Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 10:52 UTC

Kaggle / kaggle-cli

Official Kaggle CLI

PythonApache-2.0★ 7,613 stars⑂ 1,433 forkssince Jan 2018View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

Kaggle/kaggle-cli holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Vitality (93/100) and lowest on AI Readiness (77/100). 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

KaggleOrganization
2,382 followers15 public repossince Jan 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIkaggle2.2.4652,7909289 days agoapikaggle

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 254 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year254
human_commit_share0.98
days_since_last_push0
active_weeks_last_year44
How it's scored
27/27Ships releases — 16 releases published
36/36Release recency — latest release 89 days ago
19.8/27Release cadence — a release every ~59 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count16
latest_release_tagv2.2.4
releases_from_tagsno
days_since_latest_release89
mean_days_between_releases59
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?

88Excellent · 17% of overall
How it's scored
60/60Stars — 7,613 stars
25/25Forks — 1,433 forks
12.9/15Watchers — 209 watchers
Inputs used
forks1,433
stars7,613
watchers209
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
77.5/80Monthly downloads — 652,790 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageskaggle
dependents—
ecosystemspypi
total_downloads—
monthly_downloads652,790
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
13.5/22.5Commit distribution — top contributor authored 40% of commits
13.5/13.5Contributor breadth — 71 contributors
10/10OpenSSF Scorecard: Contributors — project has 37 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled71
top_contributor_share0.4
How it's scored
32.3/42Issue resolution — 77% of issues closed
23.8/30PR acceptance — 469/591 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs469
open_issues138
closed_issues462
prs_merged_7d2
prs_decided_7d4
prs_merged_30d7
prs_decided_30d10
issue_closed_ratio0.77
closed_unmerged_prs122
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
24.3/25Owner reach — 2,382 followers of Kaggle
20.8/25Track record — 15 public repos, account ~14 yr old
Inputs used
followers2,382
owner_typeOrganization
is_verifiedno
owner_loginKaggle
public_repos15
account_age_days5,390

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 89 days ago
20/20Version history — 92 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageskaggle
ecosystemspypi
any_deprecatedno
min_days_since_publish89

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black])
0/9.6Pre-commit hooks
0/6.4.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_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
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

Security posture

81Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 37 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 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
1/5SAST — SAST tool is not run on all commits -- score normalized to 2
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate8.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
10.2/25Indirect dependencies free of known advisories — 1 affected: certifi 2026.10.18 (high 7.4)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages31
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:kaggle@2.2.4 runtime dependency closure — what installing the published package pulls in — 31 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.

77Good · 4% of overall
How it's scored
45/45Agent instructions — GEMINI.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 98 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesGEMINI.md
agent_instruction_max_bytes1,601
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black])
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable code — Python without a type-check config
52.9/55Manageable file sizes — 3/77 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes487,549
source_files_sampled77
oversized_source_files3
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 — notebooks
Inputs used
example_dirsnotebooks
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

7,613GitHub stars
71contributors
254commits, last 12 months
0days since last push
16releases
3bus factor
138open 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 ★ / 1,433 ⇿
0Stars
1,433Forks
16Releases

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.

05001,0001,5001,43392019-072023-032026-10
Major 0Minor 1Patch 10

Each point covers 7 days.

OpenSSF Scorecard 8.1 / 10
8.1aggregate

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 · 2026-10-21 10:51 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 37 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 2 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
2SASTSAST tool is not run on all commits -- score normalized to 2
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIbleach—pyproject.toml
PyPIkagglesdk>= 0.1.37, < 1.0pyproject.toml
PyPIpython-slugify—pyproject.toml
PyPIrequests—pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPItqdm—pyproject.toml
PyPIurllib3>= 1.15.1pyproject.toml
PyPIpackaging—pyproject.toml
PyPIprotobuf—pyproject.toml
PyPIjupytext—pyproject.toml
PyPIpython-dotenv—pyproject.toml
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 14 direct and 24 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbleach—direct
PyPIjupytext—direct
PyPIkagglesdk—direct
PyPIpackaging—direct
PyPIpackaging24.2direct
PyPIprotobuf—direct
PyPIpython-dateutil—direct
PyPIpython-dotenv—direct
PyPIpython-slugify—direct
PyPIrequests—direct
PyPIrequests2.33.0direct
PyPItqdm—direct
PyPIurllib3—direct
PyPIurllib32.8.0direct
PyPIcertifi2024.7.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.2.0indirect
PyPIcryptography50.0.0indirect
PyPIdocutils0.20.1indirect
PyPIidna3.15indirect
PyPIimportlib-metadata6.8.0indirect
PyPIjaraco-classes3.3.0indirect
PyPIjeepney0.8.0indirect
PyPIkeyring24.2.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.1.0indirect
PyPInh30.2.14indirect
PyPIpkginfo1.12.0indirect
PyPIpycparser2.21indirect
PyPIpygments2.20.0indirect
PyPIreadme-renderer42.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich13.5.2indirect
PyPIsecretstorage3.3.3indirect
PyPItwine6.0.1indirect
PyPIzipp3.19.1indirect
Dependency advisories 1

Installing pypi:kaggle@2.2.4 pulls in 31 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2026.10.18indirecthigh22026.10.19

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.