diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 71aa4ae5..caf38d16 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -12,7 +12,7 @@ repos:
       - id: setup-cfg-fmt
 
   - repo: https://github.com/psf/black
-    rev: 23.3.0
+    rev: 23.7.0
     hooks:
       - id: black
 
@@ -27,9 +27,9 @@ repos:
      - id: mypy
        additional_dependencies: [numpy, matplotlib]
 
-  - repo: https://github.com/charliermarsh/ruff-pre-commit
+  - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.0.276'
+    rev: 'v0.0.280'
     hooks:
       - id: ruff
 
diff --git a/docs/changelog.rst b/docs/changelog.rst
index a31a0d3a..103cd80e 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -1,5 +1,17 @@
 Changelog
 =========
+1.0.2
+-----
+Bug fixes
+~~~~~~~~~
+- A full dataset is no longer read into memory when using ``HistogramWidget``.
+  Only the current slice is loaded.
+- Fixed compatibility with napari 0.4.18.
+
+Changes
+~~~~~~~
+- Histogram bin limits are now caclualted from the slice being histogrammed, and
+  not the whole dataset. This is as a result of the above bug fix.
 
 1.0.1
 -----
diff --git a/setup.cfg b/setup.cfg
index dfd52347..229b5777 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -28,7 +28,7 @@ project_urls =
 packages = find:
 install_requires =
     matplotlib
-    napari<0.4.18
+    napari
     numpy
     tinycss2
 python_requires = >=3.8
@@ -47,7 +47,7 @@ napari.manifest =
 
 [options.extras_require]
 docs =
-    napari[all]
+    napari[all]==0.4.17
     numpydoc
     pydata-sphinx-theme
     qtgallery
@@ -55,7 +55,7 @@ docs =
     sphinx-automodapi
     sphinx-gallery
 testing =
-    napari[pyqt6-experimental]
+    napari[pyqt6-experimental]>=0.4.18
     pooch
     pyqt6
     pytest
diff --git a/src/napari_matplotlib/histogram.py b/src/napari_matplotlib/histogram.py
index 39ad41a3..ab098f38 100644
--- a/src/napari_matplotlib/histogram.py
+++ b/src/napari_matplotlib/histogram.py
@@ -33,7 +33,6 @@ def draw(self) -> None:
         Clear the axes and histogram the currently selected layer/slice.
         """
         layer = self.layers[0]
-        bins = np.linspace(np.min(layer.data), np.max(layer.data), 100)
 
         if layer.data.ndim - layer.rgb == 3:
             # 3D data, can be single channel or RGB
@@ -41,6 +40,12 @@ def draw(self) -> None:
             self.axes.set_title(f"z={self.current_z}")
         else:
             data = layer.data
+        # Read data into memory if it's a dask array
+        data = np.asarray(data)
+
+        # Important to calculate bins after slicing 3D data, to avoid reading
+        # whole cube into memory.
+        bins = np.linspace(np.min(data), np.max(data), 100)
 
         if layer.rgb:
             # Histogram RGB channels independently
diff --git a/src/napari_matplotlib/tests/baseline/test_custom_theme.png b/src/napari_matplotlib/tests/baseline/test_custom_theme.png
index 65c43a49..c3858522 100644
Binary files a/src/napari_matplotlib/tests/baseline/test_custom_theme.png and b/src/napari_matplotlib/tests/baseline/test_custom_theme.png differ
diff --git a/src/napari_matplotlib/tests/baseline/test_slice_2D.png b/src/napari_matplotlib/tests/baseline/test_slice_2D.png
index 5b73091c..639f25b8 100644
Binary files a/src/napari_matplotlib/tests/baseline/test_slice_2D.png and b/src/napari_matplotlib/tests/baseline/test_slice_2D.png differ
diff --git a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png
index 3b550666..f96b5354 100644
Binary files a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png and b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png differ
diff --git a/src/napari_matplotlib/tests/test_theme.py b/src/napari_matplotlib/tests/test_theme.py
index a3642f8f..2a340c89 100644
--- a/src/napari_matplotlib/tests/test_theme.py
+++ b/src/napari_matplotlib/tests/test_theme.py
@@ -37,9 +37,11 @@ def _mock_up_theme() -> None:
     https://napari.org/stable/gallery/new_theme.html
     """
     blue_theme = napari.utils.theme.get_theme("dark", False)
-    blue_theme.name = "blue"
+    blue_theme.label = "blue"
     blue_theme.background = "#4169e1"  # my favourite shade of blue
-    napari.utils.theme.register_theme("blue", blue_theme)
+    napari.utils.theme.register_theme(
+        "blue", blue_theme, source="napari-mpl-tests"
+    )
 
 
 def test_theme_background_check(make_napari_viewer):