Public recordExceptional
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 16:09 UTC
NVIDIA / cudf
cuDF - GPU DataFrame Library
NVIDIA/cudf holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (67/100). It was last updated today. 11 contributors account for most of its recent work.
99
overall / 100Software 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.
99
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)
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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).
Ownership
NVIDIA CorporationOrganization · verified domain
30,155 followers803 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 |
|---|---|---|---|---|---|
| Maven | ai.rapids:cudfpoints to another repo — not scored | 26.08.1 | - | 51 | 21 days ago |
| PyPI | cudfpoints to another repo — not scored | 0.6.1.post1 | - | 1 | 2298 days ago |
| PyPI | custreamzpoints to another repo — not scored | 0.0.1 | - | 1 | 2298 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
100
Development activity
100Exceptional
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 36/36 | Commit cadence — 52/52 weeks with commits |
| 18/18 | Commit volume — 3,082 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 3,082 |
| human_commit_share | 0.99 |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 73 releases published |
| 36/36 | Release recency — latest release 22 days ago |
| 27/27 | Release cadence — a release every ~37.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 73 |
| latest_release_tag | v26.08.01 |
| releases_from_tags | no |
| days_since_latest_release | 22 |
| mean_days_between_releases | 37.1 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
88
Popularity & adoption
97Exceptional
How it's scored
| 60/60 | Stars — 9,752 stars |
| 25/25 | Forks — 1,109 forks |
| 12.1/15 | Watchers — 153 watchers |
Inputs used
| forks | 1,109 |
| stars | 9,752 |
| watchers | 153 |
| 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 |
| readme_badges | 0 |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
94
Maintainer resilience (bus factor)
98Exceptional
How it's scored
| 54/54 | Bus factor — 11 contributor(s) cover half of all commits |
| 20.6/22.5 | Commit distribution — top contributor authored 8% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations |
Inputs used
| bus_factor | 11 |
| contributors_sampled | 100 |
| top_contributor_share | 0.083 |
Issue & PR responsiveness
84Excellent
How it's scored
| 35.8/42 | Issue resolution — 85% of issues closed |
| 26.9/30 | PR acceptance — 14,381/16,039 decided PRs merged |
| 6.5/13 | Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 14,381 |
| open_issues | 1,171 |
| closed_issues | 6,794 |
| prs_merged_7d | 44 |
| prs_decided_7d | 53 |
| prs_merged_30d | 45 |
| prs_decided_30d | 54 |
| issue_closed_ratio | 0.853 |
| closed_unmerged_prs | 1,658 |
| first_time_authors_30d | 2 |
| first_time_prs_merged_30d | 1 |
| first_time_prs_decided_30d | 2 |
Ownership & stewardship
100Exceptional
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 20/20 | Verified domain |
| 25/25 | Owner reach — 30,155 followers of NVIDIA |
| 25/25 | Track record — 803 public repos, account ~14 yr old |
Inputs used
| followers | 30,155 |
| owner_type | Organization |
| is_verified | yes |
| owner_login | NVIDIA |
| public_repos | 803 |
| account_age_days | 5,242 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Exceptional
How it's scored
| 24/24 | CI workflows — 16 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — pyproject.toml ([tool.ruff]), python/cudf/pyproject.toml ([tool.ruff]), python/cudf_kafka/pyproject.toml ([tool.ruff]), python/cudf_polars/pyproject.toml ([tool.ruff]), python/cudf_streaming/pyproject.toml ([tool.ruff]), python/custreamz/pyproject.toml ([tool.ruff]), python/dask_cudf/pyproject.toml ([tool.ruff]), python/pylibcudf/pyproject.toml ([tool.ruff]) |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 22 out of 22 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
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://docs.nvidia.com/cudf/ |
| 10/10 | Repository description |
| 10/10 | Topics — 13 topics |
| 0/10 | Wiki |
Inputs used
| topics | gpu, rapids, cudf, arrow, cuda, pandas, dataframe, dask, data-analysis, data-science, pydata, cpp, python |
| has_wiki | no |
| homepage | https://docs.nvidia.com/cudf/ |
| docs_site | https://docs.nvidia.com/cudf/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
67
Security posture
59Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 6.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 22 out of 22 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 16 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 4.5/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 110 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.9 |
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.
Dependency advisories
100Exceptional
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 1 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the maven:ai.rapids:cudf@26.08.1 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.
75
Agent context & guidance
53Moderate
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 15/15 | Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.nvidia.com/llms.txt) |
| 38.2/40 | Legible commit history — 71 of 99 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | yes |
| llms_txt_url | https://docs.nvidia.com/llms.txt |
| legible_history_share | 0.717 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — docs/cudf/Makefile, docs/dask_cudf/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — pyproject.toml ([tool.ruff]), python/cudf/pyproject.toml ([tool.ruff]), python/cudf_kafka/pyproject.toml ([tool.ruff]), python/cudf_polars/pyproject.toml ([tool.ruff]), python/cudf_streaming/pyproject.toml ([tool.ruff]), python/custreamz/pyproject.toml ([tool.ruff]), python/dask_cudf/pyproject.toml ([tool.ruff]), python/pylibcudf/pyproject.toml ([tool.ruff]) |
| 11/11 | Static type checking — python/cudf_polars/cudf_polars/py.typed, python/pylibcudf/pylibcudf/py.typed |
| 10/10 | Reproducible environment — devcontainer, Dockerfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 1/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | yes |
| bootstrap_files | docs/cudf/Makefile, docs/dask_cudf/Makefile |
| has_devcontainer | yes |
| has_linter_config | yes |
| typecheck_configs | python/cudf_polars/cudf_polars/py.typed, python/pylibcudf/pylibcudf/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | java/examples/deployment-modes/pom.xml, java/pom.xml |
| dependency_bot_commit_share | 0 |
Code legibility for models
98Exceptional
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 53.5/55 | Manageable file sizes — 79/2,804 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 793,759 |
| source_files_sampled | 2,804 |
| oversized_source_files | 79 |
Machine-readable interfaces
100Exceptional
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software |
| 0/20 | MCP server — not applicable to this kind of software |
| 40/40 | Runnable examples — examples, notebooks, recipes |
Inputs used
| example_dirs | examples, notebooks, recipes |
| has_mcp_signal | no |
| 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
9,752GitHub stars
100contributors
3,082commits, last 12 months
0days since last push
73releases
11bus factor
1,171open issues
Maven, PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- First-time contributor figures cover 12 of 24 authors (cap 12)
- maven package 'ai.rapids:cudf' points at a different repository (https://github.com/rapidsai/cudf); excluded from ecosystem scoring
- pypi package 'cudf' points at a different repository (https://github.com/rapidsai/dask-cuda); excluded from ecosystem scoring
- Could not fetch pypi package 'libcudf' from its registry
- pypi package 'custreamz' points at a different repository (https://github.com/rapidsai/dask-cuda); excluded from ecosystem scoring
- Could not fetch pypi package 'dask-cudf' from its registry
- Could not fetch pypi package 'pylibcudf' from its registry
- Could not fetch pypi package 'cudf_kafka' from its registry
- Could not fetch pypi package 'cudf-polars' from its registry
- Could not fetch pypi package 'cudf-streaming' from its registry
More detail
Star and fork history 0 ★ / 1,109 ⇿
0Stars
1,109Forks
73Releases
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.
Major 0Minor 36Patch 30
Each point covers 8 days.
OpenSSF Scorecard 5.9 / 10
5.9aggregate
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 |
| 9 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 22 out of 22 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 16 contributing companies or organizations |
| 0 | Dangerous-Workflow | 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 1 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 1 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 6 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 110 existing vulnerabilities detected |
Direct dependencies 61
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| Maven | org.slf4j:slf4j-api | ${slf4j.version} | java/pom.xml |
| Maven | org.apache.groovy:groovy | 4.0.21 | java/pom.xml |
| Maven | org.apache.groovy:groovy-ant | 4.0.21 | java/pom.xml |
| Maven | org.junit.platform:junit-platform-surefire-provider | 1.2.0 | java/pom.xml |
| Maven | org.junit.jupiter:junit-jupiter-engine | 5.4.2 | java/pom.xml |
| Maven | org.apache.maven.surefire:surefire-logger-api | 2.21.0 | java/pom.xml |
| PyPI | cachetools | — | python/cudf/pyproject.toml |
| PyPI | cuda-bindings | >=13.0.2,<14.0 | python/cudf/pyproject.toml |
| PyPI | cupy-cuda13x | >=14.0.1,!=14.1.0 | python/cudf/pyproject.toml |
| PyPI | fsspec | >=0.6.0 | python/cudf/pyproject.toml |
| PyPI | libcudf | ==26.12.*,>=0.0.0a0 | python/cudf/pyproject.toml |
| PyPI | numba-cuda-mlir | >=0.3.0 | python/cudf/pyproject.toml |
| PyPI | numba-cuda | >=0.22.2,<0.31.0 | python/cudf/pyproject.toml |
| PyPI | numba | >=0.60.0,<0.65.0 | python/cudf/pyproject.toml |
| PyPI | numpy | >=2.0,<3.0 | python/cudf/pyproject.toml |
| PyPI | nvtx | >=0.2.1 | python/cudf/pyproject.toml |
| PyPI | packaging | — | python/cudf/pyproject.toml |
| PyPI | pandas | >=3.0.0,<3.1.0 | python/cudf/pyproject.toml |
| PyPI | pyarrow | >=19.0.0 | python/cudf/pyproject.toml |
| PyPI | pylibcudf | ==26.12.*,>=0.0.0a0 | python/cudf/pyproject.toml |
| PyPI | rich | — | python/cudf/pyproject.toml |
| PyPI | rmm | ==26.12.*,>=0.0.0a0 | python/cudf/pyproject.toml |
| PyPI | cudf | ==26.12.*,>=0.0.0a0 | python/cudf_kafka/pyproject.toml |
| PyPI | cuda-bindings | >=13.0.2,<14.0 | python/cudf_polars/pyproject.toml |
| PyPI | cudf-streaming | ==26.12.*,>=0.0.0a0 | python/cudf_polars/pyproject.toml |
| PyPI | kvikio | ==26.12.*,>=0.0.0a0 | python/cudf_polars/pyproject.toml |
| PyPI | nvidia-ml-py | >=12 | python/cudf_polars/pyproject.toml |
| PyPI | packaging | — | python/cudf_polars/pyproject.toml |
| PyPI | polars | >=1.35,<1.45 | python/cudf_polars/pyproject.toml |
| PyPI | pylibcudf | ==26.12.*,>=0.0.0a0 | python/cudf_polars/pyproject.toml |
| PyPI | rapidsmpf | ==26.12.*,>=0.0.0a0 | python/cudf_polars/pyproject.toml |
| PyPI | typing_extensions | >=4.0.0 | python/cudf_polars/pyproject.toml |
| PyPI | libcudf-streaming | ==26.12.*,>=0.0.0a0 | python/cudf_streaming/pyproject.toml |
| PyPI | pylibcudf | ==26.12.*,>=0.0.0a0 | python/cudf_streaming/pyproject.toml |
| PyPI | rapidsmpf | ==26.12.*,>=0.0.0a0 | python/cudf_streaming/pyproject.toml |
| PyPI | rmm | ==26.12.*,>=0.0.0a0 | python/cudf_streaming/pyproject.toml |
| PyPI | confluent-kafka | — | python/custreamz/pyproject.toml |
| PyPI | cudf | ==26.12.*,>=0.0.0a0 | python/custreamz/pyproject.toml |
| PyPI | cudf_kafka | ==26.12.*,>=0.0.0a0 | python/custreamz/pyproject.toml |
| PyPI | streamz | — | python/custreamz/pyproject.toml |
| PyPI | cudf | ==26.12.*,>=0.0.0a0 | python/dask_cudf/pyproject.toml |
| PyPI | cupy-cuda13x | >=14.0.1,!=14.1.0 | python/dask_cudf/pyproject.toml |
| PyPI | fsspec | >=0.6.0 | python/dask_cudf/pyproject.toml |
| PyPI | numpy | >=2.0,<3.0 | python/dask_cudf/pyproject.toml |
| PyPI | nvidia-ml-py | >=12 | python/dask_cudf/pyproject.toml |
| PyPI | pandas | >=3.0.0,<3.1.0 | python/dask_cudf/pyproject.toml |
| PyPI | rapids-dask-dependency | ==26.12.*,>=0.0.0a0 | python/dask_cudf/pyproject.toml |
| PyPI | cuda-pathfinder | — | python/libcudf/pyproject.toml |
| PyPI | cuda-toolkit | ==13.* | python/libcudf/pyproject.toml |
| PyPI | libkvikio | ==26.12.*,>=0.0.0a0 | python/libcudf/pyproject.toml |
| PyPI | librmm | ==26.12.*,>=0.0.0a0 | python/libcudf/pyproject.toml |
| PyPI | nvidia-libnvcomp | ==5.3.0.16 | python/libcudf/pyproject.toml |
| PyPI | nvidia-nvjitlink | >=13.3,<14 | python/libcudf/pyproject.toml |
| PyPI | rapids-logger | ==0.3.* | python/libcudf/pyproject.toml |
| PyPI | libcudf | ==26.12.*,>=0.0.0a0 | python/libcudf_streaming/pyproject.toml |
| PyPI | librapidsmpf | ==26.12.*,>=0.0.0a0 | python/libcudf_streaming/pyproject.toml |
| PyPI | librmm | ==26.12.*,>=0.0.0a0 | python/libcudf_streaming/pyproject.toml |
| PyPI | cuda-bindings | >=13.0.2,<14.0 | python/pylibcudf/pyproject.toml |
| PyPI | libcudf | ==26.12.*,>=0.0.0a0 | python/pylibcudf/pyproject.toml |
| PyPI | nvtx | >=0.2.1 | python/pylibcudf/pyproject.toml |
| PyPI | rmm | ==26.12.*,>=0.0.0a0 | python/pylibcudf/pyproject.toml |
All dependencies 73
Full resolved dependency set from the GitHub dependency graph: 36 direct and 37 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| Maven | org.apache.groovy:groovy | 4.0.21 | direct |
| Maven | org.apache.groovy:groovy-ant | 4.0.21 | direct |
| Maven | org.apache.maven.surefire:surefire-logger-api | 2.21.0 | direct |
| Maven | org.junit.jupiter:junit-jupiter-engine | 5.4.2 | direct |
| Maven | org.junit.platform:junit-platform-surefire-provider | 1.2.0 | direct |
| Maven | org.slf4j:slf4j-api | 1.7.30 | direct |
| PyPI | cuda-bindings | — | direct |
| PyPI | cuda-toolkit | — | direct |
| PyPI | cudf | — | direct |
| PyPI | cudf-kafka | — | direct |
| PyPI | cudf-streaming | — | direct |
| PyPI | cupy-cuda13x | — | direct |
| PyPI | fsspec | — | direct |
| PyPI | kvikio | — | direct |
| PyPI | libcudf | — | direct |
| PyPI | libcudf-streaming | — | direct |
| PyPI | libkvikio | — | direct |
| PyPI | librapidsmpf | — | direct |
| PyPI | librmm | — | direct |
| PyPI | numba | — | direct |
| PyPI | numba-cuda | — | direct |
| PyPI | numba-cuda-mlir | — | direct |
| PyPI | numpy | — | direct |
| PyPI | nvidia-libnvcomp | 5.3.0.16 | direct |
| PyPI | nvidia-ml-py | — | direct |
| PyPI | nvidia-nvjitlink | — | direct |
| PyPI | nvtx | — | direct |
| PyPI | pandas | — | direct |
| PyPI | polars | — | direct |
| PyPI | pyarrow | — | direct |
| PyPI | pylibcudf | — | direct |
| PyPI | rapids-dask-dependency | — | direct |
| PyPI | rapids-logger | — | direct |
| PyPI | rapidsmpf | — | direct |
| PyPI | rmm | — | direct |
| PyPI | typing-extensions | — | direct |
| Maven | ai.rapids:cudf | — | indirect |
| Maven | ai.rapids:cudf-packaged | 26.12.0-SNAPSHOT | indirect |
| Maven | io.netty:netty-buffer | — | indirect |
| Maven | io.netty:netty-common | — | indirect |
| Maven | org.apache.arrow:arrow-vector | 0.15.1 | indirect |
| Maven | org.apache.hadoop:hadoop-common | 3.4.0 | indirect |
| Maven | org.apache.maven.plugins:maven-dependency-plugin | — | indirect |
| Maven | org.apache.maven.plugins:maven-failsafe-plugin | 2.22.0 | indirect |
| Maven | org.apache.maven.plugins:maven-gpg-plugin | 1.5 | indirect |
| Maven | org.apache.maven.plugins:maven-jar-plugin | — | indirect |
| Maven | org.apache.maven.plugins:maven-javadoc-plugin | 2.9.1 | indirect |
| Maven | org.apache.maven.plugins:maven-javadoc-plugin | 3.6.3 | indirect |
| Maven | org.apache.maven.plugins:maven-source-plugin | 2.2.1 | indirect |
| Maven | org.apache.maven.plugins:maven-surefire-plugin | — | indirect |
| Maven | org.apache.parquet:parquet-avro | 1.10.0 | indirect |
| Maven | org.codehaus.gmavenplus:gmavenplus-plugin | — | indirect |
| Maven | org.codehaus.gmavenplus:gmavenplus-plugin | 3.0.0 | indirect |
| Maven | org.junit.jupiter:junit-jupiter-api | 5.4.2 | indirect |
| Maven | org.junit.jupiter:junit-jupiter-params | 5.4.2 | indirect |
| Maven | org.junit.platform:maven-surefire-plugin | 2.22.0 | indirect |
| Maven | org.mockito:mockito-core | 2.25.0 | indirect |
| Maven | org.slf4j:slf4j-simple | 1.7.30 | indirect |
| PyPI | aiobotocore | — | indirect |
| PyPI | boto3 | — | indirect |
| PyPI | botocore | — | indirect |
| PyPI | dask-cuda | — | indirect |
| PyPI | fastavro | — | indirect |
| PyPI | hypothesis | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cases | — | indirect |
| PyPI | pytest-rerunfailures | — | indirect |
| PyPI | rapids-build-backend | — | indirect |
| PyPI | ray | — | indirect |
| PyPI | s3fs | — | indirect |
| PyPI | scikit-build-core | — | indirect |
| PyPI | setuptools | — | indirect |
Dependency advisories 0
Installing maven:ai.rapids:cudf@26.08.1 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.
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 — Maven, PyPI.