    # Strip module prefix from label if it matches the cluster label
-                    display_name = name
-                    schema_name = schema_map.get(name)
-                    if schema_name and "." in name:
-                        cluster_label = cluster_labels.get(schema_name)
-                        if cluster_label and name.startswith(cluster_label + "."):
-                            display_name = name[len(cluster_label) + 1 :]
-                    node.set_label("<<u>" + display_name + "</u>>" if node.get("distinguished") == "True" else display_name)
-                node.set_color(props["color"])
-                node.set_style("filled")
-
-            for edge in dot.get_edges():
-                # see https://graphviz.org/doc/info/attrs.html
-                src = edge.get_source()
-                dest = edge.get_destination()
-                props = graph.get_edge_data(src, dest)
-                if props is None:
-                    raise DataJointError("Could not find edge with source '{}' and destination '{}'".format(src, dest))
-                edge.set_color("#00000040")
-                edge.set_style("solid" if props.get("primary") else "dashed")
-                dest_node_type = graph.nodes[dest].get("node_type")
-                master_part = dest_node_type is Part and dest.startswith(src + ".")
-                edge.set_weight(3 if master_part else 1)
-                edge.set_arrowhead("none")
-                edge.set_penwidth(0.75 if props.get("multi") else 2)
-
-            # Group nodes into schema clusters (always on)
-            if schema_map:
-                import pydot
-
-                # Group nodes by schema
-                schemas = {}
-                for node in list(dot.get_nodes()):
-                    name = node.get_name().strip('"')
-                    schema_name = schema_map.get(name)
-                    if schema_name:
-                        if schema_name not in schemas:
-                            schemas[schema_name] = []
-                        schemas[schema_name].append(node)
-
-                # Create clusters for each schema
-                # Use Python module name if 1:1 mapping, otherwise database schema name
-                for schema_name, nodes in schemas.items():
-                    label = cluster_labels.get(schema_name, schema_name)
-                    cluster = pydot.Cluster(
-                        f"cluster_{schema_name}",
-                        label=label,
-                        style="dashed",
-                        color="gray",
-                        fontcolor="gray",
+                    node_mapping[node] = node
+            else:
+                # Alias nodes - check if they should be collapsed
+                # An alias node should be collapsed if ALL its neighbors are collapsed
+                neighbors = set(graph.predecessors(node)) | set(graph.successors(node))
+                if neighbors and neighbors <= nodes_to_collapse:
+                    # Get schema from first neighbor
+                    neighbor = next(iter(neighbors))
+                    full_name = class_to_full.get(neighbor)
+                    if full_name:
+                        parts = full_name.replace('"', "`").split("`")
+                        if len(parts) >= 2:
+                            schema_name = parts[1]
+                            node_mapping[node] = collapsed_labels[schema_name]
+                            continue
+                node_mapping[node] = node
+
+        # Build reverse mapping: label -> schema_name
+        label_to_schema = {label: schema for schema, label in collapsed_labels.items()}
+
+        # Add nodes
+        added_collapsed = set()
+        for old_node, new_node in node_mapping.items():
+            if new_node in collapsed_counts:
+                # This is a collapsed schema node
+                if new_node not in added_collapsed:
+                    schema_name = label_to_schema.get(new_node, new_node)
+                    new_graph.add_node(
+                        new_node,
+                        node_type=None,
+                        collapsed=True,
+                        table_count=collapsed_counts[new_node],
+                        schema_name=schema_name,
                     )
-                    for node in nodes:
-                        cluster.add_node(node)
-                    dot.add_subgraph(cluster)
+                    added_collapsed.add(new_node)
+            else:
+                new_graph.add_node(new_node, **graph.nodes[old_node])
+
+        # Add edges (avoiding self-loops and duplicates)
+        for src, dest, data in graph.edges(data=True):
+            new_src = node_mapping[src]
+            new_dest = node_mapping[dest]
+            if new_src != new_dest and not new_graph.has_edge(new_src, new_dest):
+                new_graph.add_edge(new_src, new_dest, **data)
+
+        return new_graph, collapsed_counts
+
+    def _resolve_class(self, name: str):
+        """
+        Safely resolve a table class from a dotted name without eval().
 
-            return dot
+        Parameters
+        ----------
+        name : str
+            Dotted class name like "MyTable" or "Module.MyTable".
 
-        def make_svg(self):
-            from IPython.display import SVG
+        Returns
+        -------
+        type or None
+            The table class if found, otherwise None.
+        """
+        parts = name.split(".")
+        obj = self.context.get(parts[0])
+        for part in parts[1:]:
+            if obj is None:
+                return None
+            obj = getattr(obj, part, None)
+        if obj is not None and isinstance(obj, type) and issubclass(obj, Table):
+            return obj
+        return None
+
+    @staticmethod
+    def _encapsulate_edge_attributes(graph: nx.DiGraph) -> None:
+        """
+        Encapsulate edge attr_map in double quotes for pydot compatibility.
 
-            return SVG(self.make_dot().create_svg())
+        Modifies graph in place.
 
-        def make_png(self):
-            return io.BytesIO(self.make_dot().create_png())
+        See Also
+        --------
+        https://github.com/pydot/pydot/issues/258#issuecomment-795798099
+        """
+        for u, v, *_, edgedata in graph.edges(data=True):
+            if "attr_map" in edgedata:
+                graph.edges[u, v]["attr_map"] = '"{0}"'.format(edgedata["attr_map"])
 
-        def make_image(self):
-            if plot_active:
-                return plt.imread(self.make_png())
-            else:
-                raise DataJointError("pyplot was not imported")
-
-        def make_mermaid(self) -> str:
-            """
-            Generate Mermaid diagram syntax.
-
-            Produces a flowchart in Mermaid syntax that can be rendered in
-            Markdown documentation, GitHub, or https://mermaid.live.
-
-            Returns
-            -------
-            str
-                Mermaid flowchart syntax.
-
-            Notes
-            -----
-            Layout direction is controlled via ``dj.config.display.diagram_direction``.
-            Tables are grouped by schema using Mermaid subgraphs, with the Python
-            module name shown as the group label when available.
-
-            Examples
-            --------
-            >>> print(dj.Diagram(schema).make_mermaid())
-            flowchart TB
-                subgraph my_pipeline
-                    Mouse[Mouse]:::manual
-                    Session[Session]:::manual
-                    Neuron([Neuron]):::computed
-                end
-                Mouse --> Session
-                Session --> Neuron
-            """
-            graph = self._make_graph()
-            direction = self._connection._config.display.diagram_direction
-
-            # Apply collapse logic if needed
-            graph, collapsed_counts = self._apply_collapse(graph)
-
-            # Build schema mapping for grouping
-            schema_map = {}  # class_name -> schema_name
-            schema_modules = {}  # schema_name -> set of module names
-
-            for full_name in self.nodes_to_show:
-                parts = full_name.replace('"', "`").split("`")
-                if len(parts) >= 2:
-                    schema_name = parts[1]
-                    class_name = lookup_class_name(full_name, self.context) or full_name
-                    schema_map[class_name] = schema_name
+    @staticmethod
+    def _encapsulate_node_names(graph: nx.DiGraph) -> None:
+        """
+        Encapsulate node names in double quotes for pydot compatibility.
 
-                    # Collect all module names for this schema
-                    if schema_name not in schema_modules:
-                        schema_modules[schema_name] = set()
-                    cls = self._resolve_class(class_name)
-                    if cls is not None and hasattr(cls, "__module__"):
-                        module_name = cls.__module__.split(".")[-1]
-                        schema_modules[schema_name].add(module_name)
+        Modifies graph in place.
 
-            # Determine cluster labels: use module name if 1:1, else database schema name
-            cluster_labels = {}
-            for schema_name, modules in schema_modules.items():
-                if len(modules) == 1:
-                    cluster_labels[schema_name] = next(iter(modules))
-                else:
-                    cluster_labels[schema_name] = schema_name
-
-            # Assign alias nodes to the same schema as their child table
-            for node, data in graph.nodes(data=True):
-                if data.get("node_type") is _AliasNode:
-                    successors = list(graph.successors(node))
-                    if successors and successors[0] in schema_map:
-                        schema_map[node] = schema_map[successors[0]]
-
-            lines = [f"flowchart {direction}"]
-
-            # Define class styles matching Graphviz colors
-            lines.append("    classDef manual fill:#90EE90,stroke:#006400")
-            lines.append("    classDef lookup fill:#D3D3D3,stroke:#696969")
-            lines.append("    classDef computed fill:#FFB6C1,stroke:#8B0000")
-            lines.append("    classDef imported fill:#ADD8E6,stroke:#00008B")
-            lines.append("    classDef part fill:#FFFFFF,stroke:#000000")
-            lines.append("    classDef collapsed fill:#808080,stroke:#404040")
-            lines.append("")
-
-            # Shape mapping: Manual=box, Computed/Imported=stadium, Lookup/Part=box
-            shape_map = {
-                Manual: ("[", "]"),  # box
-                Lookup: ("[", "]"),  # box
-                Computed: ("([", "])"),  # stadium/pill
-                Imported: ("([", "])"),  # stadium/pill
-                Part: ("[", "]"),  # box
-                _AliasNode: ("((", "))"),  # circle
-                None: ("((", "))"),  # circle
-            }
-
-            tier_class = {
-                Manual: "manual",
-                Lookup: "lookup",
-                Computed: "computed",
-                Imported: "imported",
-                Part: "part",
-                _AliasNode: "",
-                None: "",
-            }
-
-            # Group nodes by schema into subgraphs (including collapsed nodes)
+        See Also
+        --------
+        https://github.com/datajoint/datajoint-python/pull/1176
+        """
+        nx.relabel_nodes(
+            graph,
+            {node: '"{0}"'.format(node) for node in graph.nodes()},
+            copy=False,
+        )
+
+    def make_dot(self):
+        """
+        Generate a pydot graph object.
+
+        Returns
+        -------
+        pydot.Dot
+            The graph object ready for rendering.
+
+        Raises
+        ------
+        DataJointError
+            If pygraphviz/pydot is not installed.
+
+        Notes
+        -----
+        Layout direction is controlled via ``dj.config.display.diagram_direction``.
+        Tables are grouped by schema, with the Python module name shown as the
+        group label when available.
+        """
+        if not diagram_active:
+            raise DataJointError("Install pygraphviz and pydot libraries to enable diagram visualization.")
+        direction = self._connection._config.display.diagram_direction
+        graph = self._make_graph()
+
+        # Apply collapse logic if needed
+        graph, collapsed_counts = self._apply_collapse(graph)
+
+        # Build schema mapping: class_name -> schema_name
+        # Group by database schema, label with Python module name if 1:1 mapping
+        schema_map = {}  # class_name -> schema_name
+        schema_modules = {}  # schema_name -> set of module names
+
+        for full_name in self.nodes_to_show:
+            # Extract schema from full table name like `schema`.`table` or "schema"."table"
+            parts = full_name.replace('"', "`").split("`")
+            if len(parts) >= 2:
+                schema_name = parts[1]  # schema is between first pair of backticks
+                class_name = lookup_class_name(full_name, self.context) or full_name
+                schema_map[class_name] = schema_name
+
+                # Collect all module names for this schema
+                if schema_name not in schema_modules:
+                    schema_modules[schema_name] = set()
+                cls = self._resolve_class(class_name)
+                if cls is not None and hasattr(cls, "__module__"):
+                    module_name = cls.__module__.split(".")[-1]
+                    schema_modules[schema_name].add(module_name)
+
+        # Determine cluster labels: use module name if 1:1, else database schema name
+        cluster_labels = {}  # schema_name -> label
+        for schema_name, modules in schema_modules.items():
+            if len(modules) == 1:
+                cluster_labels[schema_name] = next(iter(modules))
+            else:
+                cluster_labels[schema_name] = schema_name
+
+        # Disambiguate labels if multiple schemas share the same module name
+        # (e.g., all defined in __main__ in a notebook)
+        label_counts = {}
+        for label in cluster_labels.values():
+            label_counts[label] = label_counts.get(label, 0) + 1
+
+        for schema_name, label in cluster_labels.items():
+            if label_counts[label] > 1:
+                # Multiple schemas share this module name - add schema name
+                cluster_labels[schema_name] = f"{label} ({schema_name})"
+
+        # Assign alias nodes (orange dots) to the same schema as their child table
+        for node, data in graph.nodes(data=True):
+            if data.get("node_type") is _AliasNode:
+                # Find the child (successor) - the table that declares the renamed FK
+                successors = list(graph.successors(node))
+                if successors and successors[0] in schema_map:
+                    schema_map[node] = schema_map[successors[0]]
+
+        # Assign collapsed nodes to their schema so they appear in the cluster
+        for node, data in graph.nodes(data=True):
+            if data.get("collapsed") and data.get("schema_name"):
+                schema_map[node] = data["schema_name"]
+
+        scale = 1.2  # scaling factor for fonts and boxes
+        label_props = {  # http://matplotlib.org/examples/color/named_colors.html
+            None: dict(
+                shape="circle",
+                color="#FFFF0040",
+                fontcolor="yellow",
+                fontsize=round(scale * 8),
+                size=0.4 * scale,
+                fixed=False,
+            ),
+            _AliasNode: dict(
+                shape="circle",
+                color="#FF880080",
+                fontcolor="#FF880080",
+                fontsize=round(scale * 0),
+                size=0.05 * scale,
+                fixed=True,
+            ),
+            Manual: dict(
+                shape="box",
+                color="#00FF0030",
+                fontcolor="darkgreen",
+                fontsize=round(scale * 10),
+                size=0.4 * scale,
+                fixed=False,
+            ),
+            Lookup: dict(
+                shape="plaintext",
+                color="#00000020",
+                fontcolor="black",
+                fontsize=round(scale * 8),
+                size=0.4 * scale,
+                fixed=False,
+            ),
+            Computed: dict(
+                shape="ellipse",
+                color="#FF000020",
+                fontcolor="#7F0000A0",
+                fontsize=round(scale * 10),
+                size=0.4 * scale,
+                fixed=False,
+            ),
+            Imported: dict(
+                shape="ellipse",
+                color="#00007F40",
+                fontcolor="#00007FA0",
+                fontsize=round(scale * 10),
+                size=0.4 * scale,
+                fixed=False,
+            ),
+            Part: dict(
+                shape="plaintext",
+                color="#00000000",
+                fontcolor="black",
+                fontsize=round(scale * 8),
+                size=0.1 * scale,
+                fixed=False,
+            ),
+            "collapsed": dict(
+                shape="box3d",
+                color="#80808060",
+                fontcolor="#404040",
+                fontsize=round(scale * 10),
+                size=0.5 * scale,
+                fixed=False,
+            ),
+        }
+        # Build node_props, handling collapsed nodes specially
+        node_props = {}
+        for node, d in graph.nodes(data=True):
+            if d.get("collapsed"):
+                node_props[node] = label_props["collapsed"]
+            else:
+                node_props[node] = label_props[d["node_type"]]
+
+        self._encapsulate_node_names(graph)
+        self._encapsulate_edge_attributes(graph)
+        dot = nx.drawing.nx_pydot.to_pydot(graph)
+        dot.set_rankdir(direction)
+        for node in dot.get_nodes():
+            node.set_shape("circle")
+            name = node.get_name().strip('"')
+            props = node_props[name]
+            node.set_fontsize(props["fontsize"])
+            node.set_fontcolor(props["fontcolor"])
+            node.set_shape(props["shape"])
+            node.set_fontname("arial")
+            node.set_fixedsize("shape" if props["fixed"] else False)
+            node.set_width(props["size"])
+            node.set_height(props["size"])
+
+            # Handle collapsed nodes specially
+            node_data = graph.nodes.get(f'"{name}"', {})
+            if node_data.get("collapsed"):
+                table_count = node_data.get("table_count", 0)
+                label = f"({table_count} tables)" if table_count != 1 else "(1 table)"
+                node.set_label(label)
+                node.set_tooltip(f"Collapsed schema: {table_count} tables")
+            else:
+                cls = self._resolve_class(name)
+                if cls is not None:
+                    description = cls().describe(context=self.context).split("\n")
+                    description = (
+                        ("-" * 30 if q.startswith("---") else (q.replace("->", "&#8594;") if "->" in q else q.split(":")[0]))
+                        for q in description
+                        if not q.startswith("#")
+                    )
+                    node.set_tooltip("&#13;".join(description))
+                # Strip module prefix from label if it matches the cluster label
+                display_name = name
+                schema_name = schema_map.get(name)
+                if schema_name and "." in name:
+                    cluster_label = cluster_labels.get(schema_name)
+                    if cluster_label and name.startswith(cluster_label + "."):
+                        display_name = name[len(cluster_label) + 1 :]
+                node.set_label("<<u>" + display_name + "</u>>" if node.get("distinguished") == "True" else display_name)
+            node.set_color(props["color"])
+            node.set_style("filled")
+
+        for edge in dot.get_edges():
+            # see https://graphviz.org/doc/info/attrs.html
+            src = edge.get_source()
+            dest = edge.get_destination()
+            props = graph.get_edge_data(src, dest)
+            if props is None:
+                raise DataJointError("Could not find edge with source '{}' and destination '{}'".format(src, dest))
+            edge.set_color("#00000040")
+            edge.set_style("solid" if props.get("primary") else "dashed")
+            dest_node_type = graph.nodes[dest].get("node_type")
+            master_part = dest_node_type is Part and dest.startswith(src + ".")
+            edge.set_weight(3 if master_part else 1)
+            edge.set_arrowhead("none")
+            edge.set_penwidth(0.75 if props.get("multi") else 2)
+
+        # Group nodes into schema clusters (always on)
+        if schema_map:
+            import pydot
+
+            # Group nodes by schema
             schemas = {}
-            for node, data in graph.nodes(data=True):
-                if data.get("collapsed"):
-                    # Collapsed nodes use their schema_name attribute
-                    schema_name = data.get("schema_name")
-                else:
-                    schema_name = schema_map.get(node)
+            for node in list(dot.get_nodes()):
+                name = node.get_name().strip('"')
+                schema_name = schema_map.get(name)
                 if schema_name:
                     if schema_name not in schemas:
                         schemas[schema_name] = []
-                    schemas[schema_name].append((node, data))
+                    schemas[schema_name].append(node)
 
-            # Add nodes grouped by schema subgraphs
+            # Create clusters for each schema
+            # Use Python module name if 1:1 mapping, otherwise database schema name
             for schema_name, nodes in schemas.items():
                 label = cluster_labels.get(schema_name, schema_name)
-                lines.append(f"    subgraph {label}")
-                for node, data in nodes:
-                    safe_id = node.replace(".", "_").replace(" ", "_")
-                    if data.get("collapsed"):
-                        # Collapsed node - show only table count
-                        table_count = data.get("table_count", 0)
-                        count_text = f"{table_count} tables" if table_count != 1 else "1 table"
-                        lines.append(f'        {safe_id}[["({count_text})"]]:::collapsed')
-                    else:
-                        # Regular node
-                        tier = data.get("node_type")
-                        left, right = shape_map.get(tier, ("[", "]"))
-                        cls = tier_class.get(tier, "")
-                        # Strip module prefix from display name if it matches the cluster label
-                        display_name = node
-                        if "." in node and node.startswith(label + "."):
-                            display_name = node[len(label) + 1 :]
-                        class_suffix = f":::{cls}" if cls else ""
-                        lines.append(f"        {safe_id}{left}{display_name}{right}{class_suffix}")
-                lines.append("    end")
-
-            lines.append("")
-
-            # Add edges
-            for src, dest, data in graph.edges(data=True):
-                safe_src = src.replace(".", "_").replace(" ", "_")
-                safe_dest = dest.replace(".", "_").replace(" ", "_")
-                # Solid arrow for primary FK, dotted for non-primary
-                style = "-->" if data.get("primary") else "-.->"
-                lines.append(f"    {safe_src} {style} {safe_dest}")
-
-            return "\n".join(lines)
-
-        def _repr_svg_(self):
-            return self.make_svg()._repr_svg_()
-
-        def draw(self):
-            if plot_active:
-                plt.imshow(self.make_image())
-                plt.gca().axis("off")
-                plt.show()
+                cluster = pydot.Cluster(
+                    f"cluster_{schema_name}",
+                    label=label,
+                    style="dashed",
+                    color="gray",
+                    fontcolor="gray",
+                )
+                for node in nodes:
+                    cluster.add_node(node)
+                dot.add_subgraph(cluster)
+
+        return dot
+
+    def make_svg(self):
+        from IPython.display import SVG
+
+        return SVG(self.make_dot().create_svg())
+
+    def make_png(self):
+        return io.BytesIO(self.make_dot().create_png())
+
+    def make_image(self):
+        if plot_active:
+            return plt.imread(self.make_png())
+        else:
+            raise DataJointError("pyplot was not imported")
+
+    def make_mermaid(self) -> str:
+        """
+        Generate Mermaid diagram syntax.
+
+        Produces a flowchart in Mermaid syntax that can be rendered in
+        Markdown documentation, GitHub, or https://mermaid.live.
+
+        Returns
+        -------
+        str
+            Mermaid flowchart syntax.
+
+        Notes
+        -----
+        Layout direction is controlled via ``dj.config.display.diagram_direction``.
+        Tables are grouped by schema using Mermaid subgraphs, with the Python
+        module name shown as the group label when available.
+
+        Examples
+        --------
+        >>> print(dj.Diagram(schema).make_mermaid())
+        flowchart TB
+            subgraph my_pipeline
+                Mouse[Mouse]:::manual
+                Session[Session]:::manual
+                Neuron([Neuron]):::computed
+            end
+            Mouse --> Session
+            Session --> Neuron
+        """
+        graph = self._make_graph()
+        direction = self._connection._config.display.diagram_direction
+
+        # Apply collapse logic if needed
+        graph, collapsed_counts = self._apply_collapse(graph)
+
+        # Build schema mapping for grouping
+        schema_map = {}  # class_name -> schema_name
+        schema_modules = {}  # schema_name -> set of module names
+
+        for full_name in self.nodes_to_show:
+            parts = full_name.replace('"', "`").split("`")
+            if len(parts) >= 2:
+                schema_name = parts[1]
+                class_name = lookup_class_name(full_name, self.context) or full_name
+                schema_map[class_name] = schema_name
+
+                # Collect all module names for this schema
+                if schema_name not in schema_modules:
+                    schema_modules[schema_name] = set()
+                cls = self._resolve_class(class_name)
+                if cls is not None and hasattr(cls, "__module__"):
+                    module_name = cls.__module__.split(".")[-1]
+                    schema_modules[schema_name].add(module_name)
+
+        # Determine cluster labels: use module name if 1:1, else database schema name
+        cluster_labels = {}
+        for schema_name, modules in schema_modules.items():
+            if len(modules) == 1:
+                cluster_labels[schema_name] = next(iter(modules))
             else:
-                raise DataJointError("pyplot was not imported")
-
-        def save(self, filename: str, format: str | None = None) -> None:
-            """
-            Save diagram to file.
-
-            Parameters
-            ----------
-            filename : str
-                Output filename.
-            format : str, optional
-                File format (``'png'``, ``'svg'``, or ``'mermaid'``).
-                Inferred from extension if None.
-
-            Raises
-            ------
-            DataJointError
-                If format is unsupported.
-
-            Notes
-            -----
-            Layout direction is controlled via ``dj.config.display.diagram_direction``.
-            Tables are grouped by schema, with the Python module name shown as the
-            group label when available.
-            """
-            if format is None:
-                if filename.lower().endswith(".png"):
-                    format = "png"
-                elif filename.lower().endswith(".svg"):
-                    format = "svg"
-                elif filename.lower().endswith((".mmd", ".mermaid")):
-                    format = "mermaid"
-            if format is None:
-                raise DataJointError("Could not infer format from filename. Specify format explicitly.")
-            if format.lower() == "png":
-                with open(filename, "wb") as f:
-                    f.write(self.make_png().getbuffer().tobytes())
-            elif format.lower() == "svg":
-                with open(filename, "w") as f:
-                    f.write(self.make_svg().data)
-            elif format.lower() == "mermaid":
-                with open(filename, "w") as f:
-                    f.write(self.make_mermaid())
+                cluster_labels[schema_name] = schema_name
+
+        # Assign alias nodes to the same schema as their child table
+        for node, data in graph.nodes(data=True):
+            if data.get("node_type") is _AliasNode:
+                successors = list(graph.successors(node))
+                if successors and successors[0] in schema_map:
+                    schema_map[node] = schema_map[successors[0]]
+
+        lines = [f"flowchart {direction}"]
+
+        # Define class styles matching Graphviz colors
+        lines.append("    classDef manual fill:#90EE90,stroke:#006400")
+        lines.append("    classDef lookup fill:#D3D3D3,stroke:#696969")
+        lines.append("    classDef computed fill:#FFB6C1,stroke:#8B0000")
+        lines.append("    classDef imported fill:#ADD8E6,stroke:#00008B")
+        lines.append("    classDef part fill:#FFFFFF,stroke:#000000")
+        lines.append("    classDef collapsed fill:#808080,stroke:#404040")
+        lines.append("")
+
+        # Shape mapping: Manual=box, Computed/Imported=stadium, Lookup/Part=box
+        shape_map = {
+            Manual: ("[", "]"),  # box
+            Lookup: ("[", "]"),  # box
+            Computed: ("([", "])"),  # stadium/pill
+            Imported: ("([", "])"),  # stadium/pill
+            Part: ("[", "]"),  # box
+            _AliasNode: ("((", "))"),  # circle
+            None: ("((", "))"),  # circle
+        }
+
+        tier_class = {
+            Manual: "manual",
+            Lookup: "lookup",
+            Computed: "computed",
+            Imported: "imported",
+            Part: "part",
+            _AliasNode: "",
+            None: "",
+        }
+
+        # Group nodes by schema into subgraphs (including collapsed nodes)
+        schemas = {}
+        for node, data in graph.nodes(data=True):
+            if data.get("collapsed"):
+                # Collapsed nodes use their schema_name attribute
+                schema_name = data.get("schema_name")
             else:
-                raise DataJointError("Unsupported file format")
+                schema_name = schema_map.get(node)
+            if schema_name:
+                if schema_name not in schemas:
+                    schemas[schema_name] = []
+                schemas[schema_name].append((node, data))
+
+        # Add nodes grouped by schema subgraphs
+        for schema_name, nodes in schemas.items():
+            label = cluster_labels.get(schema_name, schema_name)
+            lines.append(f"    subgraph {label}")
+            for node, data in nodes:
+                safe_id = node.replace(".", "_").replace(" ", "_")
+                if data.get("collapsed"):
+                    # Collapsed node - show only table count
+                    table_count = data.get("table_count", 0)
+                    count_text = f"{table_count} tables" if table_count != 1 else "1 table"
+                    lines.append(f'        {safe_id}[["({count_text})"]]:::collapsed')
+                else:
+                    # Regular node
+                    tier = data.get("node_type")
+                    left, right = shape_map.get(tier, ("[", "]"))
+                    cls = tier_class.get(tier, "")
+                    # Strip module prefix from display name if it matches the cluster label
+                    display_name = node
+                    if "." in node and node.startswith(label + "."):
+                        display_name = node[len(label) + 1 :]
+                    class_suffix = f":::{cls}" if cls else ""
+                    lines.append(f"        {safe_id}{left}{display_name}{right}{class_suffix}")
+            lines.append("    end")
+
+        lines.append("")
+
+        # Add edges
+        for src, dest, data in graph.edges(data=True):
+            safe_src = src.replace(".", "_").replace(" ", "_")
+            safe_dest = dest.replace(".", "_").replace(" ", "_")
+            # Solid arrow for primary FK, dotted for non-primary
+            style = "-->" if data.get("primary") else "-.->"
+            lines.append(f"    {safe_src} {style} {safe_dest}")
+
+        return "\n".join(lines)
+
+    def _repr_svg_(self):
+        return self.make_svg()._repr_svg_()
+
+    def draw(self):
+        if plot_active:
+            plt.imshow(self.make_image())
+            plt.gca().axis("off")
+            plt.show()
+        else:
+            raise DataJointError("pyplot was not imported")
+
+    def save(self, filename: str, format: str | None = None) -> None:
+        """
+        Save diagram to file.
 
-        @staticmethod
-        def _layout(graph, **kwargs):
-            return pydot_layout(graph, prog="dot", **kwargs)
+        Parameters
+        ----------
+        filename : str
+            Output filename.
+        format : str, optional
+            File format (``'png'``, ``'svg'``, or ``'mermaid'``).
+            Inferred from extension if None.
+
+        Raises
+        ------
+        DataJointError
+            If format is unsupported.
+
+        Notes
+        -----
+        Layout direction is controlled via ``dj.config.display.diagram_direction``.
+        Tables are grouped by schema, with the Python module name shown as the
+        group label when available.
+        """
+        if format is None:
+            if filename.lower().endswith(".png"):
+                format = "png"
+            elif filename.lower().endswith(".svg"):
+                format = "svg"
+            elif filename.lower().endswith((".mmd", ".mermaid")):
+                format = "mermaid"
+        if format is None:
+            raise DataJointError("Could not infer format from filename. Specify format explicitly.")
+        if format.lower() == "png":
+            with open(filename, "wb") as f:
+                f.write(self.make_png().getbuffer().tobytes())
+        elif format.lower() == "svg":
+            with open(filename, "w") as f:
+                f.write(self.make_svg().data)
+        elif format.lower() == "mermaid":
+            with open(filename, "w") as f:
+                f.write(self.make_mermaid())
+        else:
+            raise DataJointError("Unsupported file format")
+
+    @staticmethod
+    def _layout(graph, **kwargs):
+        return pydot_layout(graph, prog="dot", **kwargs)
diff --git a/src/datajoint/hash_registry.py b/src/datajoint/hash_registry.py
index 331c836cd..00ed35386 100644
--- a/src/datajoint/hash_registry.py
+++ b/src/datajoint/hash_registry.py
@@ -130,7 +130,7 @@ def build_hash_path(
         return f"_hash/{schema_name}/{content_hash}"
 
 
-def get_store_backend(store_name: str | None = None, config=None) -> StorageBackend:
+def get_store_backend(store_name: str | None = None, config: Any = None) -> StorageBackend:
     """
     Get a StorageBackend for hash-addressed storage.
 
@@ -153,7 +153,7 @@ def get_store_backend(store_name: str | None = None, config=None) -> StorageBack
     return StorageBackend(spec)
 
 
-def get_store_subfolding(store_name: str | None = None, config=None) -> tuple[int, ...] | None:
+def get_store_subfolding(store_name: str | None = None, config: Any = None) -> tuple[int, ...] | None:
     """
     Get the subfolding configuration for a store.
 
@@ -182,7 +182,7 @@ def put_hash(
     data: bytes,
     schema_name: str,
     store_name: str | None = None,
-    config=None,
+    config: Any = None,
 ) -> dict[str, Any]:
     """
     Store content using hash-addressed storage.
@@ -231,7 +231,7 @@ def put_hash(
     }
 
 
-def get_hash(metadata: dict[str, Any], config=None) -> bytes:
+def get_hash(metadata: dict[str, Any], config: Any = None) -> bytes:
     """
     Retrieve content using stored metadata.
 
@@ -275,7 +275,7 @@ def get_hash(metadata: dict[str, Any], config=None) -> bytes:
 def delete_path(
     path: str,
     store_name: str | None = None,
-    config=None,
+    config: Any = None,
 ) -> bool:
     """
     Delete content at the specified path from storage.
diff --git a/src/datajoint/table.py b/src/datajoint/table.py
index 256fab6e9..6907cc7c4 100644
--- a/src/datajoint/table.py
+++ b/src/datajoint/table.py
@@ -18,13 +18,12 @@
     AccessError,
     DataJointError,
     DuplicateError,
-    IntegrityError,
     UnknownAttributeError,
 )
 from .expression import QueryExpression
 from .heading import Heading
 from .staged_insert import staged_insert1 as _staged_insert1
-from .utils import get_master, is_camel_case, user_choice
+from .utils import is_camel_case, user_choice
 
 logger = logging.getLogger(__name__.split(".")[0])
 
@@ -974,10 +973,15 @@ def delete(
         transaction: bool = True,
         prompt: bool | None = None,
         part_integrity: str = "enforce",
-    ) -> int:
+        dry_run: bool = False,
+    ) -> int | dict[str, int]:
         """
         Deletes the contents of the table and its dependent tables, recursively.
 
+        Uses graph-driven cascade: builds a dependency diagram, propagates
+        restrictions to all descendants, then deletes in reverse topological
+        order (leaves first).
+
         Args:
             transaction: If `True`, use of the entire delete becomes an atomic transaction.
                 This is the default and recommended behavior. Set to `False` if this delete is
@@ -988,187 +992,25 @@ def delete(
                 - ``"enforce"`` (default): Error if parts would be deleted without masters.
                 - ``"ignore"``: Allow deleting parts without masters (breaks integrity).
                 - ``"cascade"``: Also delete masters when parts are deleted (maintains integrity).
+            dry_run: If `True`, return a dict mapping full table names to affected
+                row counts without deleting any data. Default False.
 
         Returns:
-            Number of deleted rows (excluding those from dependent tables).
+            Number of deleted rows (excluding those from dependent tables), or
+            (if ``dry_run``) a dict mapping full table name to affected row count.
 
         Raises:
-            DataJointError: Delete exceeds maximum number of delete attempts.
             DataJointError: When deleting within an existing transaction.
             DataJointError: Deleting a part table before its master (when part_integrity="enforce").
             ValueError: Invalid part_integrity value.
         """
         if part_integrity not in ("enforce", "ignore", "cascade"):
-            raise ValueError(f"part_integrity must be 'enforce', 'ignore', or 'cascade', got {part_integrity!r}")
-        deleted = set()
-        visited_masters = set()
-
-        def cascade(table):
-            """service function to perform cascading deletes recursively."""
-            max_attempts = 50
-            for _ in range(max_attempts):
-                # Set savepoint before delete attempt (for PostgreSQL transaction handling)
-                savepoint_name = f"cascade_delete_{id(table)}"
-                if transaction:
-                    table.connection.query(f"SAVEPOINT {savepoint_name}")
-
-                try:
-                    delete_count = table.delete_quick(get_count=True)
-                except IntegrityError as error:
-                    # Rollback to savepoint so we can continue querying (PostgreSQL requirement)
-                    if transaction:
-                        table.connection.query(f"ROLLBACK TO SAVEPOINT {savepoint_name}")
-                    # Use adapter to parse FK error message
-                    match = table.connection.adapter.parse_foreign_key_error(error.args[0])
-                    if match is None:
-                        raise DataJointError(
-                            "Cascading deletes failed because the error message is missing foreign key information. "
-                            "Make sure you have REFERENCES privilege to all dependent tables."
-                        ) from None
-
-                    # Strip quotes from parsed values for backend-agnostic processing
-                    quote_chars = ("`", '"')
-
-                    def strip_quotes(s):
-                        if s and any(s.startswith(q) for q in quote_chars):
-                            return s.strip('`"')
-                        return s
-
-                    # Extract schema and table name from child (work with unquoted names)
-                    child_table_raw = strip_quotes(match["child"])
-                    if "." in child_table_raw:
-                        child_parts = child_table_raw.split(".")
-                        child_schema = strip_quotes(child_parts[0])
-                        child_table_name = strip_quotes(child_parts[1])
-                    else:
-                        # Add schema from current table
-                        schema_parts = table.full_table_name.split(".")
-                        child_schema = strip_quotes(schema_parts[0])
-                        child_table_name = child_table_raw
-
-                    # If FK/PK attributes not in error message, query information_schema
-                    if match["fk_attrs"] is None or match["pk_attrs"] is None:
-                        constraint_query = table.connection.adapter.get_constraint_info_sql(
-                            strip_quotes(match["name"]),
-                            child_schema,
-                            child_table_name,
-                        )
-
-                        results = table.connection.query(
-                            constraint_query,
-                            args=(strip_quotes(match["name"]), child_schema, child_table_name),
-                        ).fetchall()
-                        if results:
-                            match["fk_attrs"], match["parent"], match["pk_attrs"] = list(map(list, zip(*results)))
-                            match["parent"] = match["parent"][0]  # All rows have same parent
-
-                    # Build properly quoted full table name for FreeTable
-                    child_full_name = (
-                        f"{table.connection.adapter.quote_identifier(child_schema)}."
-                        f"{table.connection.adapter.quote_identifier(child_table_name)}"
-                    )
-
-                    # Restrict child by table if
-                    #   1. if table's restriction attributes are not in child's primary key
-                    #   2. if child renames any attributes
-                    # Otherwise restrict child by table's restriction.
-                    child = FreeTable(table.connection, child_full_name)
-                    if set(table.restriction_attributes) <= set(child.primary_key) and match["fk_attrs"] == match["pk_attrs"]:
-                        child._restriction = table._restriction
-                        child._restriction_attributes = table.restriction_attributes
-                    elif match["fk_attrs"] != match["pk_attrs"]:
-                        child &= table.proj(**dict(zip(match["fk_attrs"], match["pk_attrs"])))
-                    else:
-                        child &= table.proj()
-
-                    master_name = get_master(child.full_table_name, table.connection.adapter)
-                    if (
-                        part_integrity == "cascade"
-                        and master_name
-                        and master_name != table.full_table_name
-                        and master_name not in visited_masters
-                    ):
-                        master = FreeTable(table.connection, master_name)
-                        master._restriction_attributes = set()
-                        master._restriction = [
-                            make_condition(  # &= may cause in target tables in subquery
-                                master,
-                                (master.proj() & child.proj()).to_arrays(),
-                                master._restriction_attributes,
-                            )
-                        ]
-                        visited_masters.add(master_name)
-                        cascade(master)
-                    else:
-                        cascade(child)
-                else:
-                    # Successful delete - release savepoint
-                    if transaction:
-                        table.connection.query(f"RELEASE SAVEPOINT {savepoint_name}")
-                    deleted.add(table.full_table_name)
-                    logger.info("Deleting {count} rows from {table}".format(count=delete_count, table=table.full_table_name))
-                    break
-            else:
-                raise DataJointError("Exceeded maximum number of delete attempts.")
-            return delete_count
-
-        prompt = self.connection._config["safemode"] if prompt is None else prompt
-
-        # Start transaction
-        if transaction:
-            if not self.connection.in_transaction:
-                self.connection.start_transaction()
-            else:
-                if not prompt:
-                    transaction = False
-                else:
-                    raise DataJointError(
-                        "Delete cannot use a transaction within an ongoing transaction. Set transaction=False or prompt=False."
-                    )
+            raise ValueError(f"part_integrity must be 'enforce', 'ignore', or 'cascade', " f"got {part_integrity!r}")
+        from .diagram import Diagram
 
-        # Cascading delete
-        try:
-            delete_count = cascade(self)
-        except:
-            if transaction:
-                self.connection.cancel_transaction()
-            raise
-
-        if part_integrity == "enforce":
-            # Avoid deleting from part before master (See issue #151)
-            for part in deleted:
-                master = get_master(part, self.connection.adapter)
-                if master and master not in deleted:
-                    if transaction:
-                        self.connection.cancel_transaction()
-                    raise DataJointError(
-                        "Attempt to delete part table {part} before deleting from its master {master} first. "
-                        "Use part_integrity='ignore' to allow, or part_integrity='cascade' to also delete master.".format(
-                            part=part, master=master
-                        )
-                    )
-
-        # Confirm and commit
-        if delete_count == 0:
-            if prompt:
-                logger.warning("Nothing to delete.")
-            if transaction:
-                self.connection.cancel_transaction()
-        elif not transaction:
-            logger.info("Delete completed")
-        else:
-            if not prompt or user_choice("Commit deletes?", default="no") == "yes":
-                if transaction:
-                    self.connection.commit_transaction()
-                if prompt:
-                    logger.info("Delete committed.")
-            else:
-                if transaction:
-                    self.connection.cancel_transaction()
-                if prompt:
-                    logger.warning("Delete cancelled")
-                delete_count = 0  # Reset count when delete is cancelled
-        return delete_count
+        diagram = Diagram._from_table(self)
+        diagram = diagram.cascade(self, part_integrity=part_integrity)
+        return diagram.delete(transaction=transaction, prompt=prompt, dry_run=dry_run)
 
     def drop_quick(self):
         """
@@ -1208,42 +1050,34 @@ def drop_quick(self):
         else:
             logger.info("Nothing to drop: table %s is not declared" % self.full_table_name)
 
-    def drop(self, prompt: bool | None = None):
+    def drop(self, prompt: bool | None = None, part_integrity: str = "enforce", dry_run: bool = False):
         """
         Drop the table and all tables that reference it, recursively.
 
+        Uses graph-driven traversal: builds a dependency diagram and drops
+        in reverse topological order (leaves first).
+
         Args:
             prompt: If `True`, show what will be dropped and ask for confirmation.
                 If `False`, drop without confirmation. Default is `dj.config['safemode']`.
+            part_integrity: Policy for master-part integrity. One of:
+                - ``"enforce"`` (default): Error if parts would be dropped without masters.
+                - ``"ignore"``: Allow dropping parts without masters.
+            dry_run: If `True`, return a dict mapping full table names to row
+                counts without dropping any tables. Default False.
+
+        Returns:
+            dict[str, int] or None: If ``dry_run``, mapping of full table name
+            to row count. Otherwise None.
         """
         if self.restriction:
             raise DataJointError(
-                "A table with an applied restriction cannot be dropped. Call drop() on the unrestricted Table."
+                "A table with an applied restriction cannot be dropped. " "Call drop() on the unrestricted Table."
             )
-        prompt = self.connection._config["safemode"] if prompt is None else prompt
-
-        self.connection.dependencies.load()
-        do_drop = True
-        tables = [table for table in self.connection.dependencies.descendants(self.full_table_name) if not table.isdigit()]
-
-        # avoid dropping part tables without their masters: See issue #374
-        for part in tables:
-            master = get_master(part, self.connection.adapter)
-            if master and master not in tables:
-                raise DataJointError(
-                    "Attempt to drop part table {part} before dropping its master. Drop {master} first.".format(
-                        part=part, master=master
-                    )
-                )
+        from .diagram import Diagram
 
-        if prompt:
-            for table in tables:
-                logger.info(table + " (%d tuples)" % len(FreeTable(self.connection, table)))
-            do_drop = user_choice("Proceed?", default="no") == "yes"
-        if do_drop:
-            for table in reversed(tables):
-                FreeTable(self.connection, table).drop_quick()
-            logger.info("Tables dropped. Restart kernel.")
+        diagram = Diagram._from_table(self)
+        return diagram.drop(prompt=prompt, part_integrity=part_integrity, dry_run=dry_run)
 
     def describe(self, context=None, printout=False):
         """
diff --git a/src/datajoint/user_tables.py b/src/datajoint/user_tables.py
index 4c2ba8d4c..ced5f4c25 100644
--- a/src/datajoint/user_tables.py
+++ b/src/datajoint/user_tables.py
@@ -239,7 +239,7 @@ def delete(self, part_integrity: str = "enforce", **kwargs):
             )
         super().delete(part_integrity=part_integrity, **kwargs)
 
-    def drop(self, part_integrity: str = "enforce"):
+    def drop(self, part_integrity: str = "enforce", dry_run: bool = False):
         """
         Drop a Part table.
 
@@ -248,12 +248,13 @@ def drop(self, part_integrity: str = "enforce"):
                 - ``"enforce"`` (default): Error - drop master instead.
                 - ``"ignore"``: Allow direct drop (breaks master-part structure).
                 Note: ``"cascade"`` is not supported for drop (too destructive).
+            dry_run: If `True`, return row counts without dropping. Default False.
 
         Raises:
             DataJointError: If part_integrity="enforce" (direct Part drops prohibited)
         """
         if part_integrity == "ignore":
-            super().drop()
+            return super().drop(part_integrity="ignore", dry_run=dry_run)
         elif part_integrity == "enforce":
             raise DataJointError("Cannot drop a Part directly. Drop master instead, or use part_integrity='ignore' to force.")
         else:
diff --git a/src/datajoint/version.py b/src/datajoint/version.py
index 871a28cbb..9a1d4aff2 100644
--- a/src/datajoint/version.py
+++ b/src/datajoint/version.py
@@ -1,4 +1,4 @@
 # version bump auto managed by Github Actions:
 # label_prs.yaml(prep), release.yaml(bump), post_release.yaml(edit)
 # manually set this version will be eventually overwritten by the above actions
-__version__ = "2.1.1"
+__version__ = "2.2.0.dev0"
diff --git a/tests/integration/test_cascade_delete.py b/tests/integration/test_cascade_delete.py
index caf5f331b..2964bb877 100644
--- a/tests/integration/test_cascade_delete.py
+++ b/tests/integration/test_cascade_delete.py
@@ -188,3 +188,86 @@ class Observation(dj.Manual):
     assert remaining_obs[0]["obs_id"] == 3
     assert remaining_obs[0]["subject_id"] == 2
     assert remaining_obs[0]["measurement"] == 15.3
+
+
+def test_delete_dry_run(schema_by_backend):
+    """dry_run=True returns affected row counts without deleting data."""
+
+    @schema_by_backend
+    class Parent(dj.Manual):
+        definition = """
+        parent_id : int
+        ---
+        name : varchar(255)
+        """
+
+    @schema_by_backend
+    class Child(dj.Manual):
+        definition = """
+        -> Parent
+        child_id : int
+        ---
+        data : varchar(255)
+        """
+
+    Parent.insert1((1, "P1"))
+    Parent.insert1((2, "P2"))
+    Child.insert1((1, 1, "C1-1"))
+    Child.insert1((1, 2, "C1-2"))
+    Child.insert1((2, 1, "C2-1"))
+
+    # dry_run on restricted delete
+    counts = (Parent & {"parent_id": 1}).delete(dry_run=True)
+
+    assert isinstance(counts, dict)
+    assert counts[Parent.full_table_name] == 1
+    assert counts[Child.full_table_name] == 2
+
+    # Data must still be intact
+    assert len(Parent()) == 2
+    assert len(Child()) == 3
+
+    # dry_run on unrestricted delete
+    counts_all = Parent.delete(dry_run=True)
+    assert counts_all[Parent.full_table_name] == 2
+    assert counts_all[Child.full_table_name] == 3
+
+    # Still intact
+    assert len(Parent()) == 2
+    assert len(Child()) == 3
+
+
+def test_drop_dry_run(schema_by_backend):
+    """dry_run=True returns row counts without dropping tables."""
+
+    @schema_by_backend
+    class Parent(dj.Manual):
+        definition = """
+        parent_id : int
+        ---
+        name : varchar(255)
+        """
+
+    @schema_by_backend
+    class Child(dj.Manual):
+        definition = """
+        -> Parent
+        child_id : int
+        ---
+        data : varchar(255)
+        """
+
+    Parent.insert1((1, "P1"))
+    Child.insert1((1, 1, "C1"))
+
+    counts = Parent.drop(dry_run=True)
+
+    assert isinstance(counts, dict)
+    assert counts[Parent.full_table_name] == 1
+    assert counts[Child.full_table_name] == 1
+
+    # Tables must still exist and have data
+    assert Parent.is_declared
+    assert Child.is_declared
+    assert len(Parent()) == 1
+    assert len(Child()) == 1
diff --git a/tests/integration/test_cli.py b/tests/integration/test_cli.py
index 35230ea4e..1f8144f0f 100644
--- a/tests/integration/test_cli.py
+++ b/tests/integration/test_cli.py
@@ -3,6 +3,7 @@
 """
 
 import subprocess
+import sys
 
 import pytest
 
@@ -31,7 +32,7 @@ def test_cli_help(capsys):
 
 def test_cli_config():
     process = subprocess.Popen(
-        ["dj"],
+        [sys.executable, "-m", "datajoint.cli"],
         stdin=subprocess.PIPE,
         stdout=subprocess.PIPE,
         stderr=subprocess.PIPE,
@@ -50,7 +51,7 @@ def test_cli_config():
 
 def test_cli_args():
     process = subprocess.Popen(
-        ["dj", "-u", "test_user", "-p", "test_pass", "--host", "test_host"],
+        [sys.executable, "-m", "datajoint.cli", "-u", "test_user", "-p", "test_pass", "--host", "test_host"],
         stdin=subprocess.PIPE,
         stdout=subprocess.PIPE,
         stderr=subprocess.PIPE,
@@ -82,7 +83,9 @@ class IJ(dj.Lookup):
     # Pass credentials via CLI args to avoid prompting for username
     process = subprocess.Popen(
         [
-            "dj",
+            sys.executable,
+            "-m",
+            "datajoint.cli",
             "-u",
             db_creds_root["user"],
             "-p",
diff --git a/tests/integration/test_erd.py b/tests/integration/test_erd.py
index 95077da50..92a8ad682 100644
--- a/tests/integration/test_erd.py
+++ b/tests/integration/test_erd.py
@@ -1,6 +1,8 @@
+import pytest as _pytest
+
 import datajoint as dj
 
-from tests.schema_simple import LOCALS_SIMPLE, A, B, D, E, G, L
+from tests.schema_simple import LOCALS_SIMPLE, A, B, D, E, G, L, Profile, Website
 
 
 def test_decorator(schema_simp):
@@ -61,3 +63,105 @@ def test_part_table_parsing(schema_simp):
     graph = erd._make_graph()
     assert "OutfitLaunch" in graph.nodes()
     assert "OutfitLaunch.OutfitPiece" in graph.nodes()
+
+
+# --- prune() tests ---
+
+
+@_pytest.fixture
+def schema_simp_pop(schema_simp):
+    """Populate the simple schema for prune tests."""
+    Profile().delete()
+    Website().delete()
+    G().delete()
+    E().delete()
+    D().delete()
+    B().delete()
+    L().delete()
+    A().delete()
+
+    A().insert(A.contents, skip_duplicates=True)
+    L().insert(L.contents, skip_duplicates=True)
+    B().populate()
+    D().populate()
+    E().populate()
+    G().populate()
+    yield schema_simp
+
+
+def test_prune_unrestricted(schema_simp_pop):
+    """Prune on unrestricted diagram removes physically empty tables."""
+    diag = dj.Diagram(schema_simp_pop, context=LOCALS_SIMPLE)
+    original_count = len(diag.nodes_to_show)
+    pruned = diag.prune()
+
+    # Populated tables (A, L, B, B.C, D, E, E.F, G, etc.) should survive
+    for cls in (A, B, D, E, L):
+        assert cls.full_table_name in pruned.nodes_to_show, f"{cls.__name__} should not be pruned"
+
+    # Empty tables like Profile should be removed
+    assert Profile.full_table_name not in pruned.nodes_to_show, "empty Profile should be pruned"
+
+    # Pruned diagram should have fewer nodes
+    assert len(pruned.nodes_to_show) < original_count
+
+
+def test_prune_after_restrict(schema_simp_pop):
+    """Prune after restrict removes tables with zero matching rows."""
+    diag = dj.Diagram(schema_simp_pop, context=LOCALS_SIMPLE)
+    restricted = diag.restrict(A & "id_a=0")
+    counts = restricted.preview()
+
+    pruned = restricted.prune()
+    pruned_counts = pruned.preview()
+
+    # Every table in pruned preview should have > 0 rows
+    assert all(c > 0 for c in pruned_counts.values()), "pruned diagram should have no zero-count tables"
+
+    # Tables with zero rows in the original preview should be gone
+    for table, count in counts.items():
+        if count == 0:
+            assert table not in pruned._restrict_conditions, f"{table} had 0 rows but was not pruned"
+
+
+def test_prune_after_cascade(schema_simp_pop):
+    """Prune after cascade removes tables with zero matching rows."""
+    diag = dj.Diagram(schema_simp_pop, context=LOCALS_SIMPLE)
+    cascaded = diag.cascade(A & "id_a=0")
+    counts = cascaded.preview()
+
+    pruned = cascaded.prune()
+    pruned_counts = pruned.preview()
+
+    assert all(c > 0 for c in pruned_counts.values())
+
+    for table, count in counts.items():
+        if count == 0:
+            assert table not in pruned._cascade_restrictions, f"{table} had 0 rows but was not pruned"
+
+
+def test_prune_idempotent(schema_simp_pop):
+    """Pruning twice gives the same result."""
+    diag = dj.Diagram(schema_simp_pop, context=LOCALS_SIMPLE)
+    restricted = diag.restrict(A & "id_a=0")
+    pruned_once = restricted.prune()
+    pruned_twice = pruned_once.prune()
+
+    assert pruned_once.nodes_to_show == pruned_twice.nodes_to_show
+    assert set(pruned_once._restrict_conditions) == set(pruned_twice._restrict_conditions)
+
+
+def test_prune_then_restrict(schema_simp_pop):
+    """Restrict can be called after prune."""
+    diag = dj.Diagram(schema_simp_pop, context=LOCALS_SIMPLE)
+    pruned = diag.restrict(A & "id_a < 5").prune()
+    # Restrict again on the same seed table with a tighter condition
+    further = pruned.restrict(A & "id_a=0")
+
+    # Should not raise; further restriction should narrow results
+    counts = further.preview()
+    assert all(c >= 0 for c in counts.values())
+    # Tighter restriction should produce fewer or equal rows
+    pruned_counts = pruned.preview()
+    for table in counts:
+        assert counts[table] <= pruned_counts.get(table, 0)