Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 19:34 UTC

pytorch / TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Python · Jupyter Notebook · C++BSD-3-Clause★ 2,993 stars⑂ 410 forkssince Mar 2020View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#tensorrt#libtorch#machine-learning#pytorch#deep-learning#jetson#nvidia#cuda

pytorch/TensorRT holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (40/100). It was last updated today. 2 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

pytorchOrganization · verified domain
13,633 followers70 public repossince Aug 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItorch-tensorrt-rtx2.13.0-547 days agopytorchtorchtensorrttrtaiartificial-intelligencemlmachine-learningdldeep-learningcompilerdynamotorchscriptinference
PyPItorch_tensorrt2.13.022,1311847 days agopytorchtorchtensorrttrtaiartificial-intelligencemlmachine-learningdldeep-learningcompilerdynamotorchscriptinference

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

98Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 641 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year641
human_commit_share1
days_since_last_push0
active_weeks_last_year49

Release discipline

92Excellent
How it's scored
27/27Ships releases — 29 releases published
36/36Release recency — latest release 4 days ago
19.8/27Release cadence — a release every ~54.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count29
latest_release_tagv2.14.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases54.5

Community & Adoption

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

85Excellent · 17% of overall

Popularity & adoption

88Excellent
How it's scored
56.4/60Stars — 2,993 stars
21.8/25Forks — 410 forks
10/15Watchers — 65 watchers
Inputs used
forks410
stars2,993
watchers65
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

72Good
How it's scored
57.9/80Monthly downloads — 22,131 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestorch-tensorrt-rtx, torch_tensorrt
dependents—
ecosystemspypi
total_downloads—
monthly_downloads22,131
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?

80Excellent · 23% of overall

Maintainer resilience (bus factor)

58Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.7/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 99 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.39

Issue & PR responsiveness

72Good
How it's scored
37/42Issue resolution — 88% of issues closed
24.2/30PR acceptance — 2,031/2,516 decided PRs merged
0/13Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs2,031
open_issues231
closed_issues1,698
prs_merged_7d7
prs_decided_7d7
prs_merged_30d50
prs_decided_30d60
issue_closed_ratio0.88
closed_unmerged_prs485
first_time_authors_30d2
first_time_prs_merged_30d0
first_time_prs_decided_30d2

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 13,633 followers of pytorch
25/25Track record — 70 public repos, account ~10 yr old
Inputs used
followers13,633
owner_typeOrganization
is_verifiedyes
owner_loginpytorch
public_repos70
account_age_days3,684

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 47 days ago
20/20Version history — 18 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestorch-tensorrt-rtx, torch_tensorrt
ecosystemspypi
any_deprecatedno
min_days_since_publish47

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 26 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pytorch.org/TensorRT
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicstensorrt, libtorch, machine-learning, pytorch, deep-learning, jetson, nvidia, cuda
has_wikiyes
homepagehttps://pytorch.org/TensorRT
docs_sitehttps://pytorch.org/TensorRT
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 16% of overall

Security posture

25At Risk
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — package-lock.json, uv.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestsdocsrc/requirements.txt, py/requirements.txt, pyproject.toml, requirements-dev.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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_packages37
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:torch-tensorrt-rtx@2.13.0 runtime dependency closure — what installing the published package pulls in — 37 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.

75Good · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://pytorch.org/llms.txt)
40/40Legible commit history — 94 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://pytorch.org/llms.txt
legible_history_share0.94
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — docsrc/Makefile, examples/int8/ptq/Makefile, examples/int8/qat/Makefile, examples/torchtrt_aoti_example/Makefile, examples/torchtrt_runtime_example/Makefile, justfile, noxfile.py
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
11/11Static type checking — .github/actions/assigner/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocsrc/Makefile, examples/int8/ptq/Makefile, examples/int8/qat/Makefile, examples/torchtrt_aoti_example/Makefile, examples/torchtrt_runtime_example/Makefile, justfile, noxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configs.github/actions/assigner/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

76Good
How it's scored
27/45Type-checkable code — Python with type-check config (.github/actions/assigner/tsconfig.json)
49.4/55Manageable file sizes — 537/5,254 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes555,307
source_files_sampled5,254
oversized_source_files537

Machine-readable interfaces

100Exceptional
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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

2,993GitHub stars
99contributors
641commits, last 12 months
0days since last push
29releases
2bus factor
231open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'torch-tensorrt-rtx' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 410 ⇿
0Stars
410Forks
28Releases

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.

010020030040050040382020-032023-062026-08
Major 1Minor 20Patch 7

Each point covers 6 days.

All dependencies 304

Full resolved dependency set from the GitHub dependency graph: 0 direct and 304 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPItransformers5.14.1indirect
PyPItransformers5.16.1indirect
PyPItriton2.3.0indirect
PyPItriton3.8.0+gitc01b6774indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItypos1.50.1indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.8indirect
PyPIwebencodings0.6.1indirect
PyPIwheel—indirect
PyPIwonderwords3.0.1indirect
PyPIxxhash4.0.1indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:torch-tensorrt-rtx@2.13.0 pulls in 37 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.

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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.