--- id: leather version: "0.4.1" license: MIT license_treatment: permissive maintenance: aging --- # leather — Python charting for 80% of humans. License: permissive · Maintenance: aging · Popularity: top 1,000 on PyPI ## Install pip install leather uv add leather poetry add leather ## Description .. 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:... ## AI interpretation — verify before relying Leather is a lightweight Python charting library for quick, no-frills data visualization. It generates charts without requiring perfect styling or extensive configuration. 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. [View on SkillFed](https://skillfed.io/packages/leather) · [View on PyPI](https://pypi.org/project/leather/)