Visualize and compare data in a scalable way and a beautiful style.

Example Example

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This package is a wrapper around matplotlib.

Advantages of the package: scalability, style and user-friendly way of managing variables and a stunning example gallery.

  1. First idea: default style is already presentation-ready and/or publication-ready (with no effort).

  2. Second idea: separate the histogram creation from its plotting. This allows to easily manage histogram objects (defined in the boost_histogram package) and plot large amount of variables and data really fast.

  3. Third idea: visualize a lot of variables easily with a variable manager. Really easy to modify the plotting information and make multiple plots of the same variable with different settings.

  4. Fourth idea: detailed and user-friendly documentation including a marvelous example gallery.

2D histogram with projections

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Credits

Author: Cyrille Praz

GitHub Statistics

Data verified by PyPI on Jul 27, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD License

Requires

Python >=3.10

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