Sunsetting cuxfilter after RAPIDS Release v26.06#786
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gforsyth
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May 22, 2026
bdice
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May 22, 2026
| | `cuxfilter.DataFrame` | Load and transform data directly with `cudf.DataFrame`; convert only at explicit visualization boundaries when a library requires CPU data. | | ||
| | `dashboard([...])` and preset layouts | Compose the view with Panel, Dash, Streamlit, or another maintained dashboard framework. | | ||
| | Charts, widgets, and linked filters | Use HoloViews/hvPlot/Datashader with `link_selections`, or framework-native callback/state patterns. | | ||
| | Graph and geospatial examples | Use cuGraph or cuSpatial for GPU-side analytics, then visualize with Datashader, HoloViews, PyDeck, Bokeh, or Plotly. | |
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cuSpatial is not maintained. What should we recommend instead?
bdice
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May 22, 2026
| ## Continued GPU visual analytics support | ||
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| RAPIDS continues to support GPU-accelerated data preparation and analytics | ||
| through projects such as cuDF, cuGraph, cuSpatial, and related libraries. The |
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| through projects such as cuDF, cuGraph, cuSpatial, and related libraries. The | |
| through projects such as cuDF, cuGraph, and related libraries. The |
Co-authored-by: Gil Forsyth <gforsyth@users.noreply.github.com>
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Sunsetting cuxfilter after RAPIDS Release v26.06