Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 16:05 UTC

probabl-ai / skore

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

PythonMIT★ 674 stars⑂ 141 forkssince Jun 2024View on GitHub ↗
KindCommand-line toolLibraryPluginTerminal interfacehow this is determined

probabl-ai/skore holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (70/100). It was last updated today. 3 contributors account for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

:probabl.Organization
191 followers44 public repossince Jun 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIskore0.28.05,914550 days ago

Metrics by category

Vitality

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

99Exceptional · 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 — 700 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year700
human_commit_share0.86
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 92 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~13.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count92
latest_release_tagskore/0.28.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases13.1
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?

70Good · 17% of overall
How it's scored
45.9/60Stars — 674 stars
17.9/25Forks — 141 forks
4.7/15Watchers — 8 watchers
Inputs used
forks141
stars674
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateyes
How it's scored
50.3/80Monthly downloads — 5,914 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesskore
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,914
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?

81Excellent · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.9/22.5Commit distribution — top contributor authored 25% of commits
13.5/13.5Contributor breadth — 64 contributors
10/10OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled64
top_contributor_share0.25
How it's scored
37.6/42Issue resolution — 90% of issues closed
25.2/30PR acceptance — 1,675/1,992 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 21/26 approved changesets -- score normalized to 8
Inputs used
merged_prs1,675
open_issues130
closed_issues1,121
prs_merged_7d17
prs_decided_7d20
prs_merged_30d32
prs_decided_30d35
issue_closed_ratio0.896
closed_unmerged_prs317
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.4/25Owner reach — 191 followers of probabl-ai
18.8/25Track record — 44 public repos, account ~3 yr old
Inputs used
followers191
owner_typeOrganization
is_verifiedno
owner_loginprobabl-ai
public_repos44
account_age_days1,230

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 55 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesskore
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml, skore/pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
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://docs.skore.probabl.ai
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsdata-science, machine-learning, data-analysis, python, scikit-learn, data-visualization, workflow
has_wikino
homepagehttps://docs.skore.probabl.ai
docs_sitehttps://docs.skore.probabl.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

82Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 21/26 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 27 contributing companies or organizations
10/10Dangerous-Workflow — no 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 22 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
1/5SAST — SAST tool is not run on all commits -- score normalized to 2
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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_packages211
unassessed_packages10
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 211 resolved dependencies against OSV. 10 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.

79Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 86 of 86 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
agent_instruction_max_bytes2,063
How it's scored
18/18One-command bootstrap — Makefile, sphinx/Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml, skore/pyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 14 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 14 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, sphinx/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.14
toolchain_manifests—
dependency_bot_commit_share0.14
How it's scored
0/45Type-checkable code — Python without a type-check config
54.9/55Manageable file sizes — 1/439 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,075
source_files_sampled439
oversized_source_files1
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

674GitHub stars
64contributors
700commits, last 12 months
0days since last push
92releases
3bus factor
130open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:skore@0.28.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 141 ⇿
0Stars
141Forks
88Releases

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.

0255075100125150141102024-102025-102026-09
Major 0Minor 6Patch 8

Each point covers 2 days.

OpenSSF Scorecard 7.8 / 10
7.8aggregate

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 · 2026-10-14 16:02 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 21/26 approved changesets -- score normalized to 8
10Contributorsproject has 27 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 22 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
2SASTSAST tool is not run on all commits -- score normalized to 2
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIclick—skore/pyproject.toml
PyPIjinja2—skore/pyproject.toml
PyPIjoblib>=1.4skore/pyproject.toml
PyPImatplotlib—skore/pyproject.toml
PyPInarwhals>=2.0.1skore/pyproject.toml
PyPInumpy—skore/pyproject.toml
PyPIpackaging>=24.2skore/pyproject.toml
PyPIpandas—skore/pyproject.toml
PyPIplotly—skore/pyproject.toml
PyPIrich-click>=1.9skore/pyproject.toml
PyPIrich>=14.2skore/pyproject.toml
PyPIscikit-learn—skore/pyproject.toml
PyPIseaborn—skore/pyproject.toml
PyPIskore-skills—skore/pyproject.toml
PyPIskrub>=0.10skore/pyproject.toml
PyPItextual—skore/pyproject.toml
PyPIuuid6>=2025.0.0skore/pyproject.toml
All dependencies 221

Full resolved dependency set from the GitHub dependency graph: 30 direct and 191 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.5.0direct
PyPIjinja23.1.6direct
PyPIjoblib—direct
PyPIjoblib1.6.0direct
PyPImatplotlib3.11.2direct
PyPInarwhals—direct
PyPInarwhals2.26.0direct
PyPInumpy2.4.6direct
PyPInumpy2.5.3direct
PyPIpackaging—direct
PyPIpackaging26.3direct
PyPIpandas2.3.3direct
PyPIpandas3.0.6direct
PyPIplotly—direct
PyPIplotly6.9.0direct
PyPIplotly7.1.0direct
PyPIrich—direct
PyPIrich15.0.0direct
PyPIrich-click—direct
PyPIrich-click1.9.9direct
PyPIscikit-learn1.6.1direct
PyPIscikit-learn1.7.2direct
PyPIscikit-learn1.8.0direct
PyPIscikit-learn1.9.1direct
PyPIseaborn0.13.2direct
PyPIskore-skills0.8.0direct
PyPIskrub—direct
PyPIskrub0.11.0direct
PyPItextual8.2.8direct
PyPIuuid62025.0.1direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.7.1indirect
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PyPIaiosignal1.4.0indirect
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PyPIbuild1.6.1indirect
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PyPIscipy1.18.1indirect
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PyPIsix1.17.0indirect
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PyPIsphinx—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autosummary-accessors2025.3.1indirect
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PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-gallery0.22.1indirect
PyPIsphinx-issues6.0.0indirect
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
PyPIsqlalchemy2.1.1indirect
PyPIsqlparse0.6.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.7.0indirect
PyPIthreadpoolctl3.7.0indirect
PyPItomli2.4.1indirect
PyPItraitlets5.16.1indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.4indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIvirtualenv21.14.2indirect
PyPIwcwidth0.9.1indirect
PyPIwerkzeug3.1.9indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIxdoctest1.3.2indirect
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PyPIyarl1.25.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 211 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 10 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 — PyPI.