leather

Python charting for 80% of humans.

leather Permissive license MIT AGING v0.4.1 released 2025-12-15

Install

leather on PyPI

pip

pip install leather

uv

uv add leather

poetry

poetry add leather

Package facts

License	MIT (permissive)
Python support	not specified
Install friction	low — pure-Python wheel
Runtime dependencies	none
Maintenance	aging — 241 days since the last release
First released	2016-05-20
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: leather-0.4.1-py3-none-any.whl

Development Status :: 3 - AlphaFramework :: IPythonIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Multimedia :: GraphicsTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Python Modules

About leather

from the package's own PyPI description — quoted content, verbatim

.. image:: https://github.com/wireservice/leather/workflows/CI/badge.svg :target: https://github.com/wireservice/leather/actions :alt: Build status

.. image:: https://coveralls.io/repos/wireservice/leather/badge.svg?branch=master :target: https://coveralls.io/r/wireservice/leather :alt: Coverage status

.. image:: https://img.shields.io/pypi/dw/leather.svg :target: https://pypi.python.org/pypi/leather :alt: PyPI downloads

.. image:: https://img.shields.io/pypi/v/leather.svg :target: https://pypi.python.org/pypi/leather :alt: Version

.. image:: https://img.shields.io/pypi/l/leather.svg :target: https://pypi.python.org/pypi/leather :alt: License

.. image:: https://img.shields.io/pypi/pyversions/leather.svg :target: https://pypi.python.org/pypi/leather :alt: Support Python versions

Leather is the Python charting library for those who need charts now and don't care if they're perfect.

Leather isn't picky. It's rough. It gets dirty. It looks sexy just hanging on the back of a chair. Leather doesn't need your accessories. Leather is how Snake Plissken would make charts.

Get it?

Important links:

Documentation:...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Leather is a lightweight Python charting library for quick, no-frills data visualization. It generates charts without requiring perfect styling or extensive configuration.

Installation is frictionless—the package is pure Python with no runtime dependencies and ships as a wheel. However, the project shows aging maintenance signals: the last release was 241 days ago and the development status is marked Alpha, suggesting limited active support.

Leather is licensed under MIT (permissive), meaning you can use, modify, and distribute it freely in both open-source and commercial projects with minimal restrictions.

Usage

pip install leather
import leather
chart = leather.Chart('My Chart')
chart.to_svg('chart.svg')

Verdict: Leather is a zero-dependency charting library ideal for rapid prototyping and simple visualizations. Its permissive MIT license and low install friction make it accessible, but the aging maintenance status (241 days since last release, Alpha classification) and lack of active development signal suggest it may not receive timely updates or bug fixes. Best suited for throwaway scripts or internal tools rather than production systems.

Needs verification

Whether the project is actively maintained or has been superseded by newer charting libraries
Real-world performance and output quality compared to contemporary alternatives
Whether Python version support extends beyond 3.10–3.14 despite no explicit requires_python constraint

simple python charting libraryquick data visualizationlightweight chart generationpython plotting without dependenciesfast chart creationminimal charting toolpython charts for prototyping