Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-16 12:58 UTC

uxlfoundation / oneDAL

oneAPI Data Analytics Library (oneDAL)

C++Apache-2.0★ 653 stars⑂ 228 forkssince Mar 2016View on GitHub ↗

uxlfoundation/oneDAL holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (100/100) and lowest on Security (47/100). It was last updated today. 10 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

339 followers23 public repossince Sep 2023

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

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 315 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year315
human_commit_share0.7
days_since_last_push0
active_weeks_last_year51
How it's scored
27/27Ships releases — 59 releases published
27/36Release recency — latest release 128 days ago
19.8/27Release cadence — a release every ~45.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count59
latest_release_tag2026.1.0
releases_from_tagsno
days_since_latest_release128
mean_days_between_releases45.9
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?

82Excellent · 17% of overall
How it's scored
45.7/60Stars — 653 stars
19.6/25Forks — 228 forks
9/15Watchers — 43 watchers
Inputs used
forks228
stars653
watchers43
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_servicesapi.securityscorecards.dev, badgen.net, dev.azure.com, shields.io, www.bestpractices.dev
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

79Good · 23% of overall
How it's scored
54/54Bus factor — 10 contributor(s) cover half of all commits
20.7/22.5Commit distribution — top contributor authored 8% of commits
13.5/13.5Contributor breadth — 88 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor10
contributors_sampled88
top_contributor_share0.081
How it's scored
33.2/42Issue resolution — 79% of issues closed
24.3/30PR acceptance — 2,944/3,637 decided PRs merged
0/13Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs2,944
open_issues37
closed_issues140
prs_merged_7d12
prs_decided_7d22
prs_merged_30d25
prs_decided_30d48
issue_closed_ratio0.791
closed_unmerged_prs693
first_time_authors_30d2
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.2/25Owner reach — 339 followers of uxlfoundation
16.2/25Track record — 23 public repos, account ~3 yr old
Inputs used
followers339
owner_typeOrganization
is_verifiedno
owner_loginuxlfoundation
public_repos23
account_age_days1,130

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 18 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://uxlfoundation.github.io/oneDAL/
10/10Repository description
10/10Topics — 14 topics
10/10Wiki
Inputs used
topicsonedal, data-analysis, oneapi, machine-learning, machine-learning-algorithms, hacktoberfest, swrepo, ai-machine-learning, big-data, analytics, ai-training, ai-inference, cpp, data-science
has_wikiyes
homepagehttp://uxlfoundation.github.io/oneDAL/
docs_sitehttp://uxlfoundation.github.io/oneDAL/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 16% of overall
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 — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 7 contributing companies or organizations
0/10Dangerous-Workflow — dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.9
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier34
security_posture_before_jurisdiction69
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages40
unassessed_packages1
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 40 resolved dependencies against OSV. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

91Excellent · 4% of overall
How it's scored
45/45Agent instructions — .ci/AGENTS.md, .github/AGENTS.md, AGENTS.md, cpp/AGENTS.md, cpp/daal/AGENTS.md, cpp/oneapi/AGENTS.md, deploy/AGENTS.md, dev/AGENTS.md, dev/bazel/AGENTS.md, dev/make/AGENTS.md, docs/AGENTS.md, examples/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 70 of 70 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.ci/AGENTS.md, .github/AGENTS.md, AGENTS.md, cpp/AGENTS.md, cpp/daal/AGENTS.md, cpp/oneapi/AGENTS.md, deploy/AGENTS.md, dev/AGENTS.md, dev/bazel/AGENTS.md, dev/make/AGENTS.md, docs/AGENTS.md, examples/AGENTS.md
agent_instruction_max_bytes5,678
How it's scored
18/18One-command bootstrap — docs/Makefile, makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — C++ (statically typed)
0/10Reproducible environment
10/10Demonstrated agent practice — 14 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 30 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageyes
bootstrap_filesdocs/Makefile, makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.14
toolchain_manifests—
dependency_bot_commit_share0.3
How it's scored
45/45Type-checkable code — C++ (statically typed)
54.9/55Manageable file sizes — 7/2,961 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes1,976,538
source_files_sampled2,961
oversized_source_files7
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, samples
Inputs used
example_dirsexamples, 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

653GitHub stars
88contributors
315commits, last 12 months
0days since last push
59releases
10bus factor
37open 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 ★ / 228 ⇿
0Stars
228Forks
58Releases

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.

0408012016020024022672016-042021-072026-10
Major 4Minor 21Patch 6

Each point covers 10 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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).Scorecard v5.5.0 · 2026-10-16 12:57 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 7 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 41

Full resolved dependency set from the GitHub dependency graph: 0 direct and 41 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.7.22indirect
PyPIchardet7.6.0indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIdefusedxml0.7.1indirect
PyPIdocutils—indirect
PyPIidna3.19indirect
PyPIimagesize2.0.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIimportlib-resources7.1.0indirect
PyPIjinja23.1.6indirect
PyPIlxml6.1.2indirect
PyPImarkupsafe3.0.3indirect
PyPIpackaging26.3indirect
PyPIpydata-sphinx-theme0.20.0indirect
PyPIpygments2.21.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytz2026.3.post1indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve3.0.2indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-book-theme1.4.0indirect
PyPIsphinx-notfound-page1.1.0indirect
PyPIsphinx-prompt1.10.2indirect
PyPIsphinx-substitution-extensions2026.8.13.1indirect
PyPIsphinx-tabs3.5.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.8.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 40 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 statistics.