Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 22:49 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.

C++Apache-2.0★ 13,294 stars⑂ 2,397 forkssince May 2019View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

NVIDIA/TensorRT holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (88/100) and lowest on Security (40/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

88
overall / 100
Excellent

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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

NVIDIA CorporationOrganization · verified domain
29,403 followers800 public repossince May 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpolygraphy0.53.4258,4771320 days ago
PyPItensorrt11.2.1.2233,1064828 days agonvidiatensorrtdeeplearninginference
PyPIonnx_graphsurgeon0.6.1510,1268141 days ago
PyPIpytorch_quantizationpoints to another repo — not scored2.2.11,39351028 days agonvidiadeep-learningmachine-learningsupervised-learningunsupervised-learningreinforcement-learninglogging
PyPIpolygraphy_trtexec0.0.93231099 days ago

Metrics by category

Vitality

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

78Good · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
12.5/36Commit cadence18/52 weeks with commits
12.9/18Commit volume26 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year26
human_commit_share1
days_since_last_push2
active_weeks_last_year18
How it's scored
27/27Ships releases71 releases published
36/36Release recencylatest release 23 days ago
19.8/27Release cadencea release every ~45.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count71
latest_release_tagv11.2
releases_from_tagsno
days_since_latest_release23
mean_days_between_releases45.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

88Excellent · 17% of overall
How it's scored
60/60Stars13,294 stars
25/25Forks2,397 forks
12.2/15Watchers157 watchers
Inputs used
forks2,397
stars13,294
watchers157
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads1,001,741 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespolygraphy, tensorrt, onnx_graphsurgeon, polygraphy_trtexec
dependents
ecosystemspypi
total_downloads
monthly_downloads1,001,741
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?

84Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
15/22.5Commit distributiontop contributor authored 33% of commits
13.5/13.5Contributor breadth83 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor3
contributors_sampled83
top_contributor_share0.333
How it's scored
36.3/42Issue resolution86% of issues closed
19.7/30PR acceptance327/498 decided PRs merged
4.3/13Newcomer PR acceptance1/3 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs327
open_issues573
closed_issues3,658
prs_merged_7d1
prs_decided_7d2
prs_merged_30d4
prs_decided_30d6
issue_closed_ratio0.865
closed_unmerged_prs171
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach29,403 followers of NVIDIA
25/25Track record800 public repos, account ~14 yr old
Inputs used
followers29,403
owner_typeOrganization
is_verifiedyes
owner_loginNVIDIA
public_repos800
account_age_days5,222

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable4 package(s) on pypi
35/35Publish recencylatest publish 20 days ago
20/20Version history48 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespolygraphy, tensorrt, onnx_graphsurgeon, polygraphy_trtexec
ecosystemspypi
any_deprecatedno
min_days_since_publish20

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config.pylintrc
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://developer.nvidia.com/tensorrt
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicstensorrt, nvidia, deep-learning, inference, gpu-acceleration
has_wikino
homepagehttps://developer.nvidia.com/tensorrt
docs_sitehttps://developer.nvidia.com/tensorrt
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

40Weak · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfilespoetry.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespoetry.lock
manifestspython/requirements.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages3
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:tensorrt@11.2.1.2 runtime dependency closure — what installing the published package pulls in — 3 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.

76Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://developer.nvidia.com/llms.txt)
34.7/40Legible commit history65 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://developer.nvidia.com/llms.txt
legible_history_share0.65
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapquickstart/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
22/22Automated tests
11/11Lint / format config.pylintrc
11/11Static type checkingC++ (statically typed)
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageyes
bootstrap_filesquickstart/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_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
45/45Type-checkable codeC++ (statically typed)
44.9/55Manageable file sizes199/1,080 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes3,041,274
source_files_sampled1,080
oversized_source_files199
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks, samples
Inputs used
example_dirsexamples, notebooks, samples
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

13,294GitHub stars
83contributors
26commits, last 12 months
2days since last push
71releases
3bus factor
573open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 13294 stars today.
  • 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
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/08/27 22:47:16 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 ★ / 2,397 ⇿
13,169Stars
2,397Forks
33Releases

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.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

02,5005,0007,50010,00012,50015,00013,1692,397462022-112024-092026-08
Major 1Minor 16Patch 7

Each point covers 4 days.

Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIwheel0.45.1python/packaging/pyproject.toml
PyPIsetuptools^80.4.0python/packaging/pyproject.toml
All dependencies 257

Full resolved dependency set from the GitHub dependency graph: 5 direct and 252 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 0

Installing pypi:tensorrt@11.2.1.2 pulls in 3 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 statisticsPyPI.