diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 60a938110..37e1769f7 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -31,7 +31,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13", "3.14"]
         platform: [ubuntu-latest, macos-latest, windows-latest]
 
     steps:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 8186ce787..f53e20a3b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -34,4 +34,4 @@ repos:
       - id: mypy
         files: "^src/"
         additional_dependencies:
-          - numpy>=2.2
+          - numpy>=2.4.0
diff --git a/pyproject.toml b/pyproject.toml
index 5cb275034..9bf16b37b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,6 +21,7 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
 ]
 dynamic = ["version"]
 dependencies = ["numpy"]
@@ -34,7 +35,7 @@ test_thirdparty = [
     "colorspacious",
     "colour",
     "matplotlib",
-    "napari>=0.5.0",
+    "napari>=0.5.0; python_version<'3.14'",
     "PyQt6==6.8.1",
     "numba",
     "numba<0.61; python_version<'3.12'",
@@ -150,10 +151,9 @@ filterwarnings = [
     "ignore::DeprecationWarning:Pyinstaller",
     "ignore::DeprecationWarning:pkg_resources",
     "ignore::DeprecationWarning:altgraph",
-    "ignore:'oneOf' deprecated:DeprecationWarning:matplotlib",
-    "ignore:'parseString' deprecated:DeprecationWarning:matplotlib",
-    "ignore:'resetCache' deprecated:DeprecationWarning:matplotlib",
-    "ignore:'enablePackrat' deprecated:DeprecationWarning:matplotlib",
+    "ignore::DeprecationWarning:pyparsing",
+    "ignore::DeprecationWarning:matplotlib._mathtext",
+    "ignore::DeprecationWarning:matplotlib._fontconfig_pattern",
 ]
 
 # https://mypy.readthedocs.io/en/stable/config_file.html
diff --git a/src/cmap/_color.py b/src/cmap/_color.py
index 56cde019b..4eb3b2a17 100644
--- a/src/cmap/_color.py
+++ b/src/cmap/_color.py
@@ -603,7 +603,7 @@ def __getitem__(self, key: int) -> float:
     def __iter__(self) -> Iterator[float]:
         return iter(self._rgba)
 
-    def __array__(self, dtype: npt.DTypeLike = None) -> np.ndarray:
+    def __array__(self, dtype: npt.DTypeLike | None = None) -> np.ndarray:
         return np.asarray(self._rgba, dtype=dtype)
 
     @property
diff --git a/src/cmap/_colormap.py b/src/cmap/_colormap.py
index ba4712891..748742ddc 100644
--- a/src/cmap/_colormap.py
+++ b/src/cmap/_colormap.py
@@ -1006,7 +1006,7 @@ def __reversed__(self) -> Iterator[ColorStop]:
             # reverse the colors, but not the positions
             yield ColorStop(1 - pos, Color(rgba))
 
-    def __array__(self, dtype: npt.DTypeLike = None) -> np.ndarray:
+    def __array__(self, dtype: npt.DTypeLike | None = None) -> np.ndarray:
         """Return (N, 5) array, N rows of (position, r, g, b, a)."""
         return self._stops if dtype is None else self._stops.astype(dtype)
 
@@ -1522,5 +1522,4 @@ def _wrap_shift_color_stops(data: np.ndarray, shift_amount: float) -> np.ndarray
     out[:, 0] += shift_amount
     out[:, 0] %= 1
     # sort the array by the first column
-    out = out[out[:, 0].argsort()]
-    return out  # type: ignore[no-any-return]
+    return out[out[:, 0].argsort()]
diff --git a/src/cmap/data/glasbey/_glasbey.py b/src/cmap/data/glasbey/_glasbey.py
index 2eef99f13..f8adfd389 100644
--- a/src/cmap/data/glasbey/_glasbey.py
+++ b/src/cmap/data/glasbey/_glasbey.py
@@ -2,7 +2,7 @@
 # see __init__ and LICENSE_GLASBEY
 from __future__ import annotations
 
-from typing import Literal
+from typing import Literal, cast
 
 import numpy as np
 
@@ -185,4 +185,5 @@ def create_palette(
 
 def _get_rgb_palette(cam02ucs_palette: np.ndarray) -> np.ndarray:
     raw_rgb_palette = _cspace_convert(cam02ucs_palette, "CAM02-UCS", "sRGB1")
-    return np.clip(raw_rgb_palette, 0.0, 1.0)
+    out = np.clip(raw_rgb_palette, 0.0, 1.0)
+    return cast("np.ndarray", out)