Public recordGood
Software health reportschema 0.12.0 · metrics 1.13.0 · 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.
meta-pytorch/torchx holds a health index of 75 out of 100, placing it in the Good 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.
75
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
75
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
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
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | torchxpoints to another repo — not scored | 0.7.0 | 193,706 | 17 | 731 days ago | pytorchmachine-learning |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
78
Development activity
95Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 31.2/36 | Commit cadence — 45/52 weeks with commits |
| 18/18 | Commit volume — 159 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 159 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 45 |
Release discipline
52Moderate
How it's scored
| 27/27 | Ships releases — 15 releases published |
| 0/36 | Release recency — latest release 731 days ago |
| 19.8/27 | Release cadence — a release every ~111.3 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 15 |
| latest_release_tag | v0.7.0 |
| releases_from_tags | no |
| days_since_latest_release | 731 |
| mean_days_between_releases | 111.3 |
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?
76
Popularity & adoption
67Moderate
How it's scored
| 42.7/60 | Stars — 427 stars |
| 18.2/25 | Forks — 155 forks |
| 6.5/15 | Watchers — 16 watchers |
Inputs used
| forks | 155 |
| stars | 427 |
| watchers | 16 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
86Excellent
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
70
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 16.1/22.5 | Commit distribution — top contributor authored 29% of commits |
| 13.5/13.5 | Contributor breadth — 99 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 99 |
| top_contributor_share | 0.286 |
Issue & PR responsiveness
59Moderate
How it's scored
| 31.2/46.8 | Issue resolution — 67% of issues closed |
| 16/38.3 | PR acceptance — 434/1,036 decided PRs merged |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 22/27 approved changesets -- score normalized to 8 |
Inputs used
| merged_prs | 434 |
| open_issues | 68 |
| closed_issues | 137 |
| issue_closed_ratio | 0.668 |
| closed_unmerged_prs | 602 |
Ownership & stewardship
74Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 22.6/25 | Owner reach — 1,389 followers of meta-pytorch |
| 21.1/25 | Track record — 58 public repos, account ~4 yr old |
Inputs used
| followers | 1,389 |
| owner_type | Organization |
| is_verified | — |
| owner_login | meta-pytorch |
| public_repos | 58 |
| account_age_days | 1,499 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 10 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pytorch.org/torchx |
| 10/10 | Repository description |
| 10/10 | Topics — 12 topics |
| 0/10 | Wiki |
Inputs used
| topics | pytorch, machine-learning, kubernetes, slurm, distributed-training, pipelines, components, deep-learning, python, aws-batch, ray, airflow |
| has_wiki | no |
| homepage | https://pytorch.org/torchx |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
58
Security posture
58Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 22/27 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 21 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 4/5 | SAST — SAST tool is not run on all commits -- score normalized to 8 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 39 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5.8 |
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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
66
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — .claude/CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | .claude/CLAUDE.md |
| agent_instruction_max_bytes | 1,532 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile, lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54.8/55 | Manageable file sizes — 1/231 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 68,380 |
| source_files_sampled | 231 |
| oversized_source_files | 1 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 22/27 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 21 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 8 | SAST | SAST tool is not run on all commits -- score normalized to 8 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 39 existing vulnerabilities detected |
Direct dependencies 7
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | docstring-parser | >=0.8.1 | pyproject.toml |
| PyPI | pyyaml | — | pyproject.toml |
| PyPI | docker | — | pyproject.toml |
| PyPI | filelock | — | pyproject.toml |
| PyPI | fsspec | >=2023.10.0 | pyproject.toml |
| PyPI | tabulate | — | pyproject.toml |
| PyPI | typing-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.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | docker | 7.1.0 | direct |
| PyPI | docstring-parser | 0.17.0 | direct |
| PyPI | filelock | 3.20.3 | direct |
| PyPI | fsspec | 2026.2.0 | direct |
| PyPI | pyyaml | 6.0.3 | direct |
| PyPI | tabulate | 0.9.0 | direct |
| PyPI | typing-extensions | 4.15.0 | direct |
| PyPI | absl-py | 2.3.1 | indirect |
| PyPI | aiobotocore | 3.1.2 | indirect |
| PyPI | aiohappyeyeballs | 2.6.1 | indirect |
| PyPI | aiohttp | 3.14.1 | indirect |
| PyPI | aioitertools | 0.13.0 | indirect |
| PyPI | aiosignal | 1.4.0 | indirect |
| PyPI | alembic | 1.18.4 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | async-timeout | 5.0.1 | indirect |
| PyPI | attrs | 23.2.0 | indirect |
| PyPI | ax-platform | 0.2.3 | indirect |
| PyPI | bcrypt | 5.0.0 | indirect |
| PyPI | black | 25.11.0 | indirect |
| PyPI | blinker | 1.9.0 | indirect |
| PyPI | boto3 | 1.42.42 | indirect |
| PyPI | botocore | 1.42.42 | indirect |
| PyPI | botorch | 0.6.0 | indirect |
| PyPI | cachetools | 6.2.4 | indirect |
| PyPI | captum | 0.8.0 | indirect |
| PyPI | certifi | 2026.1.4 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.4 | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | 7.13.1 | indirect |
| PyPI | cryptography | 46.0.7 | indirect |
| PyPI | cuda-bindings | 12.9.4 | indirect |
| PyPI | cuda-pathfinder | 1.3.3 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | databricks-sdk | 0.80.0 | indirect |
| PyPI | dataclasses-json | 0.5.7 | indirect |
| PyPI | decorator | 5.2.1 | indirect |
| PyPI | enum-compat | 0.0.3 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastapi | 0.137.1 | indirect |
| PyPI | flask | 3.1.2 | indirect |
| PyPI | flask-cors | 6.0.2 | indirect |
| PyPI | fonttools | 4.61.1 | indirect |
| PyPI | frozenlist | 1.8.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitpython | 3.1.46 | indirect |
| PyPI | google-auth | 2.47.0 | indirect |
| PyPI | google-auth-oauthlib | 1.0.0 | indirect |
| PyPI | gpytorch | 1.15.1 | indirect |
| PyPI | graphene | 3.4.3 | indirect |
| PyPI | graphql-core | 3.2.7 | indirect |
| PyPI | graphql-relay | 3.2.0 | indirect |
| PyPI | greenlet | 3.3.1 | indirect |
| PyPI | grpcio | 1.76.0 | indirect |
| PyPI | gunicorn | 23.0.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | huey | 2.6.0 | indirect |
| PyPI | hydra-core | 1.3.2 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | importlib-metadata | 6.11.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | invoke | 2.2.1 | indirect |
| PyPI | ipython | 8.38.0 | indirect |
| PyPI | ipython | 9.9.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | itsdangerous | 2.2.0 | indirect |
| PyPI | jaxtyping | 0.3.6 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | jinja2 | — | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | kiwisolver | 1.4.9 | indirect |
| PyPI | kubernetes | 25.3.0 | indirect |
| PyPI | libcst | 1.8.6 | indirect |
| PyPI | lightning-utilities | 0.15.2 | indirect |
| PyPI | linear-operator | 0.6 | indirect |
| PyPI | lintrunner | 0.13.0 | indirect |
| PyPI | lintrunner-adapters | 0.13.0 | indirect |
| PyPI | mako | 1.3.12 | indirect |
| PyPI | markdown | 3.10.1 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | marshmallow | 3.26.2 | indirect |
| PyPI | marshmallow-enum | 1.5.1 | indirect |
| PyPI | matplotlib | 3.10.8 | indirect |
| PyPI | matplotlib-inline | 0.2.1 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mlflow | 3.13.0 | indirect |
| PyPI | mlflow-skinny | 3.13.0 | indirect |
| PyPI | mlflow-tracing | 3.13.0 | indirect |
| PyPI | mock | 4.0.3 | indirect |
| PyPI | moto | 5.0.28 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | multidict | 6.7.0 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | narwhals | 2.15.0 | indirect |
| PyPI | nest-asyncio | 1.6.0 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | numpy | 1.26.4 | indirect |
| PyPI | nvidia-cublas-cu12 | 12.8.4.1 | indirect |
| PyPI | nvidia-cuda-cupti-cu12 | 12.8.90 | indirect |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.8.93 | indirect |
| PyPI | nvidia-cuda-runtime-cu12 | 12.8.90 | indirect |
| PyPI | nvidia-cudnn-cu12 | 9.10.2.21 | indirect |
| PyPI | nvidia-cufft-cu12 | 11.3.3.83 | indirect |
| PyPI | nvidia-cufile-cu12 | 1.13.1.3 | indirect |
| PyPI | nvidia-curand-cu12 | 10.3.9.90 | indirect |
| PyPI | nvidia-cusolver-cu12 | 11.7.3.90 | indirect |
| PyPI | nvidia-cusparse-cu12 | 12.5.8.93 | indirect |
| PyPI | nvidia-cusparselt-cu12 | 0.7.1 | indirect |
| PyPI | nvidia-nccl-cu12 | 2.27.5 | indirect |
| PyPI | nvidia-nvjitlink-cu12 | 12.8.93 | indirect |
| PyPI | nvidia-nvshmem-cu12 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx-cu12 | 12.8.90 | indirect |
| PyPI | oauthlib | 3.3.1 | indirect |
| PyPI | omegaconf | 2.2.3 | indirect |
| PyPI | opentelemetry-api | 1.39.1 | indirect |
| PyPI | opentelemetry-proto | 1.39.1 | indirect |
| PyPI | opentelemetry-sdk | 1.39.1 | indirect |
| PyPI | opentelemetry-semantic-conventions | 0.60b1 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | paramiko | 4.0.0 | indirect |
| PyPI | parso | 0.8.5 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | pillow | 12.1.0 | indirect |
| PyPI | pip | 25.3 | indirect |
| PyPI | platformdirs | 4.5.1 | indirect |
| PyPI | plotly | 6.5.2 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | prettytable | 3.17.0 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | propcache | 0.4.1 | indirect |
| PyPI | protobuf | 5.29.5 | indirect |
| PyPI | psutil | 7.2.1 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pyarrow | 24.0.0 | indirect |
| PyPI | pyasn1 | 0.6.3 | indirect |
| PyPI | pyasn1-modules | 0.4.2 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic | 2.12.5 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pynacl | 1.6.2 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pyre-check | 0.9.25 | indirect |
| PyPI | pyre-extensions | 0.0.32 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-dotenv | 1.2.1 | indirect |
| PyPI | pytorch-lightning | 2.5.0 | indirect |
| PyPI | pytorch-sphinx-theme | — | indirect |
| PyPI | pytz | 2025.2 | indirect |
| PyPI | pywin32 | 311 | indirect |
| PyPI | pyyaml-ft | 8.0.0 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | requests-oauthlib | 2.0.0 | indirect |
| PyPI | responses | 0.25.8 | indirect |
| PyPI | rich | 13.9.4 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | rsa | 4.9.1 | indirect |
| PyPI | ruff-api | 0.2.0 | indirect |
| PyPI | s3fs | 2026.2.0 | indirect |
| PyPI | s3transfer | 0.16.0 | indirect |
| PyPI | sagemaker-core | 2.4.1 | indirect |
| PyPI | sagemaker-mlflow | 0.2.0 | indirect |
| PyPI | sagemaker-train | 1.4.1 | indirect |
| PyPI | schema | 0.7.8 | indirect |
| PyPI | scikit-learn | 1.7.2 | indirect |
| PyPI | scikit-learn | 1.8.0 | indirect |
| PyPI | scipy | 1.15.3 | indirect |
| PyPI | scipy | 1.17.0 | indirect |
| PyPI | setuptools | 80.10.1 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | skops | 0.14.0 | indirect |
| PyPI | smdebug-rulesconfig | 1.0.1 | indirect |
| PyPI | smmap | 5.0.2 | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinxcontrib-katex | — | indirect |
| PyPI | sqlalchemy | 2.0.46 | indirect |
| PyPI | sqlparse | 0.5.5 | indirect |
| PyPI | stack-data | 0.6.3 | indirect |
| PyPI | starlette | 1.3.1 | indirect |
| PyPI | stdlibs | 2025.10.28 | indirect |
| PyPI | sympy | 1.14.0 | indirect |
| PyPI | tblib | 3.2.2 | indirect |
| PyPI | tensorboard | 2.14.0 | indirect |
| PyPI | tensorboard-data-server | 0.7.2 | indirect |
| PyPI | testslide | 2.7.0 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | tomli-w | 1.2.0 | indirect |
| PyPI | torch | 2.10.0 | indirect |
| PyPI | torch-model-archiver | 0.12.0 | indirect |
| PyPI | torchmetrics | 1.6.3 | indirect |
| PyPI | torchserve | 0.12.0 | indirect |
| PyPI | torchtext | 0.18.0 | indirect |
| PyPI | torchvision | 0.25.0 | indirect |
| PyPI | tqdm | 4.67.1 | indirect |
| PyPI | traitlets | 5.14.3 | indirect |
| PyPI | triton | 3.6.0 | indirect |
| PyPI | ts | 0.5.1 | indirect |
| PyPI | typeguard | 4.4.4 | indirect |
| PyPI | typing-inspect | 0.9.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2025.3 | indirect |
| PyPI | ufmt | 2.9.0 | indirect |
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},
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{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"pypi package 'torchx' points at a different repository (https://github.com/pytorch/torchx); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-18T11:55:34.530562Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/meta-pytorch/torchx.svg",
"full_name": "meta-pytorch/torchx",
"license_state": "custom",
"license_spdx": null
}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 v1.13.0, schema v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.