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docs: judge stability by the project, not its PyPI classifier
CONTRIBUTING's Stable requirement read as "not alpha/beta", so about 40 production-used entries (fastapi, uvicorn, keras, statsmodels, numba, and others) failed it on their PyPI Development Status classifier alone, and each needed an audit-log exception. Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -8,7 +8,7 @@ All submissions must satisfy **ALL** of these:
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1. **Serves Python Developers**: Python developers use it in their Python work. Implementation language and packaging are irrelevant — uv and ty are written in Rust, and agent skill packs are markdown, yet all belong; a pure-Python project nobody uses in Python work does not.
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2. **Active**: Commits within the last 12 months
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3. **Stable**: Production-ready, not alpha/beta/experimental
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3. **Stable**: Production-ready, not alpha/beta/experimental. A PyPI "Development Status" classifier alone does not decide this; judge by releases, documentation, and production use.
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4. **Documented**: Clear README with examples and use cases
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5. **Established**: Repository at least 1 month old
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