Public recordGood
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 04:42 UTC
NVIDIA / TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
NVIDIA/TensorRT holds a health index of 70 out of 100, placing it in the Good band. It scores highest on Community & Adoption (88/100) and lowest on Security (21/100). It was last updated 13 days ago. 3 contributors account for most of its recent work.
70
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.
70
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
NVIDIA CorporationOrganization
28,173 followers769 public repossince May 2012
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 | polygraphy | 0.50.3 | 211,647 | 12 | 54 days ago | — |
| PyPI | onnx_graphsurgeon | 0.6.1 | 719,076 | 8 | 103 days ago | — |
| PyPI | pytorch_quantizationpoints to another repo — not scored | 2.2.1 | - | 5 | 990 days ago | nvidiadeep-learningmachine-learningsupervised-learningunsupervised-learningreinforcement-learninglogging |
| PyPI | polygraphy_trtexec | 0.0.9 | - | 3 | 1062 days ago | — |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
76
Development activity
60Moderate
How it's scored
| 28.8/36 | Push recency — last push 13 days ago |
| 12.5/36 | Commit cadence — 18/52 weeks with commits |
| 12.7/18 | Commit volume — 25 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 25 |
| human_commit_share | — |
| days_since_last_push | 13 |
| active_weeks_last_year | 18 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 70 releases published |
| 36/36 | Release recency — latest release 26 days ago |
| 27/27 | Release cadence — a release every ~44.3 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 70 |
| latest_release_tag | v11.1 |
| releases_from_tags | no |
| days_since_latest_release | 26 |
| mean_days_between_releases | 44.3 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
88
Popularity & adoption
97Excellent
How it's scored
| 60/60 | Stars — 13,169 stars |
| 25/25 | Forks — 2,389 forks |
| 12.2/15 | Watchers — 157 watchers |
Inputs used
| forks | 2,389 |
| stars | 13,169 |
| watchers | 157 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
99Excellent
How it's scored
| 79.6/80 | Monthly downloads — 930,723 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 930,723 |
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?
81
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 15/22.5 | Commit distribution — top contributor authored 33% of commits |
| 13.5/13.5 | Contributor breadth — 83 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 83 |
| top_contributor_share | 0.334 |
How it's scored
| 40.5/46.8 | Issue resolution — 87% of issues closed |
| 25.1/38.3 | PR acceptance — 323/492 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 323 |
| open_issues | 560 |
| closed_issues | 3,657 |
| issue_closed_ratio | 0.867 |
| closed_unmerged_prs | 169 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 28,173 followers of NVIDIA |
| 25/25 | Track record — 769 public repos, account ~14 yr old |
Inputs used
| followers | 28,173 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 769 |
| account_age_days | 5,184 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 3 package(s) on pypi |
| 35/35 | Publish recency — latest publish 54 days ago |
| 20/20 | Version history — 12 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 54 |
Engineering Quality
Are baseline engineering and documentation practices in place?
74
Engineering practices
80Good
How it's scored
| 24/24 | CI workflows — 5 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .pylintrc |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://developer.nvidia.com/tensorrt |
| 10/10 | Repository description |
| 10/10 | Topics — 5 topics |
| 0/10 | Wiki |
Inputs used
| topics | tensorrt, nvidia, deep-learning, inference, gpu-acceleration |
| has_wiki | no |
| homepage | https://developer.nvidia.com/tensorrt |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
21
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | python/requirements.txt |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 0/25 | Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 744 |
| affected_packages | 29 |
| assessed_packages | 75 |
| unassessed_packages | 50 |
| affected_by_severity | critical 8, high 7, moderate 2, unknown 12 |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 75 resolved dependencies against OSV. 50 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.
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.
54
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 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 | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
86Excellent
How it's scored
| 18/18 | One-command bootstrap — quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .pylintrc |
| 11/11 | Static type checking — C++ (statically typed) |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
90Excellent
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 44.8/55 | Manageable file sizes — 199/1,073 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 3,041,274 |
| source_files_sampled | 1,073 |
| oversized_source_files | 199 |
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, notebooks, samples |
Inputs used
| example_dirs | examples, notebooks, samples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
13,169GitHub stars
83contributors
25commits, last 12 months
13days since last push
70releases
3bus factor
560open issues
PyPIpackage ecosystems
Data collection warnings
- pypi package 'pytorch_quantization' points at a different repository (https://github.com/NVIDIA); excluded from ecosystem scoring
- Could not fetch pypi package 'tensorflow_quantization' from its registry
- Advisory severity resolved for 120 of 422 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/21 04:41:52 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
More detail
Star and fork history 13,169 ★ / 0 ⇿
13,169Stars
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.
Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.
All dependencies 125
Full resolved dependency set from the GitHub dependency graph: 0 direct and 125 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | absl-py | — | indirect |
| PyPI | accelerate | 1.2.1 | indirect |
| PyPI | apex | 0.9.10dev | indirect |
| PyPI | argparse | — | indirect |
| PyPI | build | 1.0.0 | indirect |
| PyPI | colored | — | indirect |
| PyPI | colored | 2.3.2 | indirect |
| PyPI | controlnet-aux | 0.0.6 | indirect |
| PyPI | cuda-bindings | — | indirect |
| PyPI | cuda-python | — | indirect |
| PyPI | cuda-python | 12.9.0 | indirect |
| PyPI | cupy-cuda12x | — | indirect |
| PyPI | cupy-cuda12x | 13.6.0 | indirect |
| PyPI | diffusers | 0.35.2 | indirect |
| PyPI | docutils | 0.16 | indirect |
| PyPI | docutils | 0.18.1 | indirect |
| PyPI | ftfy | — | indirect |
| PyPI | furo | 2024.8.6 | indirect |
| PyPI | gcloud | — | indirect |
| PyPI | google-cloud-storage | — | indirect |
| PyPI | huggingface-hub | 0.11.0 | indirect |
| PyPI | huggingface-hub | 0.4.0 | indirect |
| PyPI | imageio-ffmpeg | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | ml-dtypes | — | indirect |
| PyPI | mpi4py | 4.1.1 | indirect |
| PyPI | myst-parser | 3.0.1 | indirect |
| PyPI | nccl4py | 0.1.1 | indirect |
| PyPI | nltk | 3.9.1 | indirect |
| PyPI | numba | — | indirect |
| PyPI | numba-cuda | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | numpy | 1.23.0 | indirect |
| PyPI | numpy | 1.23.1 | indirect |
| PyPI | numpy | 1.26.4 | indirect |
| PyPI | nvidia-cutlass-dsl | 4.5.0 | indirect |
| PyPI | nvidia-modelopt | 0.31.0 | indirect |
| PyPI | nvidia-modelopt | 0.35.0 | indirect |
| PyPI | nvidia-pyindex | — | indirect |
| PyPI | nvidia-tensorrt | — | indirect |
| PyPI | nvtx | — | indirect |
| PyPI | onnx | — | indirect |
| PyPI | onnx | 1.13.1 | indirect |
| PyPI | onnx | 1.14.0 | indirect |
| PyPI | onnx | 1.17.0 | indirect |
| PyPI | onnx | 1.18.0 | indirect |
| PyPI | onnx | 1.20.0 | indirect |
| PyPI | onnx | 1.9.0 | indirect |
| PyPI | onnx-graphsurgeon | — | indirect |
| PyPI | onnx-graphsurgeon | 0.5.2 | indirect |
| PyPI | onnxconverter-common | 1.12.2 | indirect |
| PyPI | onnxmltools | 1.11.1 | indirect |
| PyPI | onnxruntime | — | indirect |
| PyPI | onnxruntime | 1.12.1 | indirect |
| PyPI | onnxruntime | 1.15.0 | indirect |
| PyPI | onnxruntime | 1.18.1 | indirect |
| PyPI | onnxruntime | 1.19.2 | indirect |
| PyPI | onnxruntime | 1.8.1 | indirect |
| PyPI | onnxruntime-gpu | — | indirect |
| PyPI | onnxscript | — | indirect |
| PyPI | onnxscript | 0.5.4 | indirect |
| PyPI | opencv-python-headless | 4.8.0.74 | indirect |
| PyPI | peft | 0.17.0 | indirect |
| PyPI | pillow | — | indirect |
| PyPI | pillow | 11.3.0 | indirect |
| PyPI | polygraphy | — | indirect |
| PyPI | polygraphy | 0.49.0 | indirect |
| PyPI | polygraphy | 0.49.22 | indirect |
| PyPI | polygraphy | 0.50.1 | indirect |
| PyPI | prettytable | — | indirect |
| PyPI | protobuf | — | indirect |
| PyPI | protobuf | 3.20.2 | indirect |
| PyPI | protobuf | 3.20.3 | indirect |
| PyPI | pycuda | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-console-scripts | — | indirect |
| PyPI | pytest-rerunfailures | — | indirect |
| PyPI | pytest-virtualenv | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | pywin32 | — | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | requests | 2.25.1 | indirect |
| PyPI | requests | 2.32.4 | indirect |
| PyPI | requests | 2.33.0 | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | sentencepiece | 0.1.95 | indirect |
| PyPI | sentencepiece | 0.1.97 | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | sphinx | 7.1.2 | indirect |
| PyPI | sphinx-glpi-theme | — | indirect |
| PyPI | sympy | 1.9 | indirect |
| PyPI | tabulate | — | indirect |
| PyPI | tensorflow | — | indirect |
| PyPI | tensorflow-gpu | 2.8.0 | indirect |
| PyPI | tensorrt | — | indirect |
| PyPI | tf2onnx | — | indirect |
| PyPI | tf2onnx | 1.10.1 | indirect |
| PyPI | toml | — | indirect |
| PyPI | tomli | 2.0.0 | indirect |
| PyPI | torch | — | indirect |
| PyPI | torch | 1.10 | indirect |
| PyPI | torch | 1.10.2 | indirect |
| PyPI | torch | 1.10.2+cu113 | indirect |
| PyPI | torch | 1.11.0 | indirect |
| PyPI | torch | 1.11.0+cu113 | indirect |
| PyPI | torch | 1.13.1 | indirect |
| PyPI | torch | 2.8.0 | indirect |
| PyPI | torch | 2.9.1 | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | torchvision | 0.11.3 | indirect |
| PyPI | torchvision | 0.12.0 | indirect |
| PyPI | tqdm | 4.66.4 | indirect |
| PyPI | transformers | 4.18.0 | indirect |
| PyPI | transformers | 4.20.0 | indirect |
| PyPI | transformers | 4.52.4 | indirect |
| PyPI | triton | — | indirect |
| PyPI | triton | 3.2.0 | indirect |
| PyPI | triton | 3.5.0 | indirect |
| PyPI | virtualenv | — | indirect |
| PyPI | wget | — | indirect |
| PyPI | wget | 3.2 | indirect |
| PyPI | wheel | — | indirect |
| PyPI | wheel | 0.45.1 | indirect |
Dependency advisories 29
This repository publishes no package the index resolves, so its own dependency graph was assessed — 75 packages, which also include development and test pins that never ship: 29 carry known advisories, of which 0 are direct. 50 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| nltk | 3.9.1 | indirect | critical | 18 | 3.10.0 |
| onnx | 1.13.1 | indirect | critical | 21 | 1.22.0 |
| onnx | 1.14.0 | indirect | critical | 21 | 1.22.0 |
| onnx | 1.17.0 | indirect | critical | 14 | 1.22.0 |
| onnx | 1.18.0 | indirect | critical | 13 | 1.22.0 |
| onnx | 1.20.0 | indirect | critical | 13 | 1.22.0 |
| onnx | 1.9.0 | indirect | critical | 23 | 1.22.0 |
| pillow | 11.3.0 | indirect | critical | 31 | 12.3.0 |
| diffusers | 0.35.2 | indirect | high | 5 | 0.38.0 |
| opencv-python-headless | 4.8.0.74 | indirect | high | 2 | 4.8.1.78 |
| protobuf | 3.20.2 | indirect | high | 4 | 6.33.5 |
| protobuf | 3.20.3 | indirect | high | 4 | 6.33.5 |
| sentencepiece | 0.1.95 | indirect | high | 2 | 0.2.1 |
| sentencepiece | 0.1.97 | indirect | high | 2 | 0.2.1 |
| tensorflow-gpu | 2.8.0 | indirect | high | 247 | 2.11.1 |
| requests | 2.25.1 | indirect | moderate | 8 | 2.33.0 |
| requests | 2.32.4 | indirect | moderate | 2 | 2.33.0 |
| torch | 1.10 | indirect | unknown | 30 | — |
| torch | 1.10.2 | indirect | unknown | 30 | — |
| torch | 1.10.2+cu113 | indirect | unknown | 30 | — |
| torch | 1.11.0 | indirect | unknown | 30 | — |
| torch | 1.11.0+cu113 | indirect | unknown | 30 | — |
| torch | 1.13.1 | indirect | unknown | 28 | — |
| torch | 2.8.0 | indirect | unknown | 8 | — |
| torch | 2.9.1 | indirect | unknown | 4 | — |
| transformers | 4.18.0 | indirect | unknown | 50 | — |
| transformers | 4.20.0 | indirect | unknown | 50 | — |
| transformers | 4.52.4 | indirect | unknown | 22 | — |
| wheel | 0.45.1 | indirect | unknown | 2 | — |
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
{
"data": {
"repo": {
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"tensorrt",
"nvidia",
"deep-learning",
"inference",
"gpu-acceleration"
],
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"Python": 3318529,
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"Batchfile": 2731,
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"PowerShell": 162,
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},
"pushed_at": "2026-07-07T20:42:11Z",
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"owner_type": "Organization",
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"location": "2788 San Tomas Expressway, Santa Clara, CA, 95051",
"followers": 28173,
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},
"license": {
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},
"activity": {
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"latest_release_at": "2026-06-24T21:27:05Z",
"latest_release_tag": "v11.1",
"releases_from_tags": false,
"days_since_last_push": 13,
"active_weeks_last_year": 18,
"days_since_latest_release": 26,
"mean_days_between_releases": 44.3
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 62,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "polygraphy",
"exists": true,
"license": "Apache 2.0",
"keywords": [
"Intended Audience :: Developers",
"Programming Language :: Python :: 3"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/polygraphy/",
"is_deprecated": false,
"latest_version": "0.50.3",
"repository_url": "https://github.com/NVIDIA/TensorRT/tree/main/tools/Polygraphy",
"versions_count": 12,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": 211647,
"first_published_at": "2020-10-17T15:39:03.980211Z",
"latest_published_at": "2026-05-27T21:35:58.591560Z",
"latest_version_yanked": null,
"days_since_latest_publish": 54
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"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
"band": "excellent",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 99,
"inputs": {
"packages": [
"polygraphy",
"onnx_graphsurgeon",
"polygraphy_trtexec"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 930723
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "930,723 downloads/month across pypi",
"points": 79.6,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 930723,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 81,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"bus_factor": 3,
"contributors_sampled": 83,
"top_contributor_share": 0.334
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "3 contributor(s) cover half of all commits",
"points": 36,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 3
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 33% of commits",
"points": 15,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 33
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "83 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 83
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"merged_prs": 323,
"open_issues": 560,
"closed_issues": 3657,
"issue_closed_ratio": 0.867,
"closed_unmerged_prs": 169
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "87% of issues closed",
"points": 40.5,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 87
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "323/492 decided PRs merged",
"points": 25.1,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 323,
"decided": 492
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"followers": 28173,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "NVIDIA",
"public_repos": 769,
"account_age_days": 5184
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "28,173 followers of NVIDIA",
"points": 25,
"status": "met",
"details": [
{
"code": "owner_followers",
"params": {
"count": 28173,
"login": "NVIDIA"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "769 public repos, account ~14 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 769
}
},
{
"code": "account_age_years",
"params": {
"years": 14
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"polygraphy",
"onnx_graphsurgeon",
"polygraphy_trtexec"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 54
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "3 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 3,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 54 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 54
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "12 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 12
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 74,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "good",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "5 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 5
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".pylintrc",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [
"tensorrt",
"nvidia",
"deep-learning",
"inference",
"gpu-acceleration"
],
"has_wiki": false,
"homepage": "https://developer.nvidia.com/tensorrt",
"has_readme": true,
"has_docs_dir": false,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://developer.nvidia.com/tensorrt",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "5 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 5
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "critical",
"name": "Security",
"value": 21,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"dependency_lockfiles"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"python/requirements.txt"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 75 resolved dependencies against OSV; 50 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 75
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 50
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 744,
"affected_packages": 29,
"assessed_packages": 75,
"unassessed_packages": 50,
"affected_by_severity": "critical 8, high 7, moderate 2, unknown 12",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 75,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 54,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 86,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": true,
"bootstrap_files": [
"quickstart/Makefile",
"quickstart/SemanticSegmentation/Makefile",
"tools/Polygraphy/Makefile",
"tools/onnx-graphsurgeon/Makefile",
"tools/polygraphy-extension-trtexec/Makefile",
"tools/pytorch-quantization/docs/Makefile",
"tools/tensorflow-quantization/docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".pylintrc",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "C++ (statically typed)",
"points": 11,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "C++"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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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 'pytorch_quantization' points at a different repository (https://github.com/NVIDIA); excluded from ecosystem scoring",
"Could not fetch pypi package 'tensorflow_quantization' from its registry",
"Advisory severity resolved for 120 of 422 advisories (lookup cap); the remainder are reported as unknown severity",
"OpenSSF Scorecard did not return a usable result (2026/07/21 04:41:52 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-21T04:42:50.437293Z",
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"full_name": "NVIDIA/TensorRT",
"license_state": "standard",
"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 v0.17.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.