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flax

Googlegithub.com/google/flax

Flax: A neural network library for JAX designed for flexibility

quality64

Updated 4 h ago · first seen 11 Sept 2026

lib_01M29ABZ2PVEZ111WNVS47MDKQ

Version
0.12.9
T2 · 4 h ago
Released
18 Aug 2026
T2 · 4 h ago
License
Apache Software License
T2 · 4 h ago

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14 claims · 14 properties

Licenselicense1

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Apache Software LicensecurrentcurrentPyPI public package metadataT2mediumdeterministic

Repositoryrepository_url1

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https://github.com/google/flaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Descriptiondescription1

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Flax: A neural network library for JAX designed for flexibilitycurrentcurrentPyPI public package metadataT2mediumdeterministic

Homepagehomepage1

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https://github.com/google/flaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Latest releaselatest_release_at1

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18 Aug 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Latest versionlatest_version1

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0.12.9currentcurrentPyPI public package metadataT2mediumdeterministic

Releasesmetric.releases1

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66currentcurrentPyPI public package metadataT2mediumdeterministic

PyPIpypi1

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flaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi licensepypi_license1

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Apache Software LicensecurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi release atpypi_release_at1

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18 Aug 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi urlpypi_url1

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https://pypi.org/project/flax/currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi versionpypi_version1

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0.12.9currentcurrentPyPI public package metadataT2mediumdeterministic

Python classifierspython_classifiers1

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Programming Language :: Python :: 3.12currentcurrentPyPI public package metadataT2mediumdeterministic

Requires pythonrequires_python1

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>=3.12currentcurrentPyPI public package metadataT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →