Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 18:30 UTC

google / flax

Flax is a neural network library for JAX that is designed for flexibility.

Jupyter Notebook · PythonApache-2.0★ 7,304 stars⑂ 829 forkssince Jan 2020View on GitHub ↗

google/flax holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (21/100). It was last updated 2 days ago. 6 contributors account for most of its recent work.

95
overall / 100
Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

95
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

GoogleOrganization · verified domain
77,499 followers2,897 public repossince Jan 2012

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIflax0.12.94,371,092668 days ago
PyPIflaxlib0.0.1a1661709 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume639 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year639
human_commit_share1
days_since_last_push2
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases64 releases published
36/36Release recencylatest release 8 days ago
27/27Release cadencea release every ~36.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count64
latest_release_tagv0.12.9
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases36.3

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

95Exceptional · 17% of overall
How it's scored
60/60Stars7,304 stars
24.3/25Forks829 forks
10.6/15Watchers81 watchers
Inputs used
forks829
stars7,304
watchers81
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads4,371,092 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesflax
dependents
ecosystemspypi
total_downloads
monthly_downloads4,371,092
unverified_packages_excludedflaxlib
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

89Excellent · 23% of overall
How it's scored
48.6/54Bus factor6 contributor(s) cover half of all commits
19.6/22.5Commit distributiontop contributor authored 13% of commits
13.5/13.5Contributor breadth99 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor6
contributors_sampled99
top_contributor_share0.128
How it's scored
33.6/42Issue resolution80% of issues closed
22.5/30PR acceptance2,424/3,231 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs2,424
open_issues230
closed_issues917
prs_merged_7d0
prs_decided_7d1
prs_merged_30d2
prs_decided_30d4
issue_closed_ratio0.799
closed_unmerged_prs807
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach77,499 followers of google
25/25Track record2,897 public repos, account ~14 yr old
Inputs used
followers77,499
owner_typeOrganization
is_verifiedyes
owner_logingoogle
public_repos2,897
account_age_days5,335

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on pypi
35/35Publish recencylatest publish 8 days ago
20/20Version history66 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesflax, flaxlib
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff], [tool.yapf])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://flax.readthedocs.io
10/10Repository description
10/10Topics1 topics
10/10Wiki
Inputs used
topicsjax
has_wikiyes
homepagehttps://flax.readthedocs.io
docs_sitehttps://flax.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesCargo.lock, uv.lock
manifestsflaxlib_src/Cargo.toml, flaxlib_src/pyproject.toml, pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages28
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:flax@0.12.9 runtime dependency closure — what installing the published package pulls in — 28 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

67Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.2/40Legible commit history51 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.51
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile, docs_nnx/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff], [tool.yapf])
11/11Static type checkingflax/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile, docs_nnx/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsflax/py.typed
agent_commit_share0
toolchain_manifestsflaxlib_src/Cargo.toml
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codeJupyter Notebook with type-check config (flax/py.typed)
53.3/55Manageable file sizes11/354 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes233,046
source_files_sampled354
oversized_source_files11
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

7,304GitHub stars
99contributors
639commits, last 12 months
2days since last push
64releases
6bus factor
230open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch crates package 'flaxlib' from its registry
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 829 ⇿
0Stars
829Forks
64Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

02004006008001,000809122020-012023-052026-08
Major 0Minor 10Patch 52

Each point covers 7 days.

Direct dependencies 11
RegistryPackageVersion constraintManifest
crates.iopyo30.21.2flaxlib_src/Cargo.toml
PyPInumpy>=1.23.2pyproject.toml
PyPIjax>=0.11.1pyproject.toml
PyPImsgpackpyproject.toml
PyPIoptaxpyproject.toml
PyPIorbax-checkpointpyproject.toml
PyPItensorstorepyproject.toml
PyPIrich>=11.1pyproject.toml
PyPItyping_extensions>=4.2pyproject.toml
PyPIPyYAML>=5.4.1pyproject.toml
PyPItreescope>=0.1.7pyproject.toml
All dependencies 112

Full resolved dependency set from the GitHub dependency graph: 17 direct and 95 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.iopyo30.21.2direct
PyPIjaxdirect
PyPIjax0.3.4direct
PyPIjax0.4.13direct
PyPInumpydirect
PyPInumpy1.22.0direct
PyPInumpy1.23.5direct
PyPInumpy1.24.3direct
PyPIoptaxdirect
PyPIoptax0.1.0direct
PyPIoptax0.1.3direct
PyPIoptax0.1.5direct
PyPIorbax-checkpointdirect
PyPIpyyamldirect
PyPIrichdirect
PyPItreescopedirect
PyPItyping-extensionsdirect
crates.ioautocfg1.3.0indirect
crates.iobitflags2.6.0indirect
crates.iocfg-if1.0.0indirect
crates.ioheck0.4.1indirect
crates.ioindoc2.0.5indirect
crates.iolibc0.2.158indirect
crates.iolock_api0.4.12indirect
crates.iomemoffset0.9.1indirect
crates.ioonce_cell1.20.0indirect
crates.ioparking_lot0.12.3indirect
crates.ioparking_lot_core0.9.10indirect
crates.ioportable-atomic1.7.0indirect
crates.ioproc-macro21.0.86indirect
crates.iopyo3-build-config0.21.2indirect
crates.iopyo3-ffi0.21.2indirect
crates.iopyo3-macros0.21.2indirect
crates.iopyo3-macros-backend0.21.2indirect
crates.ioquote1.0.37indirect
crates.ioredox_syscall0.5.7indirect
crates.ioscopeguard1.2.0indirect
crates.iosmallvec1.13.2indirect
crates.iosyn2.0.77indirect
crates.iotarget-lexicon0.12.16indirect
crates.iounicode-ident1.0.13indirect
crates.iounindent0.2.3indirect
crates.iowindows-targets0.52.6indirect
crates.iowindows_aarch64_gnullvm0.52.6indirect
crates.iowindows_aarch64_msvc0.52.6indirect
crates.iowindows_i686_gnu0.52.6indirect
crates.iowindows_i686_gnullvm0.52.6indirect
crates.iowindows_i686_msvc0.52.6indirect
crates.iowindows_x86_64_gnu0.52.6indirect
crates.iowindows_x86_64_gnullvm0.52.6indirect
crates.iowindows_x86_64_msvc0.52.6indirect
PyPIabsl-pyindirect
PyPIabsl-py1.0.0indirect
PyPIabsl-py1.4.0indirect
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PyPIcloudpickleindirect
PyPIclu0.0.12indirect
PyPIclu0.0.6indirect
PyPIclu0.0.9indirect
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PyPIflaxindirect
PyPIflax0.3.6indirect
PyPIflax0.4.1indirect
PyPIflax0.6.0indirect
PyPIflax0.6.11indirect
PyPIflax0.6.5indirect
PyPIflax0.6.9indirect
PyPIgoogle-benchmarkindirect
PyPIgoogle-cloud-storageindirect
PyPIgrainindirect
PyPIgrain0.2.16indirect
PyPIgym0.18.3indirect
PyPIipywidgetsindirect
PyPIjaxlib0.3.2+cuda11.cudnn82indirect
PyPIjaxlib0.4.13+cuda11.cudnn82indirect
PyPIjaxtypingindirect
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PyPIjraph0.0.2.dev0indirect
PyPIjupytext1.13.8indirect
PyPIkagglehubindirect
PyPIkerasindirect
PyPImatplotlibindirect
PyPIml-collectionsindirect
PyPIml-collections0.1.0indirect
PyPIml-collections0.1.1indirect
PyPImlcroissantindirect
PyPInanobindindirect
PyPIopencv-python4.5.4.60indirect
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PyPIpillow10.2.0indirect
PyPIpre-commitindirect
PyPIpygmentsindirect
PyPIscikit-build-coreindirect
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PyPIsentencepiece0.1.96indirect
PyPIsentencepiece0.1.99indirect
PyPIsentencepiece0.2.0indirect
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PyPIsphinx6.2.1indirect
PyPItensorflow2.11.1indirect
PyPItensorflow2.12.0indirect
PyPItensorflow2.13.0indirect
PyPItensorflow-cpuindirect
PyPItensorflow-datasetsindirect
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Dependency advisories 0

Installing pypi:flax@0.12.9 pulls in 28 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.