seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
- Version
- 1.2
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.8+ and seaborn 0.13.2-compatible dependencies. Install with uv pip install seaborn==0.13.2; use seaborn[stats]==0.13.2 when advanced regression or clustering examples need scipy/statsmodels.
Pinned to revision de66e10cd0c8, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
- Write
- Edit
- Bash
Files
- skills/seaborn/SKILL.md
- skills/seaborn/references/examples.md
- skills/seaborn/references/function_reference.md
- skills/seaborn/references/grids_and_levels.md
- skills/seaborn/references/objects_interface.md
- skills/seaborn/references/palettes_and_theming.md
- skills/seaborn/references/patterns_and_troubleshooting.md
- skills/seaborn/references/plotting_functions.md
Every link opens the file at its source, pinned to the revision this page describes.