Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 11:55 UTC

meta-pytorch / torchx

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

PythonCustom license★ 427 stars⑂ 155 forkssince May 2021View on GitHub ↗
#pytorch#machine-learning#kubernetes#slurm#distributed-training#pipelines#components#deep-learning#python#aws-batch#ray#airflow

meta-pytorch/torchx holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Security (58/100). It was last updated today. 3 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Meta PyTorchOrganization
1,389 followers58 public repossince Jun 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItorchxpoints to another repo — not scored0.7.0193,70617731 days agopytorchmachine-learning

Metrics by category

Vitality

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

78Good · 21% of overall

Development activity

95Exceptional
How it's scored
36/36Push recency — last push 0 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 159 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year159
human_commit_share—
days_since_last_push0
active_weeks_last_year45

Release discipline

52Moderate
How it's scored
27/27Ships releases — 15 releases published
0/36Release recency — latest release 731 days ago
19.8/27Release cadence — a release every ~111.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count15
latest_release_tagv0.7.0
releases_from_tagsno
days_since_latest_release731
mean_days_between_releases111.3
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?

76Good · 17% of overall

Popularity & adoption

67Good
How it's scored
42.7/60Stars — 427 stars
18.2/25Forks — 155 forks
6.5/15Watchers — 16 watchers
Inputs used
forks155
stars427
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

86Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

76Good · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.1/22.5Commit distribution — top contributor authored 29% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled99
top_contributor_share0.286

Issue & PR responsiveness

61Moderate
How it's scored
28.1/42Issue resolution — 67% of issues closed
12.6/30PR acceptance — 434/1,036 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 22/27 approved changesets -- score normalized to 8
Inputs used
merged_prs434
open_issues68
closed_issues137
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.668
closed_unmerged_prs602
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

92Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
22.6/25Owner reach — 1,389 followers of meta-pytorch
21.1/25Track record — 58 public repos, account ~4 yr old
Inputs used
followers1,389
owner_typeOrganization
is_verified—
owner_loginmeta-pytorch
public_repos58
account_age_days1,499
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-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_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pytorch.org/torchx
10/10Repository description
10/10Topics — 12 topics
0/10Wiki
Inputs used
topicspytorch, machine-learning, kubernetes, slurm, distributed-training, pipelines, components, deep-learning, python, aws-batch, ray, airflow
has_wikino
homepagehttps://pytorch.org/torchx
docs_sitehttps://pytorch.org/torchx
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

58Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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
6/7.5Code-Review — Found 22/27 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 21 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 39 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): 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.

75Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — .claude/CLAUDE.md
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.claude/CLAUDE.md
agent_instruction_max_bytes1,532
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

73Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/231 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes68,380
source_files_sampled231
oversized_source_files1

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

427GitHub stars
99contributors
159commits, last 12 months
0days since last push
15releases
3bus factor
68open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'torchx' points at a different repository (https://github.com/pytorch/torchx); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-07-18 11:55 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
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
8Code-ReviewFound 22/27 approved changesets -- score normalized to 8
10Contributorsproject has 21 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained22 commit(s) and 0 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
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities39 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIdocstring-parser>=0.8.1pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIdocker—pyproject.toml
PyPIfilelock—pyproject.toml
PyPIfsspec>=2023.10.0pyproject.toml
PyPItabulate—pyproject.toml
PyPItyping-extensions—pyproject.toml
All dependencies 237

Full resolved dependency set from the GitHub dependency graph: 7 direct and 230 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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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 v0.12.0 — full methodology · metrics wiki.

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