diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 15523390..6abe86f1 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -14,7 +14,7 @@ repos:
       - id: check-useless-excludes
 
   - repo: https://github.com/ComPWA/policy
-    rev: 0.8.9
+    rev: 0.8.10
     hooks:
       - id: check-dev-files
         args:
@@ -61,7 +61,7 @@ repos:
             metadata.vscode
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.15.10
+    rev: v0.15.12
     hooks:
       - id: ruff-check
         args: [--fix]
@@ -114,7 +114,7 @@ repos:
           - --in-place
 
   - repo: https://github.com/python-jsonschema/check-jsonschema
-    rev: 0.37.1
+    rev: 0.37.2
     hooks:
       - id: check-jsonschema
         name: Check CITATION.cff
@@ -154,6 +154,6 @@ repos:
         types_or: [python, pyi, jupyter]
 
   - repo: https://github.com/astral-sh/uv-pre-commit
-    rev: 0.11.6
+    rev: 0.11.13
     hooks:
       - id: uv-lock
diff --git a/docs/amplitude-analysis.ipynb b/docs/amplitude-analysis.ipynb
index c37bfbaa..e5889ba9 100644
--- a/docs/amplitude-analysis.ipynb
+++ b/docs/amplitude-analysis.ipynb
@@ -1501,10 +1501,13 @@
    "outputs": [],
    "source": [
     "from tensorwaves.optimizer import Minuit2\n",
-    "from tensorwaves.optimizer.callbacks import CSVSummary\n",
+    "from tensorwaves.optimizer.callbacks import CallbackList, CSVSummary, TqdmProgressBar\n",
     "\n",
     "minuit2 = Minuit2(\n",
-    "    callback=CSVSummary(\"fit_traceback.csv\"),\n",
+    "    callback=CallbackList([\n",
+    "        CSVSummary(\"fit_traceback.csv\"),\n",
+    "        TqdmProgressBar(),\n",
+    "    ]),\n",
     "    use_analytic_gradient=False,\n",
     ")\n",
     "fit_result = minuit2.optimize(estimator, initial_parameters)\n",
@@ -1905,7 +1908,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.12"
+   "version": "3.13.13"
   }
  },
  "nbformat": 4,
diff --git a/docs/conf.py b/docs/conf.py
index d1997026..a2038726 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -64,6 +64,7 @@ def get_tensorflow_url() -> str:
     "np.ndarray": "numpy.ndarray",
     "ParameterValue": "tensorwaves.interface.ParameterValue",
     "Path": "pathlib.Path",
+    "ProgressColumn": "rich.progress.ProgressColumn",
     "sp.Basic": "sympy.core.basic.Basic",
     "sp.Expr": "sympy.core.expr.Expr",
     "sp.Symbol": "sympy.core.symbol.Symbol",
@@ -212,6 +213,7 @@ def get_tensorflow_url() -> str:
     "pandas": (f"https://pandas.pydata.org/pandas-docs/version/{pin('pandas')}", None),
     "python": ("https://docs.python.org/3", None),
     "qrules": (f"https://qrules.readthedocs.io/{pin('qrules')}", None),
+    "rich": ("https://rich.readthedocs.io/en/stable", None),
     "scipy": (get_scipy_url(), None),
     "sympy": ("https://docs.sympy.org/latest", None),
     "tensorflow": (get_tensorflow_url(), "tensorflow.inv"),
diff --git a/docs/usage/basics.ipynb b/docs/usage/basics.ipynb
index 4b3b7531..ae16c143 100644
--- a/docs/usage/basics.ipynb
+++ b/docs/usage/basics.ipynb
@@ -514,7 +514,8 @@
     "    density=True,\n",
     "    label=\"weighted with $f$\",\n",
     ")\n",
-    "plt.legend();"
+    "plt.legend()\n",
+    "plt.show()"
    ]
   },
   {
@@ -571,7 +572,8 @@
    "source": [
     "%config InlineBackend.figure_formats = ['png']\n",
     "\n",
-    "plt.hist(data[\"x\"], bins=200);"
+    "plt.hist(data[\"x\"], bins=200)\n",
+    "plt.show()"
    ]
   },
   {
@@ -637,7 +639,8 @@
     "    histtype=\"step\",\n",
     "    color=\"red\",\n",
     "    density=True,\n",
-    ");"
+    ")\n",
+    "plt.show()"
    ]
   },
   {
@@ -753,7 +756,8 @@
     "    histtype=\"step\",\n",
     "    color=\"red\",\n",
     "    density=True,\n",
-    ");"
+    ")\n",
+    "plt.show()"
    ]
   },
   {
@@ -913,7 +917,8 @@
     "\n",
     "y_range = (y, -sp.pi, +sp.pi)\n",
     "substituted_expr_2d = expression_2d.subs(parameter_defaults)\n",
-    "plot3d(substituted_expr_2d, x_range, y_range);"
+    "plot3d(substituted_expr_2d, x_range, y_range)\n",
+    "plt.show()"
    ]
   },
   {
@@ -1258,7 +1263,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.12"
+   "version": "3.13.13"
   }
  },
  "nbformat": 4,
diff --git a/pyproject.toml b/pyproject.toml
index 56b791c2..762ed193 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,6 +29,7 @@ dependencies = [
     "attrs >=20.1.0", # https://www.attrs.org/en/stable/api.html#next-gen
     "iminuit >=2.0",
     "numpy",
+    "rich",
     "sympy >=1.9", # lambdify cse
     "tqdm >=4.24.0", # autonotebook
 ]
@@ -116,6 +117,7 @@ notebooks = [
     "ipympl",
     "matplotlib",
     "pandas",
+    "rich[jupyter]",
     "tensorwaves[jax,pwa]",
 ]
 style = [
@@ -376,6 +378,13 @@ ref = "test"
 env = {UV_PYTHON = "3.13"}
 ref = "test"
 
+[tool.poe.tasks.upgrade]
+executor = {type = "simple"}
+parallel = [
+    {cmd = "pre-commit autoupdate -j8"},
+    {cmd = "uv lock --upgrade"},
+]
+
 [tool.pytest]
 addopts = [
     "--color=yes",
diff --git a/src/tensorwaves/function/sympy/__init__.py b/src/tensorwaves/function/sympy/__init__.py
index 8820725b..c27d4714 100644
--- a/src/tensorwaves/function/sympy/__init__.py
+++ b/src/tensorwaves/function/sympy/__init__.py
@@ -458,13 +458,13 @@ def extract_constant_sub_expressions(
     substitutions = {
         expr: sp.Symbol(f"f{i}") for i, expr in enumerate(constant_sub_expressions)
     }
-    top_expression: sp.Expr = expression.xreplace(substitutions)
+    top_expression = expression.xreplace(substitutions)
     sub_expressions = {
         symbol: expr
         for expr, symbol in substitutions.items()
         if symbol in _get_free_symbols(top_expression)
     }
-    return top_expression, sub_expressions
+    return top_expression, sub_expressions  # ty:ignore[invalid-return-type]
 
 
 def prepare_caching(
diff --git a/src/tensorwaves/optimizer/callbacks.py b/src/tensorwaves/optimizer/callbacks.py
index dad28bcd..a9d3315e 100644
--- a/src/tensorwaves/optimizer/callbacks.py
+++ b/src/tensorwaves/optimizer/callbacks.py
@@ -16,6 +16,10 @@
     from collections.abc import Iterable
     from pathlib import Path
 
+    from rich.progress import Progress as RichProgress
+    from rich.progress import ProgressColumn
+    from tqdm import tqdm as TqdmType  # noqa: N812
+
     from tensorwaves.interface import Estimator, Optimizer, ParameterValue
 
 
@@ -94,6 +98,116 @@ def on_function_call_end(
             callback.on_function_call_end(function_call, logs)
 
 
+class RichProgressBar(Callback):
+    """Display a `rich` progress bar during optimization.
+
+    Args:
+        *columns: The :ref:`columns <rich:columns>` to display in the progress bar. If
+            not provided, a default set of columns will be used.
+        **progress_kwargs: Keyword arguments forwarded to `rich.progress.Progress`.
+        total: The expected total number of function calls to be made during
+            optimization in order to get a time estimate.
+    """
+
+    def __init__(
+        self,
+        *columns: str | ProgressColumn,
+        total: int | None = None,
+        **progress_kwargs: Any,
+    ) -> None:
+        if columns:
+            self.__progress_columns = columns
+        else:
+            from rich.progress import (  # noqa: PLC0415
+                MofNCompleteColumn,
+                SpinnerColumn,
+                TextColumn,
+                TimeElapsedColumn,
+            )
+
+            self.__progress_columns = (
+                SpinnerColumn(),
+                TextColumn("[progress.description]{task.description}"),
+                MofNCompleteColumn(),
+                TimeElapsedColumn(),
+            )
+        self.__progress_kwargs = progress_kwargs
+        self.__progress: RichProgress | None = None
+        self.__task_id: Any = None
+        self.__total = total
+
+    def on_optimize_start(self, logs: dict[str, Any] | None = None) -> None:
+        from rich.progress import Progress  # noqa: PLC0415
+
+        self.__progress = Progress(
+            *self.__progress_columns,
+            **self.__progress_kwargs,
+        )
+        self.__progress.start()
+        self.__task_id = self.__progress.add_task("Optimizing", total=self.__total)
+
+    def on_optimize_end(self, logs: dict[str, Any] | None = None) -> None:
+        if self.__progress is not None:
+            self.__progress.stop()
+            self.__progress = None
+            self.__task_id = None
+
+    def on_iteration_end(
+        self, iteration: int, logs: dict[str, Any] | None = None
+    ) -> None:
+        pass
+
+    def on_function_call_end(
+        self, function_call: int, logs: dict[str, Any] | None = None
+    ) -> None:
+        if self.__progress is None or self.__task_id is None:
+            return
+        description = "Optimizing"
+        if logs is not None:
+            estimator_value = logs.get("estimator", {}).get("value")
+            if estimator_value is not None:
+                description = f"estimator={estimator_value:.6g}"
+        self.__progress.update(self.__task_id, description=description, advance=1)
+
+
+class TqdmProgressBar(Callback):
+    """Display a ``tqdm`` progress bar during optimization.
+
+    Args:
+        **tqdm_kwargs: Keyword arguments forwarded to `tqdm <https://tqdm.github.io/docs/tqdm>`_.
+    """
+
+    def __init__(self, **tqdm_kwargs: Any) -> None:
+        self.__tqdm_kwargs = tqdm_kwargs
+        self.__progress_bar: TqdmType | None = None
+
+    def on_optimize_start(self, logs: dict[str, Any] | None = None) -> None:
+        from tqdm.auto import tqdm  # noqa: PLC0415
+
+        self.__progress_bar = tqdm(**self.__tqdm_kwargs)
+
+    def on_optimize_end(self, logs: dict[str, Any] | None = None) -> None:
+        if self.__progress_bar is not None:
+            self.__progress_bar.close()
+            self.__progress_bar = None
+
+    def on_iteration_end(
+        self, iteration: int, logs: dict[str, Any] | None = None
+    ) -> None:
+        pass
+
+    def on_function_call_end(
+        self, function_call: int, logs: dict[str, Any] | None = None
+    ) -> None:
+        if self.__progress_bar is None:
+            return
+        if logs is not None:
+            estimator_value = logs.get("estimator", {}).get("value")
+            if estimator_value is not None:
+                self.__progress_bar.set_postfix({"estimator": estimator_value})
+        self.__progress_bar.update()
+
+
 class CSVSummary(Callback, Loadable):
     """Log fit parameters and the estimator value to a CSV file."""
 
diff --git a/src/tensorwaves/optimizer/minuit.py b/src/tensorwaves/optimizer/minuit.py
index cb0126c1..aa455980 100644
--- a/src/tensorwaves/optimizer/minuit.py
+++ b/src/tensorwaves/optimizer/minuit.py
@@ -8,7 +8,6 @@
 from typing import TYPE_CHECKING, Any
 
 import iminuit
-from tqdm.auto import tqdm
 
 from tensorwaves.interface import Estimator, FitResult, Optimizer, ParameterValue
 from tensorwaves.optimizer.callbacks import Callback, _create_log
@@ -63,7 +62,6 @@ def optimize(
         parameter_handler = ParameterFlattener(initial_parameters)
         flattened_parameters = parameter_handler.flatten(initial_parameters)
 
-        progress_bar = tqdm(disable=_LOGGER.level > logging.WARNING)
         n_function_calls = 0
 
         parameters = parameter_handler.unflatten(flattened_parameters)
@@ -88,8 +86,6 @@ def wrapped_function(pars: list) -> float:
             update_parameters(pars)
             parameters = parameter_handler.unflatten(flattened_parameters)
             estimator_value = float(estimator(parameters))
-            progress_bar.set_postfix({"estimator": estimator_value})
-            progress_bar.update()
             if self.__callback is not None:
                 self.__callback.on_function_call_end(
                     n_function_calls,
diff --git a/src/tensorwaves/optimizer/scipy.py b/src/tensorwaves/optimizer/scipy.py
index 6d53d68f..5d8c6fe9 100644
--- a/src/tensorwaves/optimizer/scipy.py
+++ b/src/tensorwaves/optimizer/scipy.py
@@ -7,8 +7,6 @@
 import time
 from typing import TYPE_CHECKING, Any
 
-from tqdm.auto import tqdm
-
 from tensorwaves.function._backend import raise_missing_module_error
 from tensorwaves.interface import Estimator, FitResult, Optimizer, ParameterValue
 from tensorwaves.optimizer.parameter import ParameterFlattener
@@ -54,7 +52,6 @@ def optimize(  # noqa: C901
         parameter_handler = ParameterFlattener(initial_parameters)
         flattened_parameters = parameter_handler.flatten(initial_parameters)
 
-        progress_bar = tqdm(disable=_LOGGER.level > logging.WARNING)
         n_function_calls = 0
         iterations = 0
         estimator_value = 0.0
@@ -88,8 +85,6 @@ def wrapped_function(pars: list) -> float:
             update_parameters(pars)
             parameters = parameter_handler.unflatten(flattened_parameters)
             estimator_value = estimator(parameters)
-            progress_bar.set_postfix({"estimator": estimator_value})
-            progress_bar.update()
             if self.__callback is not None:
                 self.__callback.on_function_call_end(
                     n_function_calls,
diff --git a/tests/test_estimator.py b/tests/test_estimator.py
index 0b17b09a..6f41f77f 100644
--- a/tests/test_estimator.py
+++ b/tests/test_estimator.py
@@ -103,7 +103,7 @@ def test_create_cached_function(backend):
     symbols: tuple[sp.Symbol, ...] = sp.symbols("a b c d x y")
     a, b, c, d, x, y = symbols
     expression = a * x + b * (c * x + d * y**2)
-    parameter_defaults = {a: -2.5, b: 1.4, c: 0.8, d: 3.7}
+    parameter_defaults: dict[sp.Basic, int | float] = {a: -2.5, b: 1.4, c: 0.8, d: 3.7}
 
     function = create_parametrized_function(expression, parameter_defaults, backend)
     cached_function, cache_transformer = create_cached_function(
diff --git a/uv.lock b/uv.lock
index 24073db7..4f01db17 100644
--- a/uv.lock
+++ b/uv.lock
@@ -7,12 +7,12 @@ resolution-markers = [
     "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'win32'",
     "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version < '3.11'",
 ]
@@ -293,11 +293,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2026.2.25"
+version = "2026.4.22"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/25/ee/6caf7a40c36a1220410afe15a1cc64993a1f864871f698c0f93acb72842a/certifi-2026.4.22.tar.gz", hash = "sha256:8d455352a37b71bf76a79caa83a3d6c25afee4a385d632127b6afb3963f1c580", size = 137077, upload-time = "2026-04-22T11:26:11.191Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" },
+    { url = "https://files.pythonhosted.org/packages/22/30/7cd8fdcdfbc5b869528b079bfb76dcdf6056b1a2097a662e5e8c04f42965/certifi-2026.4.22-py3-none-any.whl", hash = "sha256:3cb2210c8f88ba2318d29b0388d1023c8492ff72ecdde4ebdaddbb13a31b1c4a", size = 135707, upload-time = "2026-04-22T11:26:09.372Z" },
 ]
 
 [[package]]
@@ -489,14 +489,14 @@ wheels = [
 
 [[package]]
 name = "click"
-version = "8.3.2"
+version = "8.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/57/75/31212c6bf2503fdf920d87fee5d7a86a2e3bcf444984126f13d8e4016804/click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5", size = 302856, upload-time = "2026-04-03T19:14:45.118Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/bb/63/f9e1ea081ce35720d8b92acde70daaedace594dc93b693c869e0d5910718/click-8.3.3.tar.gz", hash = "sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2", size = 328061, upload-time = "2026-04-22T15:11:27.506Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e4/20/71885d8b97d4f3dde17b1fdb92dbd4908b00541c5a3379787137285f602e/click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d", size = 108379, upload-time = "2026-04-03T19:14:43.505Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/44/c1221527f6a71a01ec6fbad7fa78f1d50dfa02217385cf0fa3eec7087d59/click-8.3.3-py3-none-any.whl", hash = "sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613", size = 110502, upload-time = "2026-04-22T15:11:25.044Z" },
 ]
 
 [[package]]
@@ -606,12 +606,12 @@ resolution-markers = [
     "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'win32'",
     "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 dependencies = [
@@ -694,115 +694,115 @@ wheels = [
 
 [[package]]
 name = "coverage"
-version = "7.13.5"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/9d/e0/70553e3000e345daff267cec284ce4cbf3fc141b6da229ac52775b5428f1/coverage-7.13.5.tar.gz", hash = "sha256:c81f6515c4c40141f83f502b07bbfa5c240ba25bbe73da7b33f1e5b6120ff179", size = 915967, upload-time = "2026-03-17T10:33:18.341Z" }
-wheels = [
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     "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
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-    { name = "ipython", version = "9.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
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 [[package]]
@@ -4729,12 +4726,12 @@ resolution-markers = [
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     "python_full_version == '3.13.*' and sys_platform == 'win32'",
     "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
     "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
     "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
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@@ -4984,8 +4981,8 @@ dependencies = [
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-    { name = "keras", version = "3.14.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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     { name = "pyyaml" },
+    { name = "rich" },
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-    { name = "jaxlib", version = "0.9.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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-    { name = "ipython", version = "9.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
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@@ -5105,6 +5102,7 @@ dev = [
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     { name = "python-lsp-ruff" },
     { name = "python-lsp-server" },
+    { name = "rich", extra = ["jupyter"] },
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@@ -5134,6 +5132,7 @@ doc = [
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@@ -5293,6 +5293,7 @@ doc = [
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     { name = "pandas" },
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@@ -5318,6 +5319,7 @@ jupyter = [
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