Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 00:16 UTC
NVIDIA / cuda-python
CUDA Python: Performance meets Productivity
NVIDIA/cuda-python holds a health index of 83 out of 100, placing it in the Good band. It scores highest on Vitality (95/100) and lowest on Security (70/100). It was last updated today. 3 contributors account for most of its recent work.
83
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.
83
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
28,050 followers766 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 |
|---|---|---|---|---|---|
| PyPI | cuda-bindings | 13.3.1 | - | 20 | 48 days ago |
| PyPI | cuda-core | 1.1.0 | - | 15 | 7 days ago |
| PyPI | cuda-pathfinder | 1.5.6 | - | 25 | 16 days ago |
| PyPI | cuda-python | 13.3.1 | - | 43 | 48 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
95
Development activity
99Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 35.3/36 | Commit cadence — 51/52 weeks with commits |
| 18/18 | Commit volume — 829 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 829 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 83 releases published |
| 36/36 | Release recency — latest release 7 days ago |
| 27/27 | Release cadence — a release every ~9.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 83 |
| latest_release_tag | cuda-core-v1.1.0 |
| releases_from_tags | no |
| days_since_latest_release | 7 |
| mean_days_between_releases | 9.6 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
82
Popularity & adoption
87Excellent
How it's scored
| 57.1/60 | Stars — 3,316 stars |
| 20.7/25 | Forks — 307 forks |
| 9.4/15 | Watchers — 50 watchers |
Inputs used
| forks | 307 |
| stars | 3,316 |
| watchers | 50 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
77Good
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 |
| 6.3/6.3 | 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 | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
84
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 16.3/22.5 | Commit distribution — top contributor authored 28% of commits |
| 13.5/13.5 | Contributor breadth — 64 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 39 contributing companies or organizations |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 64 |
| top_contributor_share | 0.276 |
How it's scored
| 36.5/46.8 | Issue resolution — 78% of issues closed |
| 32.3/38.3 | PR acceptance — 1,167/1,380 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 1,167 |
| open_issues | 202 |
| closed_issues | 721 |
| issue_closed_ratio | 0.781 |
| closed_unmerged_prs | 213 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 28,050 followers of NVIDIA |
| 25/25 | Track record — 766 public repos, account ~14 yr old |
Inputs used
| followers | 28,050 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 766 |
| account_age_days | 5,180 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 4 package(s) on pypi |
| 35/35 | Publish recency — latest publish 7 days ago |
| 20/20 | Version history — 43 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | cuda-bindings, cuda-core, cuda-pathfinder, cuda-python |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 7 |
Engineering Quality
Are baseline engineering and documentation practices in place?
82
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 20 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — ruff.toml |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://nvidia.github.io/cuda-python/ |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://nvidia.github.io/cuda-python/ |
| 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?
70
Security posture
70Good
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 39 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 3.5/5 | SAST — SAST tool detected but not run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 7 |
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.
73
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — AGENTS.md, CLAUDE.md, benchmarks/cuda_bindings/AGENTS.md, benchmarks/cuda_core/AGENTS.md, cuda_bindings/AGENTS.md, cuda_bindings/CLAUDE.md, cuda_core/AGENTS.md, cuda_core/CLAUDE.md, cuda_pathfinder/AGENTS.md, cuda_pathfinder/CLAUDE.md, cuda_python/AGENTS.md, cuda_python/CLAUDE.md |
| 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 | AGENTS.md, CLAUDE.md, benchmarks/cuda_bindings/AGENTS.md, benchmarks/cuda_core/AGENTS.md, cuda_bindings/AGENTS.md, cuda_bindings/CLAUDE.md, cuda_core/AGENTS.md, cuda_core/CLAUDE.md, cuda_pathfinder/AGENTS.md, cuda_pathfinder/CLAUDE.md, cuda_python/AGENTS.md, cuda_python/CLAUDE.md |
| agent_instruction_max_bytes | 17,215 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — cuda_bindings/docs/Makefile, cuda_core/docs/Makefile, cuda_pathfinder/docs/Makefile, cuda_python/docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — ruff.toml |
| 11/11 | Static type checking — cuda_core/cuda/core/py.typed |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | cuda_bindings/docs/Makefile, cuda_core/docs/Makefile, cuda_pathfinder/docs/Makefile, cuda_python/docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | cuda_core/cuda/core/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Cython with type-check config (cuda_core/cuda/core/py.typed) |
| 54.1/55 | Manageable file sizes — 5/317 source files over 60KB |
Inputs used
| primary_language | Cython |
| largest_source_bytes | 103,852 |
| source_files_sampled | 317 |
| oversized_source_files | 5 |
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 |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
3,316GitHub stars
64contributors
829commits, last 12 months
0days since last push
83releases
3bus factor
202open issues
PyPIpackage ecosystems
Data collection warnings
- Could not fetch pypi package 'cuda-python-test-helpers' from its registry
More detail
OpenSSF Scorecard 7.0 / 10
7.0aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 4 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 39 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 7 | SAST | SAST tool detected but not run on all commits |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | cuda-pathfinder | >=1.4.2 | cuda_bindings/pyproject.toml |
| PyPI | cuda-pathfinder | >=1.4.2 | cuda_core/pyproject.toml |
| PyPI | numpy | — | cuda_core/pyproject.toml |
| PyPI | backports.strenum | — | cuda_core/pyproject.toml |
All dependencies 21
Full resolved dependency set from the GitHub dependency graph: 2 direct and 19 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | cuda-pathfinder | — | direct |
| PyPI | numpy | — | direct |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | cuda-bindings | — | indirect |
| PyPI | cuda-toolkit | — | indirect |
| PyPI | cython | — | indirect |
| PyPI | ml-dtypes | — | indirect |
| PyPI | nvidia-cudla | — | indirect |
| PyPI | nvidia-nvshmem-cu12 | — | indirect |
| PyPI | nvidia-nvshmem-cu13 | — | indirect |
| PyPI | psutil | 7.2.2 | indirect |
| PyPI | pyglet | 2.1.14 | indirect |
| PyPI | pytest | 9.1.0 | indirect |
| PyPI | pytest-benchmark | 5.2.3 | indirect |
| PyPI | pytest-mock | 3.15.1 | indirect |
| PyPI | pytest-randomly | 4.1.0 | indirect |
| PyPI | pytest-repeat | 0.9.4 | indirect |
| PyPI | pytest-rerunfailures | 16.3 | indirect |
| PyPI | pytest-timeout | 2.4.0 | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | setuptools-scm | — | indirect |
Raw JSON report machine-readable
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],
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{
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{
"key": "owner_reach",
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{
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{
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},
{
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]
},
{
"key": "package_maintenance",
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"components": [
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{
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{
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{
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],
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{
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{
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},
{
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{
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{
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},
{
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{
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{
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{
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{
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{
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{
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]
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{
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"components": [
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},
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],
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"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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.