Public recordExcellent
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 00:44 UTC
onnx / onnx
Open standard for machine learning interoperability
onnx/onnx holds a health index of 95 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (100/100) and lowest on AI Readiness (78/100). It was last updated today. 7 contributors account for most of its recent work.
95
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.
95
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
Open Neural Network ExchangeOrganization
2,695 followers31 public repossince Sep 2017
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 |
|---|---|---|---|---|---|
| PyPI | onnx | 1.22.0 | - | 51 | 31 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
96
Development activity
99Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 34.6/36 | Commit cadence — 50/52 weeks with commits |
| 18/18 | Commit volume — 634 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 634 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 50 |
Release discipline
92Excellent
How it's scored
| 27/27 | Ships releases — 38 releases published |
| 36/36 | Release recency — latest release 31 days ago |
| 19.8/27 | Release cadence — a release every ~83.7 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 38 |
| latest_release_tag | v1.22.0 |
| releases_from_tags | no |
| days_since_latest_release | 31 |
| mean_days_between_releases | 83.7 |
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?
96
Popularity & adoption
100Excellent
How it's scored
| 60/60 | Stars — 21,160 stars |
| 25/25 | Forks — 3,973 forks |
| 14.6/15 | Watchers — 422 watchers |
Inputs used
| forks | 3,973 |
| stars | 21,160 |
| watchers | 422 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 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?
90
Maintainer resilience (bus factor)
95Excellent
How it's scored
| 51.3/54 | Bus factor — 7 contributor(s) cover half of all commits |
| 20/22.5 | Commit distribution — top contributor authored 11% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 32 contributing companies or organizations |
Inputs used
| bus_factor | 7 |
| contributors_sampled | 100 |
| top_contributor_share | 0.11 |
Issue & PR responsiveness
90Excellent
How it's scored
| 44/46.8 | Issue resolution — 94% of issues closed |
| 31/38.3 | PR acceptance — 3,798/4,681 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 3,798 |
| open_issues | 187 |
| closed_issues | 2,970 |
| issue_closed_ratio | 0.941 |
| closed_unmerged_prs | 883 |
Ownership & stewardship
78Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 24.7/25 | Owner reach — 2,695 followers of onnx |
| 23/25 | Track record — 31 public repos, account ~8 yr old |
Inputs used
| followers | 2,695 |
| owner_type | Organization |
| is_verified | — |
| owner_login | onnx |
| public_repos | 31 |
| account_age_days | 3,236 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 31 days ago |
| 20/20 | Version history — 51 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | onnx |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 31 |
Engineering Quality
Are baseline engineering and documentation practices in place?
100
Engineering practices
100Excellent
How it's scored
| 24/24 | CI workflows — 22 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 6.4/6.4 | .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 | yes |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://onnx.ai/ |
| 10/10 | Repository description |
| 10/10 | Topics — 13 topics |
| 10/10 | Wiki |
Inputs used
| topics | deep-learning, deep-neural-networks, neural-network, onnx, pytorch, tensorflow, keras, scikit-learn, ml, machine-learning, dnn, ai, artificial-intelligence |
| has_wiki | yes |
| homepage | https://onnx.ai/ |
| 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?
95
Security posture
95Excellent
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 6/7.5 | 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 |
| 1.8/2.5 | CII-Best-Practices — badge detected: Silver |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 32 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 9.5 |
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.
78
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — .github/copilot-instructions.md, .github/instructions/onnx-defs.instructions.md, AGENTS.md, 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 | .github/copilot-instructions.md, .github/instructions/onnx-defs.instructions.md, AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 4,829 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — docs/docsgen/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — onnx/py.typed |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/docsgen/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | onnx/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (onnx/py.typed) |
| 53.5/55 | Manageable file sizes — 20/717 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 481,960 |
| source_files_sampled | 717 |
| oversized_source_files | 20 |
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — onnx/onnx-data.in.proto, onnx/onnx-data.proto, onnx/onnx-ml.proto, onnx/onnx-operators-ml.proto, onnx/onnx-operators.in.proto, onnx/onnx-operators.proto, onnx/onnx.in.proto, onnx/onnx.proto |
| 0/20 | MCP server |
| 40/40 | Runnable examples — sample |
Inputs used
| example_dirs | sample |
| has_mcp_signal | no |
| api_schema_files | onnx/onnx-data.in.proto, onnx/onnx-data.proto, onnx/onnx-ml.proto, onnx/onnx-operators-ml.proto, onnx/onnx-operators.in.proto, onnx/onnx-operators.proto, onnx/onnx.in.proto, onnx/onnx.proto |
Key facts
21,160GitHub stars
100contributors
634commits, last 12 months
0days since last push
38releases
7bus factor
187open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 9.5 / 10
9.5aggregate
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 |
| 8 | 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 |
| 7 | CII-Best-Practices | badge detected: Silver |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 32 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.23.2 | pyproject.toml |
| PyPI | protobuf | >=6.31.1 | pyproject.toml |
| PyPI | typing_extensions | >=4.7.1 | pyproject.toml |
| PyPI | ml_dtypes | >=0.5.4 | pyproject.toml |
All dependencies 24
Full resolved dependency set from the GitHub dependency graph: 7 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | ml-dtypes | — | direct |
| PyPI | numpy | — | direct |
| PyPI | numpy | 2.3.2 | direct |
| PyPI | protobuf | — | direct |
| PyPI | protobuf | 6.31.1 | direct |
| PyPI | protobuf | 6.33.6 | direct |
| PyPI | typing-extensions | — | direct |
| PyPI | abi3audit | — | indirect |
| PyPI | build | — | indirect |
| PyPI | check-wheel-contents | — | indirect |
| PyPI | clang-format | 22.1.5 | indirect |
| PyPI | editorconfig-checker | 3.6.1 | indirect |
| PyPI | lintrunner | — | indirect |
| PyPI | lintrunner-adapters | — | indirect |
| PyPI | mypy | 2.1.0 | indirect |
| PyPI | pillow | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | ruff | 0.15.19 | indirect |
| PyPI | scikit-build-core | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | types-protobuf | 6.32.1.20260221 | indirect |
| PyPI | wheel | — | indirect |
Raw JSON report machine-readable
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}
],
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},
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"license_spdx": "Apache-2.0"
}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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.