Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 08:50 UTC

onnx / ir-py

Efficient in-memory representation for ONNX, in Python

PythonApache-2.0★ 46 stars⑂ 20 forkssince May 2025View on GitHub ↗

onnx/ir-py holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Community & Adoption (71/100). It was last updated 3 days ago. A single contributor accounts 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

Open Neural Network ExchangeOrganization · verified domain
2,754 followers30 public repossince Sep 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIonnx-ir1.0.02,276,8862131 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 191 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year191
human_commit_share0.4
days_since_last_push3
active_weeks_last_year44

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 21 releases published
36/36Release recency — latest release 32 days ago
27/27Release cadence — a release every ~33.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count21
latest_release_tagv1.0.0
releases_from_tagsno
days_since_latest_release32
mean_days_between_releases33.2
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?

71Good · 17% of overall
How it's scored
26.8/60Stars — 46 stars
10.7/25Forks — 20 forks
3.9/15Watchers — 6 watchers
Inputs used
forks20
stars46
watchers6
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_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 2,276,886 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesonnx-ir
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,276,886
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?

76Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.9/22.5Commit distribution — top contributor authored 87% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.872
How it's scored
35/42Issue resolution — 83% of issues closed
24.3/30PR acceptance — 333/411 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_prs333
open_issues11
closed_issues55
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.833
closed_unmerged_prs78
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.7/25Owner reach — 2,754 followers of onnx
22.9/25Track record — 30 public repos, account ~9 yr old
Inputs used
followers2,754
owner_typeOrganization
is_verifiedyes
owner_loginonnx
public_repos30
account_age_days3,293

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 — 21 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesonnx-ir
ecosystemspypi
any_deprecatedno
min_days_since_publish31

Engineering Quality

Are baseline engineering and documentation practices in place?

94Exceptional · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.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_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://onnx.ai/ir-py/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsintermediate-representation, onnx, computation-graph, large-language-models, machine-learning, compilation, graph-transformation, model-optimization
has_wikiyes
homepagehttp://onnx.ai/ir-py/
docs_sitehttp://onnx.ai/ir-py/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-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
0.5/2.5CII-Best-Practices — badge detected: InProgress
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 6 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 49 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.6
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 advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages7
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:onnx-ir@1.0.0 runtime dependency closure — what installing the published package pulls in — 7 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.

77Good · 4% of overall
How it's scored
18/45Agent instructions — .github/copilot-instructions.md (stub)
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 40 of 40 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes176
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/onnx_ir/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 31 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 60 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configssrc/onnx_ir/py.typed
agent_commit_share0.31
toolchain_manifests—
dependency_bot_commit_share0.6
How it's scored
27/45Type-checkable code — Python with type-check config (src/onnx_ir/py.typed)
52.8/55Manageable file sizes — 4/100 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes244,450
source_files_sampled100
oversized_source_files4
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 — notebooks
Inputs used
example_dirsnotebooks
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

46GitHub stars
14contributors
191commits, last 12 months
3days since last push
21releases
1bus factor
11open 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 ★ / 20 ⇿
0Stars
20Forks
20Releases

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.

0481216202022025-052025-122026-07
Major 0Minor 2Patch 16

Each point covers 2 days.

OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-09-12 08:49 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-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
2CII-Best-Practicesbadge detected: InProgress
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities49 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPInumpy—pyproject.toml
PyPIonnx>=1.16pyproject.toml
PyPItyping_extensions>=4.10pyproject.toml
PyPIml_dtypes>=0.5.0pyproject.toml
PyPIsympy>=1.13pyproject.toml
PyPIpackaging—pyproject.toml
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 5 direct and 33 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIml-dtypes—direct
PyPIonnx—direct
PyPIpackaging—direct
PyPIsympy—direct
PyPItyping-extensions—direct
PyPIchardet—indirect
PyPIeditorconfig-checker3.11.1indirect
PyPIexpecttest0.1.6indirect
PyPIfuro—indirect
PyPIhypothesis—indirect
PyPIjax—indirect
PyPIlintrunner—indirect
PyPIlintrunner-adapters—indirect
PyPImatplotlib—indirect
PyPImypy2.3.0indirect
PyPImyst-nb—indirect
PyPImyst-parser—indirect
PyPIonnx-weekly1.23.0.dev20260831indirect
PyPIonnxruntime—indirect
PyPIparameterized—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-randomly—indirect
PyPIpytest-subtests—indirect
PyPIpytest-xdist—indirect
PyPIpyyaml—indirect
PyPIrich—indirect
PyPIruff0.16.6indirect
PyPIsafetensors—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-exec-code—indirect
PyPIsphinx-gallery—indirect
PyPItorch—indirect
PyPItorchvision—indirect
PyPItransformers—indirect
PyPItypes-pyyaml6.0.12.20260724indirect
Dependency advisories 0

Installing pypi:onnx-ir@1.0.0 pulls in 7 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 statistics — PyPI.