fix(deps): relax bokeh upper pin, update custom TS usage

conda/environments/all_cuda-129_arch-aarch64.yaml

@@ -5,7 +5,7 @@ channels:
 - rapidsai-nightly
 - conda-forge
 dependencies:
-- bokeh>=3.1,<=3.6.3
+- bokeh>=3.1
 - bokeh_sampledata
 - cuda-version=12.9
 - cudf==25.12.*,>=0.0.0a0

conda/environments/all_cuda-129_arch-x86_64.yaml

@@ -5,7 +5,7 @@ channels:
 - rapidsai-nightly
 - conda-forge
 dependencies:
-- bokeh>=3.1,<=3.6.3
+- bokeh>=3.1
 - bokeh_sampledata
 - cuda-version=12.9
 - cudf==25.12.*,>=0.0.0a0

conda/environments/all_cuda-130_arch-aarch64.yaml

@@ -5,7 +5,7 @@ channels:
 - rapidsai-nightly
 - conda-forge
 dependencies:
-- bokeh>=3.1,<=3.6.3
+- bokeh>=3.1
 - bokeh_sampledata
 - cuda-version=13.0
 - cudf==25.12.*,>=0.0.0a0

conda/environments/all_cuda-130_arch-x86_64.yaml

@@ -5,7 +5,7 @@ channels:
 - rapidsai-nightly
 - conda-forge
 dependencies:
-- bokeh>=3.1,<=3.6.3
+- bokeh>=3.1
 - bokeh_sampledata
 - cuda-version=13.0
 - cudf==25.12.*,>=0.0.0a0

dependencies.yaml

@@ -133,7 +133,7 @@ dependencies:
     common:
       - output_types: [conda, requirements]
         packages:
-          - &bokeh bokeh>=3.1,<=3.6.3
+          - &bokeh bokeh>=3.1
           - &bokeh_sampledata bokeh_sampledata
           - &holoviews holoviews>=1.16.0,<1.21.0a0
           - ipykernel
@@ -194,7 +194,7 @@ dependencies:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
-          - bokeh>=3.1,<=3.6.3
+          - bokeh>=3.1
           - datashader>=0.15
           - geopandas>=0.11.0
           - shapely<2.1.0

python/cuxfilter/assets/cudf_utils.py

@@ -1,12 +1,13 @@
 # SPDX-FileCopyrightText: Copyright (c) 2020-2025, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
-import dask_cudf
 import dask.dataframe as dd
-from ..charts.constants import CUDF_DATETIME_TYPES
+import dask_cudf
 
 
 def get_min_max(df, col_name):
+    from cuxfilter.charts.constants import CUDF_DATETIME_TYPES
+
     min, max = df[col_name].min(), df[col_name].max()
     if isinstance(df, dask_cudf.DataFrame):
         if df[col_name].dtype in CUDF_DATETIME_TYPES:

python/cuxfilter/charts/bokeh/bokeh.py

@@ -2,6 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 from argparse import ArgumentError
+
 from .plots import Bar, Histogram
 
 
@@ -19,48 +20,44 @@ def bar(
     **library_specific_params,
 ):
     """
+    Create a bar chart or histogram using Bokeh backend.
+
     Parameters
     ----------
-
-    x: str
+    x : str
         x-axis column name from the gpu dataframe
-    y: str, default None
+    y : str
         y-axis column name from the gpu dataframe
-    data_points: int,  default None
+    data_points : int
         when None, it means no custom number of bins are provided and
         data_points will default to df[self.x].nunique()
-
-    add_interaction: {True, False},  default True
-
-    aggregate_fn: {'count', 'mean'},  default 'count'
-
-    step_size: int,  default None
-
-    step_size_type: {int, float},  default int
-
-    title: str,
-
+    add_interaction : {True, False}
+        whether to add selection interaction to the chart
+    aggregate_fn : {'count', 'mean'}
+        aggregation function to apply when y is provided
+    step_size : int
+        step size for binning data
+    step_size_type : {int, float}
+        type of step size for binning
+    title : str
         chart title
-
-    autoscaling: bool,
-
-        set whether chart scale is updated automatically for
-        y_axis when data updates
-
-    unselected_alpha: float, default 0.1
-
-    **library_specific_params:
+    autoscaling : bool
+        set whether chart scale is updated automatically for y_axis when data
+        updates
+    unselected_alpha : float
+        alpha value for unselected data points
+    **library_specific_params
         additional library specific keyword arguments to be passed to
         the function, a list of all the supported arguments can be found by
-        running
-        ```python
+        running:
+
             >>> import holoviews as hv
             >>> hv.help(hv.Bars)
-        ````
 
     Returns
     -------
-    A bokeh chart object of type vbar
+    Bar or Histogram
+        A bokeh chart object of type vbar (Bar) or histogram (Histogram)
     """
 
     if y is not None:

python/cuxfilter/charts/bokeh/plots/histogram.py

@@ -2,10 +2,11 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import holoviews as hv
+import panel as pn
 import param
-from cuxfilter.charts.core.aggregate import BaseAggregateChart
+
 from cuxfilter.assets.numba_kernels import calc_value_counts
-import panel as pn
+from cuxfilter.charts.core.aggregate import BaseAggregateChart
 
 
 class InteractiveHistogram(param.Parameterized):
@@ -88,14 +89,7 @@ def view(self):
 
 
 class Histogram(BaseAggregateChart):
-    """
-    Description:
-    """
-
     def generate_chart(self, **kwargs):
-        """
-        returns a histogram chart
-        """
         self.chart = InteractiveHistogram(
             x=self.x,
             source_df=self.calculate_source(),
@@ -106,14 +100,17 @@ def generate_chart(self, **kwargs):
 
     def calculate_source(self, data=None):
         """
-        Description:
-            Calculate the binned counts for the histogram for the x column
-        -------------------------------------------
-        Input:
-            data = cudf.DataFrame
-        -------------------------------------------
-        Output:
-            cudf.DataFrame
+        Calculate the binned counts for the histogram for the x column.
+
+        Parameters
+        ----------
+        data : cudf.DataFrame, optional
+            Input dataframe. If None, uses self.source.
+
+        Returns
+        -------
+        cudf.DataFrame
+            DataFrame with binned counts for the x column.
         """
         data = self.source if data is None else data
         return calc_value_counts(
@@ -125,7 +122,7 @@ def calculate_source(self, data=None):
 
     def reload_chart(self, data):
         """
-        reload chart with new data
+        Reload chart with new data
         """
         self.chart.update_data(self.calculate_source(data))
 
@@ -138,7 +135,7 @@ def view(self, width=800, height=400):
 
     def apply_theme(self, theme):
         """
-        apply thematic changes to the chart based on the theme
+        Apply thematic changes to the chart based on the theme
         """
         if "fill_color" not in self.library_specific_params:
             self.library_specific_params["fill_color"] = theme.chart_color

python/cuxfilter/charts/datashader/custom_extensions/graph_inspect_widget.py

@@ -45,8 +45,6 @@
     this.define<CustomInspectTool.Props>(({Boolean}) => ({
       _active: [ Boolean, true ]
     }))
-
-    this.register_alias("customInspect", () => new CustomInspectTool())
   }
 
 }

python/cuxfilter/dashboard.py

@@ -1,22 +1,23 @@
 # SPDX-FileCopyrightText: Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+import os
+import urllib
+import warnings
+from collections import Counter
 from typing import Dict, Union
+
 import bokeh.embed.util as u
 import cudf
 import dask_cudf
 import panel as pn
-from panel.io.server import get_server
 from bokeh.embed import server_document
-import os
-import urllib
-import warnings
-from collections import Counter
+from panel.io.server import get_server
 
+from cuxfilter.assets import cudf_utils, get_open_port
 from cuxfilter.charts.core import BaseChart, BaseWidget, ViewDataFrame
-from cuxfilter.layouts import single_feature
 from cuxfilter.charts.panel_widgets import data_size_indicator
-from cuxfilter.assets import get_open_port, cudf_utils
+from cuxfilter.layouts import single_feature
 from cuxfilter.themes import default
 
 DEFAULT_NOTEBOOK_URL = "http://localhost:8888"
@@ -69,6 +70,18 @@ def _check_if_duplicates(charts):
 class DashBoard:
     """
     A cuxfilter GPU DashBoard object.
+
+    Methods
+    -------
+    .. autosummary::
+       :toctree: generated/
+
+       add_charts
+       app
+       export
+       show
+       stop
+
     Examples
     --------
 
@@ -493,10 +506,8 @@ def show(
         ----------
 
         notebook_url: str, optional, default localhost:8888
-            - URL where you want to run the dashboard as a web-app,
-            including the port number.
-
-            - Can use localhost instead of ip if running locally.
+            URL where you want to run the dashboard as a web-app, including the
+            port number. Can use localhost instead of ip if running locally.
 
         port: int, optional
             Has to be an open port

python/cuxfilter/dataframe.py

@@ -1,15 +1,16 @@
 # SPDX-FileCopyrightText: Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+from typing import Type
+
 import cudf
 import dask_cudf
 import pyarrow as pa
-from typing import Type
 
+from cuxfilter.assets import notebook_assets
 from cuxfilter.dashboard import DashBoard
 from cuxfilter.layouts import single_feature
 from cuxfilter.themes import default
-from cuxfilter.assets import notebook_assets
 
 
 def read_arrow(source):
@@ -22,7 +23,17 @@ def read_arrow(source):
 # class DataFrame:
 class DataFrame:
     """
-    A cuxfilter GPU DataFrame object
+    A cuxfilter GPU DataFrame object.
+
+    Methods
+    -------
+    .. autosummary::
+       :toctree: generated/
+
+       from_arrow
+       from_dataframe
+       load_graph
+       dashboard
     """
 
     data: Type[cudf.DataFrame] = None

python/pyproject.toml

@@ -19,7 +19,7 @@ authors = [
 license = { text = "Apache-2.0" }
 requires-python = ">=3.10"
 dependencies = [
-    "bokeh>=3.1,<=3.6.3",
+    "bokeh>=3.1",
     "cudf==25.12.*,>=0.0.0a0",
     "cupy-cuda13x>=13.6.0",
     "dask-cudf==25.12.*,>=0.0.0a0",