Generative AI extensions for onnxruntime
microsoft/onnxruntime-genai holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Vitality (100/100) and lowest on Security (50/100). It was last updated today. 4 contributors account for most of its recent work.
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.
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.
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Is the project alive — is code being written and are releases shipping?
| 36/36 | Push recency — last push 0 days ago |
| 36/36 | Commit cadence — 52/52 weeks with commits |
| 18/18 | Commit volume — 348 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
| commits_last_year | 348 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
| 27/27 | Ships releases — 29 releases published |
| 36/36 | Release recency — latest release 50 days ago |
| 27/27 | Release cadence — a release every ~21.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
| releases_count | 29 |
| latest_release_tag | v0.14.0 |
| releases_from_tags | no |
| days_since_latest_release | 50 |
| mean_days_between_releases | 21.4 |
Does the project have users, downloads, attention, and a welcoming setup for contributors?
| 49.2/60 | Stars — 1,086 stars |
| 20.9/25 | Forks — 323 forks |
| 9.3/15 | Watchers — 48 watchers |
| forks | 323 |
| stars | 1,086 |
| watchers | 48 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | no |
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
| 43.2/54 | Bus factor — 4 contributor(s) cover half of all commits |
| 18.3/22.5 | Commit distribution — top contributor authored 19% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
| bus_factor | 4 |
| contributors_sampled | 100 |
| top_contributor_share | 0.187 |
| 34.6/46.8 | Issue resolution — 74% of issues closed |
| 31.9/38.3 | PR acceptance — 1,300/1,559 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
| merged_prs | 1,300 |
| open_issues | 145 |
| closed_issues | 415 |
| issue_closed_ratio | 0.741 |
| closed_unmerged_prs | 259 |
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 125,335 followers of microsoft |
| 25/25 | Track record — 8,203 public repos, account ~12 yr old |
| followers | 125,335 |
| owner_type | Organization |
| is_verified | — |
| owner_login | microsoft |
| public_repos | 8,203 |
| account_age_days | 4,603 |
Are baseline engineering and documentation practices in place?
| 24/24 | CI workflows — 15 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
| 30/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles |
| 20/20 | CodeQL workflow |
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml, requirements-lintrunner.txt |
| has_codeql_workflow | yes |
| has_security_policy | yes |
| has_dependabot_config | no |
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.
| 45/45 | Agent instructions — .github/copilot-instructions.md, .github/instructions/python-model-builder.instructions.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | .github/copilot-instructions.md, .github/instructions/python-model-builder.instructions.md |
| agent_instruction_max_bytes | 5,931 |
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — C++ (statically typed) |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 45/45 | Type-checkable code — C++ (statically typed) |
| 54/55 | Manageable file sizes — 8/447 source files over 60KB |
| primary_language | C++ |
| largest_source_bytes | 215,793 |
| source_files_sampled | 447 |
| oversized_source_files | 8 |
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — example, examples |
| example_dirs | example, examples |
| has_mcp_signal | no |
| api_schema_files | — |
Full resolved dependency set from the GitHub dependency graph: 0 direct and 49 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| NuGet | Microsoft.Direct3D.DXC | 1.7.2308.12 | indirect |
| NuGet | Microsoft.Extensions.AI.Abstractions | 9.8.0 | indirect |
| NuGet | Microsoft.ML.OnnxRuntime | — | indirect |
| NuGet | Microsoft.ML.OnnxRuntimeGenAI | 0.14.1 | indirect |
| NuGet | Microsoft.ML.OnnxRuntimeGenAI.Cuda | 0.14.1 | indirect |
| NuGet | Microsoft.ML.OnnxRuntimeGenAI.DirectML | 0.14.1 | indirect |
| NuGet | Microsoft.NET.Test.Sdk | 17.5.0 | indirect |
| NuGet | NAudio | 2.2.1 | indirect |
| NuGet | System.CommandLine | 2.0.1 | indirect |
| NuGet | System.Memory | 4.5.5 | indirect |
| NuGet | xunit | 2.4.1 | indirect |
| NuGet | xunit.runner.visualstudio | 2.4.3 | indirect |
| PyPI | argparse | — | indirect |
| PyPI | clang-format | 20.1.8 | indirect |
| PyPI | coloredlogs | — | indirect |
| PyPI | datasets | — | indirect |
| PyPI | flatbuffers | — | indirect |
| PyPI | gnureadline | — | indirect |
| PyPI | huggingface-hub | — | indirect |
| PyPI | lintrunner | 0.12.7 | indirect |
| PyPI | lintrunner-adapters | 0.12.5 | indirect |
| PyPI | mypy | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | onnx | — | indirect |
| PyPI | onnx-ir | — | indirect |
| PyPI | onnxruntime | 1.26.0 | indirect |
| PyPI | onnxruntime | 1.27.0 | indirect |
| PyPI | onnxruntime | 1.28.0.dev20260612004 | indirect |
| PyPI | onnxruntime-directml | 1.25.0.dev20260125001 | indirect |
| PyPI | onnxruntime-ep-webgpu | 0.2.0.dev20260611 | indirect |
| PyPI | onnxruntime-genai | — | indirect |
| PyPI | onnxruntime-gpu | 1.26.0 | indirect |
| PyPI | packaging | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | protobuf | — | indirect |
| PyPI | protobuf | 6.33.5 | indirect |
| PyPI | pytest | — | indirect |
| PyPI | ruff | 0.12.12 | indirect |
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| PyPI | sympy | — | indirect |
| PyPI | sympy | 1.12 | indirect |
| PyPI | torch | — | indirect |
| PyPI | torch | 2.12.0+cpu | indirect |
| PyPI | torch | 2.6.0+cu124 | indirect |
| PyPI | torch | 2.7.1 | indirect |
| PyPI | torch | 2.7.1+cpu | indirect |
| PyPI | transformers | — | indirect |
| PyPI | wheel | — | indirect |
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"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "example, examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "example, examples"
}
}
],
"max_points": 40
}
]
}
],
"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": [
"OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-18T22:08:44.647717Z",
"schema_version": "0.14.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/microsoft/onnxruntime-genai.svg",
"full_name": "microsoft/onnxruntime-genai",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.14.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.