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| Comment | ||||
|---|---|---|---|---|
| matplotlib | The classic among Python visualization libraries. | 5.9M | 7 | 24,855 |
| bokeh | For dynamic visualizations with full control. | 235K | 37 | 19,816 |
| plotly | For dynamic visualizations with few lines of code. | 1.8M | 11 | 18,718 |
| seaborn | For statistical data visualization. | 1.3M | 0 | 14,625 |
| altair | Bringing the Vega-Lite high-level "grammar of graphics" to Python. | 1.5M | 25 | 1,225 |
| holoviews | Abstracting Matplotlib and Bokeh. | 45K | 30 | 1,574 |
| plotnine | Like R’s ggplot2 but in Python. | 101K | 23 | 4,607 |
| datashader | For plotting large datasets. | 13K | 6 | 1,446 |
| colorcet | A collection of colormaps. | 56K | 4 | 368 |
| hvplot | An additional level of abstraction above Holoviews. | 25K | 5 | 1,042 |