Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-29 15:03 UTC

google / orbax

Orbax provides common checkpointing and persistence utilities for JAX users

PythonApache-2.0★ 534 stars⑂ 101 forkssince May 2022View on GitHub ↗

google/orbax holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on AI Readiness (51/100). It was last updated today. 3 contributors account for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

GoogleOrganization · verified domain
77,584 followers2,898 public repossince Jan 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIorbax-export0.0.8355,8909345 days agojax-machine-learningserializationexport
PyPIorbax-checkpoint0.12.45,526,33611116 days agojax-machine-learningcheckpointtraining

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 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume990 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year990
human_commit_share1
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases80 releases published
36/36Release recencylatest release 17 days ago
27/27Release cadencea release every ~19.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count80
latest_release_tagv0.12.3
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases19.4
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

84Excellent · 17% of overall
How it's scored
44.2/60Stars534 stars
16.7/25Forks101 forks
5/15Watchers9 watchers
Inputs used
forks101
stars534
watchers9
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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesreadthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads5,882,226 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesorbax-export, orbax-checkpoint
dependents
ecosystemspypi
total_downloads
monthly_downloads5,882,226
unverified_packages_excluded
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?

84Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
14.8/22.5Commit distributiontop contributor authored 34% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 18 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.342
How it's scored
32.6/42Issue resolution78% of issues closed
19.5/30PR acceptance1,927/2,960 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 5/26 approved changesets -- score normalized to 1
Inputs used
merged_prs1,927
open_issues39
closed_issues136
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d4
issue_closed_ratio0.777
closed_unmerged_prs1,033
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach77,584 followers of google
25/25Track record2,898 public repos, account ~14 yr old
Inputs used
followers77,584
owner_typeOrganization
is_verifiedyes
owner_logingoogle
public_repos2,898
account_age_days5,337

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on pypi
35/35Publish recencylatest publish 16 days ago
20/20Version history111 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesorbax-export, orbax-checkpoint
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows8 workflow(s)
24/24Tests present
16/16Linter config.pylintrc, pyproject.toml ([tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://orbax.readthedocs.io/
10/10Repository description
10/10Topics3 topics
0/10Wiki
Inputs used
topicsflax, jax, checkpoint
has_wikino
homepagehttps://orbax.readthedocs.io/
docs_sitehttps://orbax.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.5/2.5CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 5/26 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 18 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3.5/5SASTSAST tool is not run on all commits -- score normalized to 7
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. 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_packages29
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:orbax-export@0.0.8 runtime dependency closure — what installing the published package pulls in — 29 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.

51Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
12.3/40Legible commit history23 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.23
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc, pyproject.toml ([tool.isort])
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.1/55Manageable file sizes9/579 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes117,191
source_files_sampled579
oversized_source_files9
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)checkpoint/orbax/checkpoint/experimental/tiering_service/proto/tiering_service.proto, export/orbax/export/bfloat16_toolkit/converter_options.proto, export/orbax/export/bfloat16_toolkit/converter_options_v2.proto
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_filescheckpoint/orbax/checkpoint/experimental/tiering_service/proto/tiering_service.proto, export/orbax/export/bfloat16_toolkit/converter_options.proto, export/orbax/export/bfloat16_toolkit/converter_options_v2.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

534GitHub stars
100contributors
990commits, last 12 months
0days since last push
80releases
3bus factor
39open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 101 ⇿
0Stars
101Forks
79Releases

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.

0204060801009922022-052024-062026-07
Major 1Minor 7Patch 71

Each point covers 4 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-29 15:02 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/26 approved changesets -- score normalized to 1
10Contributorsproject has 18 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool is not run on all commits -- score normalized to 7
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
PyPIabsl-pycheckpoint/pyproject.toml
PyPIetilscheckpoint/pyproject.toml
PyPItyping_extensionscheckpoint/pyproject.toml
PyPImsgpackcheckpoint/pyproject.toml
PyPIjax>= 0.6.0checkpoint/pyproject.toml
PyPInumpycheckpoint/pyproject.toml
PyPIprometheus-client>= 0.20.0checkpoint/pyproject.toml
PyPIpyyamlcheckpoint/pyproject.toml
PyPItensorstore>= 0.1.84checkpoint/pyproject.toml
PyPIaiofilescheckpoint/pyproject.toml
PyPIprotobufcheckpoint/pyproject.toml
PyPIhumanizecheckpoint/pyproject.toml
PyPIsimplejson>= 3.16.0checkpoint/pyproject.toml
PyPIpsutilcheckpoint/pyproject.toml
PyPIuvloopcheckpoint/pyproject.toml
PyPInest_asynciocheckpoint/pyproject.toml
PyPIabsl-pyexport/pyproject.toml
PyPIdataclasses-jsonexport/pyproject.toml
PyPIetilsexport/pyproject.toml
PyPIjax>= 0.4.34export/pyproject.toml
PyPIjaxlibexport/pyproject.toml
PyPIjaxtypingexport/pyproject.toml
PyPInumpyexport/pyproject.toml
PyPIprotobufexport/pyproject.toml
PyPIorbax-checkpoint>=0.9.0export/pyproject.toml
All dependencies 27

Full resolved dependency set from the GitHub dependency graph: 6 direct and 21 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjaxdirect
PyPIorbax-checkpointdirect
PyPIprometheus-clientdirect
PyPIprotobufdirect
PyPIsimplejsondirect
PyPItensorstoredirect
PyPIcached-property2.0.1indirect
PyPIdocutils0.21.2indirect
PyPIflit-coreindirect
PyPIgrpcio-toolsindirect
PyPIimportlib-resources6.5.2indirect
PyPIipykernel6.29.5indirect
PyPIipython9.0.1indirect
PyPImyst-nb1.2.0indirect
PyPImyst-parser4.0.1indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-autodoc-typehints1.11.1indirect
PyPIsphinx-book-theme1.1.4indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex2.6.2indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-katex0.9.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemyindirect
PyPItensorflow2.20.0rc0indirect
Dependency advisories 0

Installing pypi:orbax-export@0.0.8 pulls in 29 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.