{"package":"numpydantic","ecosystem":"pypi","latest_version":"1.8.1","description":"Type and shape validation and serialization for arbitrary array types in pydantic models","license":"MIT","license_risk":"permissive","commercial_use_notes":"Permissive: commercial closed-source use OK; preserve the copyright notice.","homepage":"https://pypi.org/project/numpydantic/","repository":"","downloads_weekly":0,"health":{"score":62,"risk":"moderate","breakdown":{"maintenance":25,"popularity":0,"security":25,"maturity":12,"community":0},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.8.1","total_count":33,"recent":["1.4.1","1.5.0","1.5.1","1.5.2","1.5.3","1.6.0","1.6.1","1.6.2","1.6.3","1.6.4","1.6.5","1.6.6","1.6.7","1.6.8","1.6.9","1.6.10","1.6.11","1.7.0","1.8.0","1.8.1"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":0,"first_published":null,"last_published":"2026-04-14T00:01:17.388863Z","dependencies_count":29,"dependencies":["pydantic>=2.7.0","numpy>=1.24.0","typing-extensions>=4.11.0; python_version < \"3.11\"","dask>=2024.4.0; extra == \"dask\"","h5py>=3.10.0; extra == \"hdf5\"","opencv-python>=4.9.0.80; extra == \"video\"","zarr<3.0.0,>=2.17.2; extra == \"zarr\"","numpydantic[dask,hdf5,video,zarr]; extra == \"arrays\"","numpydantic[arrays]; extra == \"tests\"","pytest>=7.4.0; extra == \"tests\"","pytest-depends<2.0.0,>=1.0.1; extra == \"tests\"","coverage>=6.1.1; extra == \"tests\"","pytest-cov<5.0.0,>=4.1.0; extra == \"tests\"","coveralls<4.0.0,>=3.3.1; extra == \"tests\"","mypy>=1.17.1; extra == \"tests\"","pyright>=1.1.408; extra == \"tests\"","numpydantic[arrays]; extra == \"docs\"","sphinx<8.0.0,>=7.2.6; extra == \"docs\"","furo>=2024.1.29; extra == \"docs\"","myst-parser<3.0.0,>=2.0.0; extra == \"docs\"","autodoc-pydantic<3.0.0,>=2.0.1; extra == \"docs\"","sphinx-design<1.0.0,>=0.5.0; extra == \"docs\"","sphinxcontrib-mermaid>=0.9.2; extra == \"docs\"","myst-nb>=1.1.1; extra == \"docs\"","rich>=13.8.1; extra == \"docs\"","numpydantic[docs,tests]; extra == \"dev\"","sphinx-autobuild>=2021.3.14; extra == \"dev\"","black>=24.1.1; extra == \"dev\"","ruff<1.0.0,>=0.2.0; extra == \"dev\""]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"safe_to_use","issues":[],"use_version":"1.8.1","version_hint":null,"summary":"numpydantic@1.8.1 is safe to use (health: 62/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":773,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false},"version_history_summary":{"total_versions":20,"first_release_age_days":null,"last_release_days_ago":15,"avg_days_between_releases":null,"release_velocity":"active"}}