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PyPI now supports marking projects as archived. Project owners can now archive their project to let users know that the project is not expected to receive any more updates. Project archival is a single piece in a larger supply-chain security puzzle: by exposing archival statuses, PyPI enables downstream consumers to make more…

✨ Huzzah! This is very welcome news indeed!

Produce Debian packages from Python packages.

Learn how to securely upload Python packages to PyPI from GitLab CI/CD pipelines using a “Trusted Publisher” (and without API tokens). Continuously test the release process with TestPyPI on every push. Use GitLab (deploy) environments as an additional...

This project makes it easy to analyze the Python ecosystem by providing of all the code ever published to PyPI via git, parquet datasets with file metadata, and a set of tools to help analyze the data.

Thanks to the power of git the contents of PyPI takes up only 439.4 GB on disk, and thanks to tools like libcst every Python file can be analysed on a consumer-grade laptop in a few hours.