babelplot 2025.15

A Meta Plotting Library That Speaks Several Backends

Documentation

The documentation is available at https://src.koda.cnrs.fr/eric.debreuve/babelplot/-/wikis/home.

Installation

This project is published on the Python Package Index (PyPI) at: https://pypi.org/project/babelplot/. It should be installable from Python distribution platforms or Integrated Development Environments (IDEs). Otherwise, it can be installed from a command console using pip:

	For all users (after acquiring administrative rights)	For the current user (no administrative rights required)
Installation	pip install babelplot	pip install --user babelplot
Update	pip install --upgrade babelplot	pip install --user --upgrade babelplot

Prior to using BabelPlot, a (backend) plotting library must be installed (one of the optional dependencies below). If in doubt, Matplotlib should be installed.

Note

The BabelPlot project is currently in alpha stage: API and runtime stabilities are both unreliable.

Dependencies

The development relies on several packages:

• Mandatory: color_spec_changer, numpy, scikit-image

• Optional: bokeh, matplotlib, plotly, vedo

The mandatory dependencies, if any, are installed automatically by pip, if they are not already, as part of the installation of BabelPlot. Python distribution platforms or Integrated Development Environments (IDEs) should also take care of this. The optional dependencies, if any, must be installed independently by following the related instructions, for added functionalities of BabelPlot.

Acknowledgments

The project is developed with PyCharm Community.

The code is formatted by Black, The Uncompromising Code Formatter.

The imports are ordered by isort… your imports, so you don’t have to.