Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 10:29 UTC

google / torchax

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

PythonApache-2.0★ 231 stars⑂ 36 forkssince Oct 2025View on GitHub ↗
KindLibraryhow this is determined
#ai#interoperability#jax#machine-learning#pytorch#tpu

google/torchax holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Sustainability & Governance (80/100) and lowest on AI Readiness (39/100). It was last updated 16 days ago. 2 contributors account for most of its recent work.

83
overall / 100
Excellent

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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

GoogleOrganization
75,674 followers2,885 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
PyPItorchax0.0.13116,38325831 days ago

Metrics by category

Vitality

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

73Good · 21% of overall

Development activity

69Good
How it's scored
28.8/36Push recency — last push 16 days ago
17.3/36Commit cadence — 25/52 weeks with commits
16.8/18Commit volume — 73 commits in the last year
6/10OpenSSF Scorecard: Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year73
human_commit_share—
days_since_last_push16
active_weeks_last_year25

Release discipline

80Excellent
How it's scored
16.2/27Ships releases — 5 version tags (no GitHub releases)
36/36Release recency — latest release 33 days ago
19.8/27Release cadence — a release every ~55.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv0.0.13
releases_from_tagsyes
days_since_latest_release33
mean_days_between_releases55.2
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?

72Good · 17% of overall

Popularity & adoption

54Moderate
How it's scored
38.3/60Stars — 231 stars
12.9/25Forks — 36 forks
2.7/15Watchers — 4 watchers
Inputs used
forks36
stars231
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

84Excellent
How it's scored
67.5/80Monthly downloads — 116,383 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestorchax
dependents—
ecosystemspypi
total_downloads—
monthly_downloads116,383
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?

80Excellent · 23% of overall

Maintainer resilience (bus factor)

57Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.1/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 21 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled21
top_contributor_share0.329

Issue & PR responsiveness

70Good
How it's scored
18.3/42Issue resolution — 44% of issues closed
27.5/30PR acceptance — 67/73 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs67
open_issues13
closed_issues10
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.435
closed_unmerged_prs6
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 75,674 followers of google
25/25Track record — 2,885 public repos, account ~14 yr old
Inputs used
followers75,674
owner_typeOrganization
is_verified—
owner_logingoogle
public_repos2,885
account_age_days5,296
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 31 days ago
20/20Version history — 258 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestorchax
ecosystemspypi
any_deprecatedno
min_days_since_publish31

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://google.github.io/torchax/
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsai, interoperability, jax, machine-learning, pytorch, tpu
has_wikino
homepagehttps://google.github.io/torchax/
docs_sitehttps://google.github.io/torchax/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

51Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
4.5/7.5Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

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.

39Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

39Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.5/55Manageable file sizes — 2/75 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes167,762
source_files_sampled75
oversized_source_files2

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
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

231GitHub stars
21contributors
73commits, last 12 months
16days since last push
5releases
2bus factor
13open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-07-19 10:28 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
All dependencies 25

Full resolved dependency set from the GitHub dependency graph: 0 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIabsl-py2.2.2indirect
PyPIdatasets—indirect
PyPIexpecttest0.3.0indirect
PyPIflax0.10.6indirect
PyPIimmutabledict4.2.1indirect
PyPIjax0.7.2indirect
PyPIjupyter—indirect
PyPImatplotlib—indirect
PyPInbconvert—indirect
PyPIoptax—indirect
PyPIoptax0.2.4indirect
PyPIpandas—indirect
PyPIpytest—indirect
PyPIpytest8.3.5indirect
PyPIpytest-reraise—indirect
PyPIpytest-xdist—indirect
PyPIruff—indirect
PyPIsentencepiece—indirect
PyPItensorboard—indirect
PyPItermcolor—indirect
PyPItiktoken—indirect
PyPItorch2.8.0indirect
PyPItorch2.8.0+cpuindirect
PyPItorchvision—indirect
PyPItqdm—indirect
Raw JSON report machine-readable

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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 v0.15.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.