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prune: sweep Data Visualization to the shortlist cap

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Per ADR-0001. No restructure needed: Plotting caps to matplotlib,
plotly, seaborn plus altair as Challenger (listed last per the
Challenger-ordering rule); Specialized (cartopy, graphify, pygraphviz)
and Dashboards and Apps (gradio, streamlit) already fit.

Removed (downloads are PyPI last-month via pypistats, 2026-08-14/15):

- bokeh (8.4M/month): Plotting at cap; interactive plotting job covered
  by plotly
- plotnine (3.1M/month): below the shortlist bar
- vispy (1.4M/month): below the shortlist bar
- pyqtgraph (1.0M/month): below the shortlist bar
- bqplot (381K/month): below the shortlist bar
- pygal: legacy; downloads fetch failed
- ultraplot (3.9K/month): no adoption

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-08-15 14:39:53 +08:00
co-authored by Claude
parent 6cd5ffc5a3
commit 5488d08db1
1 changed files with 1 additions and 8 deletions
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@@ -520,17 +520,10 @@ _Libraries for validating data. Used for forms in many cases._
_Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization)._
- Plotting
- [altair](https://github.com/vega/altair) - Declarative statistical visualization library for Python.
- [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
- [bqplot](https://github.com/bqplot/bqplot) - Interactive Plotting Library for the Jupyter Notebook.
- [matplotlib](https://github.com/matplotlib/matplotlib) - A Python 2D plotting library.
- [plotly](https://github.com/plotly/plotly.py) - Interactive graphing library for Python.
- [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2.
- [pygal](https://github.com/Kozea/pygal) - A Python SVG Charts Creator.
- [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
- [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib.
- [ultraplot](https://github.com/ultraplot/UltraPlot) - Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting.
- [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
- [altair](https://github.com/vega/altair) - Declarative statistical visualization library for Python.
- Specialized
- [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
- [graphify](https://github.com/safishamsi/graphify) - Turn any folder of code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph.