Public record
Software health reportschema 0.31.0 · metrics 2.5.0 · 2026-08-09 05:19 UTC

Samsung / CredSweeper

CredSweeper is a tool to detect credentials in any directories or files. CredSweeper could help users to detect unwanted exposure of credentials (such as token, passwords, api keys etc.) in advance. By scanning lines, filtering, and using AI model as option, CredSweeper reports lines with possible credentials, where the line is, and expected type o

PythonMIT★ 215 stars⑂ 51 forkssince Oct 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#credentials#git#password#scanner#security#token#tool

Samsung/CredSweeper holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Community & Adoption (57/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

91
overall / 100
Excellent

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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

SamsungOrganization
1,625 followers184 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIcredsweeper1.17.3-984 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 4 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 117 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year117
human_commit_share0.89
days_since_last_push4
active_weeks_last_year44

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.17.3
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases9
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?

57Moderate · 17% of overall

Popularity & adoption

57Moderate
How it's scored
37.8/60Stars — 215 stars
14.2/25Forks — 51 forks
4.7/15Watchers — 8 watchers
Inputs used
forks51
stars215
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesapi.securityscorecards.dev, bestpractices.coreinfrastructure.org, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

70Good · 23% of overall

Maintainer resilience (bus factor)

35Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.8/22.5Commit distribution — top contributor authored 70% of commits
13.5/13.5Contributor breadth — 21 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled21
top_contributor_share0.698

Issue & PR responsiveness

78Good
How it's scored
41.1/42Issue resolution — 98% of issues closed
24.9/30PR acceptance — 694/836 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/26 approved changesets -- score normalized to 1
Inputs used
merged_prs694
open_issues1
closed_issues44
prs_merged_7d5
prs_decided_7d6
prs_merged_30d11
prs_decided_30d12
issue_closed_ratio0.978
closed_unmerged_prs142
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.

Ownership & stewardship

78Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
23.1/25Owner reach — 1,625 followers of Samsung
25/25Track record — 184 public repos, account ~12 yr old
Inputs used
followers1,625
owner_typeOrganization
is_verified—
owner_loginSamsung
public_repos184
account_age_days4,617

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 98 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescredsweeper
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc
9.6/9.6Pre-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_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicscredentials, git, password, scanner, security, token, tool
has_wikiyes
homepage—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
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
1.2/2.5CII-Best-Practices — badge detected: Passing
0.8/7.5Code-Review — Found 3/26 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
0.5/5SAST — SAST tool is not run on all commits -- score normalized to 1
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
0/7.5Vulnerabilities — 29 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): branch_protection, 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_packages46
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:credsweeper@1.17.3 runtime dependency closure — what installing the published package pulls in — 46 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.

60Moderate · 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)
40/40Legible commit history — 89 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc
11/11Static type checking — .mypy.ini, credsweeper/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 11 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs.mypy.ini, credsweeper/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.11

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (.mypy.ini, credsweeper/py.typed)
54.7/55Manageable file sizes — 2/363 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes169,340
source_files_sampled363
oversized_source_files2

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — samples
Inputs used
example_dirssamples
has_mcp_signalno
api_schema_files—

Key facts

215GitHub stars
21contributors
117commits, last 12 months
4days since last push
100releases
1bus factor
1open 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 ★ / 51 ⇿
0Stars
51Forks
97Releases

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.

01020304050605132021-102024-032026-07
Major 1Minor 17Patch 79

Each point covers 5 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-08-09 05:18 UTC

0Binary-Artifactsbinaries present in source code
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
5CII-Best-Practicesbadge detected: Passing
1Code-ReviewFound 3/26 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
1SASTSAST tool is not run on all commits -- score normalized to 1
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities29 existing vulnerabilities detected
Direct dependencies 28
RegistryPackageVersion constraintManifest
PyPIbase58—pyproject.toml
PyPIbeautifulsoup4>=4.11.0pyproject.toml
PyPIbech32—pyproject.toml
PyPIbrotli—pyproject.toml
PyPIcolorama—pyproject.toml
PyPIcryptography—pyproject.toml
PyPIGitPython—pyproject.toml
PyPIhumanfriendly—pyproject.toml
PyPIlxml—pyproject.toml
PyPInumpy—pyproject.toml
PyPIodfpy—pyproject.toml
PyPIonnxruntime—pyproject.toml
PyPIopenpyxl—pyproject.toml
PyPIpandas—pyproject.toml
PyPIpdfminer.six—pyproject.toml
PyPIpybase62—pyproject.toml
PyPIpyjks—pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPIpython-docx—pyproject.toml
PyPIpython-pptx—pyproject.toml
PyPIPySquashfsImage—pyproject.toml
PyPIPyYAML—pyproject.toml
PyPIpyxlsb—pyproject.toml
PyPIrpmfile—pyproject.toml
PyPIstriprtf—pyproject.toml
PyPIwhatthepatch—pyproject.toml
PyPIxlrd—pyproject.toml
PyPIzstandard—pyproject.toml
All dependencies 70

Full resolved dependency set from the GitHub dependency graph: 30 direct and 40 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbase582.1.1direct
PyPIbeautifulsoup4—direct
PyPIbeautifulsoup44.15.0direct
PyPIbech321.2.0direct
PyPIbrotli1.2.0direct
PyPIcolorama—direct
PyPIcolorama0.4.6direct
PyPIcryptography50.0.0direct
PyPIgitpython3.1.57direct
PyPIhumanfriendly10.0direct
PyPIlxml6.1.1direct
PyPInumpy1.26.4direct
PyPInumpy2.5.0direct
PyPIodfpy1.4.1direct
PyPIonnxruntime1.27.0direct
PyPIopenpyxl3.1.5direct
PyPIpandas3.0.3direct
PyPIpdfminer-six20260107direct
PyPIpybase621.0.0direct
PyPIpyjks20.0.0direct
PyPIpysquashfsimage0.9.0direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpython-docx1.2.0direct
PyPIpython-pptx1.0.2direct
PyPIpyxlsb1.0.10direct
PyPIpyyaml6.0.3direct
PyPIrpmfile2.2.1direct
PyPIstriprtf0.0.32direct
PyPIwhatthepatch1.0.7direct
PyPIxlrd2.0.2direct
PyPIbuild1.5.0indirect
PyPIcoverage—indirect
PyPIdeepdiff—indirect
PyPIflake8—indirect
PyPIh5py3.12.1indirect
PyPIhatchling1.30.1indirect
PyPIhypothesis—indirect
PyPIkeras2.15.0indirect
PyPIkeras-tuner1.4.7indirect
PyPIlxml-stubs—indirect
PyPImatplotlib—indirect
PyPImypy—indirect
PyPImyst-parser4.0.1indirect
PyPIonnx1.17.0indirect
PyPIpandas-stubs—indirect
PyPIprotobuf3.20.3indirect
PyPIpsutil—indirect
PyPIpylint—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-html—indirect
PyPIpytest-random-order—indirect
PyPIscikit-learn1.6.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-rtd-theme3.0.2indirect
PyPItensorflow-cpu2.15.1indirect
PyPItf2onnx1.16.1indirect
PyPItwine6.2.0indirect
PyPItypes-beautifulsoup4—indirect
PyPItypes-colorama—indirect
PyPItypes-humanfriendly—indirect
PyPItypes-lxml—indirect
PyPItypes-pyjks—indirect
PyPItypes-python-dateutil—indirect
PyPItypes-pyyaml—indirect
PyPItypes-regex—indirect
PyPItypes-tensorflow—indirect
PyPItypes-whatthepatch—indirect
PyPIwrapt1.14.1indirect
PyPIyapf—indirect
Dependency advisories 0

Installing pypi:credsweeper@1.17.3 pulls in 46 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

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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 v2.5.0, schema v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.