Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 07:29 UTC

Yelp / detect-secrets

An enterprise friendly way of detecting and preventing secrets in code.

PythonApache-2.0★ 4,629 stars⑂ 565 forkssince Dec 2017View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

Yelp/detect-secrets holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Community & Adoption (92/100) and lowest on Vitality (25/100). It was last updated 147 days ago. 2 contributors account for most of its recent work.

69
overall / 100
Good

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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

Yelp.comOrganization · verified domain
443 followers102 public repossince Jan 2009

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdetect_secrets1.5.08,416,60438843 days agosecret-managementpre-commitsecurityentropy-checks

Metrics by category

Vitality

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

25At Risk · 21% of overall

Development activity

13Critical
How it's scored
9.9/36Push recency — last push 147 days ago
0.7/36Commit cadence — 1/52 weeks with commits
2.7/18Commit volume — 1 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year1
human_commit_share0.7
days_since_last_push147
active_weeks_last_year1

Release discipline

44Weak
How it's scored
27/27Ships releases — 9 releases published
0/36Release recency — latest release 843 days ago
12.6/27Release cadence — a release every ~174.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv1.5.0
releases_from_tagsno
days_since_latest_release843
mean_days_between_releases174.6
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?

92Excellent · 17% of overall

Popularity & adoption

92Excellent
How it's scored
59.5/60Stars — 4,629 stars
22.9/25Forks — 565 forks
9.3/15Watchers — 48 watchers
Inputs used
forks565
stars4,629
watchers48
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 8,416,604 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdetect_secrets
dependents—
ecosystemspypi
total_downloads—
monthly_downloads8,416,604
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?

71Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.8/22.5Commit distribution — top contributor authored 43% of commits
13.5/13.5Contributor breadth — 69 contributors
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled69
top_contributor_share0.433

Issue & PR responsiveness

61Moderate
How it's scored
29.9/42Issue resolution — 71% of issues closed
20.7/30PR acceptance — 387/562 decided PRs merged
0/13Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 6/8 approved changesets -- score normalized to 7
Inputs used
merged_prs387
open_issues99
closed_issues246
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d2
issue_closed_ratio0.713
closed_unmerged_prs175
first_time_authors_30d2
first_time_prs_merged_30d0
first_time_prs_decided_30d2

Ownership & stewardship

94Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
19/25Owner reach — 443 followers of Yelp
25/25Track record — 102 public repos, account ~17 yr old
Inputs used
followers443
owner_typeOrganization
is_verifiedyes
owner_loginYelp
public_repos102
account_age_days6,424

Package maintenance

69Good
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 843 days ago
20/20Version history — 38 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdetect_secrets
ecosystemspypi
any_deprecatedno
min_days_since_publish843

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
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?

50Moderate · 16% of overall

Security posture

38Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 6/8 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 19 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 13 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.8
Excluded from scoring (no data or not applicable): Packaging, 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages6
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:detect_secrets@1.5.0 runtime dependency closure — what installing the published package pulls in — 6 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.

62Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
39.6/40Legible commit history — 52 of 70 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.743
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

70Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — detect_secrets/py.typed, mypy.ini
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 30 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsdetect_secrets/py.typed, mypy.ini
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.3

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (detect_secrets/py.typed, mypy.ini)
55/55Manageable file sizes — 0/165 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes15,468
source_files_sampled165
oversized_source_files0

Key facts

4,629GitHub stars
69contributors
1commits, last 12 months
147days since last push
9releases
2bus factor
99open 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 ★ / 565 ⇿
0Stars
565Forks
9Releases

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.

0100200300400500476112018-042022-062026-08
Major 0Minor 6Patch 3

Each point covers 8 days.

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-08-28 07:28 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 16 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 6/8 approved changesets -- score normalized to 7
10Contributorsproject has 19 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities13 existing vulnerabilities detected
All dependencies 55

Full resolved dependency set from the GitHub dependency graph: 0 direct and 55 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs23.2.0indirect
PyPIbackports-entry-points-selectable1.3.0indirect
PyPIcertifi2024.7.4indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.3.2indirect
PyPIcoverage—indirect
PyPIcoverage7.5.3indirect
PyPIdistlib0.3.8indirect
PyPIfilelock3.16.1indirect
PyPIflake87.1.1indirect
PyPIgibberish-detector—indirect
PyPIgibberish-detector0.1.1indirect
PyPIidentify2.5.36indirect
PyPIidna3.7indirect
PyPIiniconfig2.0.0indirect
PyPImccabe0.7.0indirect
PyPImonotonic—indirect
PyPImonotonic1.6indirect
PyPImypy—indirect
PyPImypy0.971indirect
PyPImypy-extensions1.0.0indirect
PyPInodeenv1.9.1indirect
PyPIpackaging24.1indirect
PyPIplatformdirs4.3.6indirect
PyPIpluggy1.5.0indirect
PyPIpre-commit—indirect
PyPIpre-commit4.0.1indirect
PyPIpy1.11.0indirect
PyPIpyahocorasick—indirect
PyPIpyahocorasick2.1.0indirect
PyPIpycodestyle2.12.1indirect
PyPIpyflakes3.2.0indirect
PyPIpyparsing3.1.2indirect
PyPIpytest—indirect
PyPIpytest7.4.3indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.1indirect
PyPIrequests—indirect
PyPIrequests2.32.3indirect
PyPIresponses—indirect
PyPIresponses0.25.3indirect
PyPIsix1.16.0indirect
PyPItoml0.10.2indirect
PyPItox—indirect
PyPItox4.23.2indirect
PyPItox-pip-extensions—indirect
PyPItox-pip-extensions1.6.0indirect
PyPItypes-pyyaml6.0.12.12indirect
PyPItypes-requests2.31.0.20240106indirect
PyPItyping-extensions4.12.2indirect
PyPIunidiff—indirect
PyPIunidiff0.7.5indirect
PyPIurllib32.2.2indirect
PyPIvirtualenv20.26.6indirect
PyPIzipp3.19.2indirect
Dependency advisories 0

Installing pypi:detect_secrets@1.5.0 pulls in 6 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

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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.