Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 03:39 UTC

NVIDIA / warp

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

Python · C++Apache-2.0★ 7,037 stars⑂ 601 forkssince Mar 2022View on GitHub ↗
KindLibraryhow this is determined
#differentiable-programming#python#gpu-acceleration#nvidia#gpu#cuda#nvidia-warp

NVIDIA/warp holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (70/100). It was last updated today. 2 contributors account for most of its recent work.

98
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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

NVIDIA CorporationOrganization · verified domain
29,407 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 publish
PyPIwarp-lang1.16.01,230,6155125 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,891 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,891
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 53 releases published
36/36Release recency — latest release 25 days ago
27/27Release cadence — a release every ~27.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count53
latest_release_tagv1.16.0
releases_from_tagsno
days_since_latest_release25
mean_days_between_releases27.2

Community & Adoption

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

94Exceptional · 17% of overall

Popularity & adoption

93Exceptional
How it's scored
60/60Stars — 7,037 stars
23.2/25Forks — 601 forks
9.5/15Watchers — 53 watchers
Inputs used
forks601
stars7,037
watchers53
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 (Apache-2.0)
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,230,615 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageswarp-lang
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,230,615
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.3/22.5Commit distribution — top contributor authored 32% of commits
13.5/13.5Contributor breadth — 90 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled90
top_contributor_share0.321

Issue & PR responsiveness

43Weak
How it's scored
33.6/42Issue resolution — 80% of issues closed
6.5/30PR acceptance — 66/304 decided PRs merged
3.2/13Newcomer PR acceptance — 2/8 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0
Inputs used
merged_prs66
open_issues280
closed_issues1,111
prs_merged_7d1
prs_decided_7d5
prs_merged_30d2
prs_decided_30d29
issue_closed_ratio0.799
closed_unmerged_prs238
first_time_authors_30d8
first_time_prs_merged_30d2
first_time_prs_decided_30d8

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 29,407 followers of NVIDIA
25/25Track record — 800 public repos, account ~14 yr old
Inputs used
followers29,407
owner_typeOrganization
is_verifiedyes
owner_loginNVIDIA
public_repos800
account_age_days5,222

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 25 days ago
20/20Version history — 51 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswarp-lang
ecosystemspypi
any_deprecatedno
min_days_since_publish25

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nvidia.github.io/warp/stable/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsdifferentiable-programming, python, gpu-acceleration, nvidia, gpu, cuda, nvidia-warp
has_wikino
homepagehttps://nvidia.github.io/warp/stable/
docs_sitehttps://nvidia.github.io/warp/stable/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall

Security posture

62Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
3.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
3.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.2

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_packages1
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:warp-lang@1.16.0 runtime dependency closure — what installing the published package pulls in — 1 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.

88Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,023

Verify loop (build / test / typecheck)

89Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile, warp/examples/cpp/00_cubin_launch/Makefile, warp/examples/cpp/01_source_include/Makefile, warp/examples/cpp/02_apic_visualization/Makefile, warp/examples/cpp/03_apic_visualization_cpu/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — warp/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile, warp/examples/cpp/00_cubin_launch/Makefile, warp/examples/cpp/01_source_include/Makefile, warp/examples/cpp/02_apic_visualization/Makefile, warp/examples/cpp/03_apic_visualization_cpu/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configswarp/py.typed
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (warp/py.typed)
52.5/55Manageable file sizes — 35/784 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes682,015
source_files_sampled784
oversized_source_files35

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
Inputs used
example_dirsexamples
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

7,037GitHub stars
90contributors
1,891commits, last 12 months
0days since last push
53releases
2bus factor
280open 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 ★ / 601 ⇿
0Stars
601Forks
53Releases

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.

0100200300400500600574302022-032024-062026-08
Major 1Minor 23Patch 23

Each point covers 5 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-08-28 03:38 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpy—pyproject.toml
All dependencies 115

Full resolved dependency set from the GitHub dependency graph: 3 direct and 112 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIbabel2.17.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIblosc1.11.4indirect
PyPIcertifi2026.6.17indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.15.1indirect
PyPIcuda-bindings12.9.4indirect
PyPIcuda-bindings13.3.0indirect
PyPIcuda-pathfinder1.5.5indirect
PyPIcuda-toolkit12.6.3indirect
PyPIcuda-toolkit13.0.3.0indirect
PyPIcycler0.12.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.21.2indirect
PyPIfilelock3.20.3indirect
PyPIfonttools4.61.1indirect
PyPIfsspec2025.12.0indirect
PyPIidentify2.6.15indirect
PyPIidna3.18indirect
PyPIimagesize1.4.1indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.4.9indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.8indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPIml-dtypes0.5.4indirect
PyPImpmath1.3.0indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.1.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInodeenv1.10.0indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cublas-cu1212.6.4.1indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-cupti-cu1212.6.80indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-nvrtc-cu1212.6.85indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cuda-runtime-cu1212.6.77indirect
PyPInvidia-cudnn-cu129.10.2.21indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufft-cu1211.3.0.4indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-cufile-cu121.11.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-curand-cu1210.3.7.77indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusolver-cu1211.7.1.2indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparse-cu1212.5.4.2indirect
PyPInvidia-cusparselt-cu120.7.1indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu122.29.3indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvjitlink-cu1212.6.85indirect
PyPInvidia-nvshmem-cu123.4.5indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPInvidia-nvtx-cu1212.6.77indirect
PyPInvidia-sphinx-theme0.0.9.post1indirect
PyPInvtx0.2.14indirect
PyPIpackaging25.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpre-commit4.5.1indirect
PyPIpsutil7.2.0indirect
PyPIpydata-sphinx-theme0.19.0indirect
PyPIpydata-sphinx-theme0.20.0indirect
PyPIpyglet2.1.11indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsetuptools—indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsympy1.14.0indirect
PyPItomli2.4.1indirect
PyPItorch2.13.0+cu126indirect
PyPItorch2.13.0+cu130indirect
PyPItriton3.7.1indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
PyPIusd-core26.8indirect
PyPIusd-exchange3.0.0indirect
PyPIvirtualenv20.36.1indirect
Dependency advisories 0

Installing pypi:warp-lang@1.16.0 pulls in 1 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.

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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.