Add pysad

[selimfirat]

Project

pysad

Checklist

• I read CONTRIBUTING.md - awesome-python is a shortlist, not a catalog
• One project per PR
• PR title format: Add project-name
• Entry format: - [pypi-name](https://github.com/owner/repo) - Description ending with period.
• Display name is the PyPI package name
• Placed in an existing use case (new sections and subcategories are maintainer-only)
• Meets all Quality Requirements: active, stable, documented, at least 1 month old

Which Tier

• Obvious choice
• Challenger

Explain: pysad covers anomaly detection on data streams, where each estimator updates and scores one sample at a time rather than fitting on a batch. It provides xStream, LODA, RS-Hash, Half-Space Trees, RRCF, IForestASD, KitNet, and others, plus streaming evaluators and score calibrators. Adoption evidence:

• about 30 public dependent repositories on GitHub
• 60+ citations (Google Scholar), including a 2023 ESWA comparison study of streaming anomaly detectors
• 6 releases in the last 16 months (v0.5.1, September 2026)

PyPI downloads are modest (about 430/month), and I'd rather state that upfront. I placed it under General because there is no anomaly-detection use case. If you'd prefer not to list it until one exists, I understand.

Displacement

Not applicable: General currently has 3 entries (cap 5).

Disclosure: I maintain pysad.

[Princesa82]

No sigas

[JinyangWang27]

@selimfirat Thanks for the candid PR. Streaming anomaly detection isn't a fit for Machine Learning / General, and entry PRs can't create a new subcategory. Closing per CONTRIBUTING.md.