Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 05:50 UTC

awslabs / ferret-scan

Find and redact sensitive data before it leaks — a fast, offline CLI and Go library that detects PII, secrets, and credentials in files and streams, scores them with context-aware confidence, and redacts them format-preserving. Nothing leaves your host.

GoApache-2.0★ 87 stars⑂ 4 forkssince Oct 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

awslabs/ferret-scan holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (62/100). It was last updated today. A single contributor accounts for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Amazon Web Services - LabsOrganization · verified domain
11,541 followers1,031 public repossince Jan 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
Gogithub.com/awslabs/ferret-scan/v2v2.4.4-191 day ago
PyPIferret-scan2.4.46,344551 day ago

Metrics by category

Vitality

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

90Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
25.6/36Commit cadence37/52 weeks with commits
18/18Commit volume863 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year863
human_commit_share0.9
days_since_last_push0
active_weeks_last_year37
How it's scored
27/27Ships releases89 releases published
36/36Release recencylatest release 1 days ago
27/27Release cadencea release every ~3.8 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count89
latest_release_tagv2.4.4
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases3.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

62Moderate · 17% of overall
How it's scored
31.4/60Stars87 stars
4/25Forks4 forks
0/15Watchers0 watchers
Inputs used
forks4
stars87
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
50.7/80Monthly downloads6,344 downloads/month across go, pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesgithub.com/awslabs/ferret-scan/v2, ferret-scan
dependents
ecosystemsgo, pypi
total_downloads
monthly_downloads6,344
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?

76Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
6.9/22.5Commit distributiontop contributor authored 69% of commits
4.1/13.5Contributor breadth3 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.694
How it's scored
40/42Issue resolution95% of issues closed
28.5/30PR acceptance436/459 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs436
open_issues9
closed_issues179
prs_merged_7d29
prs_decided_7d34
prs_merged_30d50
prs_decided_30d55
issue_closed_ratio0.952
closed_unmerged_prs23
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 backingorganization-owned
20/20Verified domain
25/25Owner reach11,541 followers of awslabs
25/25Track record1,031 public repos, account ~13 yr old
Inputs used
followers11,541
owner_typeOrganization
is_verifiedyes
owner_loginawslabs
public_repos1,031
account_age_days4,983

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on go, pypi
35/35Publish recencylatest publish 1 days ago
20/20Version history55 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesgithub.com/awslabs/ferret-scan/v2, ferret-scan
ecosystemsgo, pypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows10 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://www.ferretscan.com
10/10Repository description
10/10Topics20 topics
10/10Wiki
Inputs used
topicsanonymization, cli, data-loss-prevention, data-masking, data-redaction, devsecops, dlp, gdpr, go, personally-identifiable-information, pii, pii-detection, precommit, privacy, redaction, secrets, secrets-detection, security-tools, sensitive-data, personal-health-information
has_wikiyes
homepagehttps://www.ferretscan.com
docs_sitehttps://www.ferretscan.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall
How it's scored
6.8/7.5Binary-Artifactsbinaries present in source code
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
3/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.9

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages5
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:ferret-scan@2.4.4 runtime dependency closure — what installing the published package pulls in — 5 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.

76Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history90 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, examples/Makefile, python-package/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingGo (statically typed)
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance6 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum
has_dockerfileyes
typed_languageyes
bootstrap_filesMakefile, examples/Makefile, python-package/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifestsgo.mod
dependency_bot_commit_share0.06
How it's scored
45/45Type-checkable codeGo (statically typed)
54/55Manageable file sizes15/801 source files over 60KB
Inputs used
primary_languageGo
largest_source_bytes192,114
source_files_sampled801
oversized_source_files15
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
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

87GitHub stars
3contributors
863commits, last 12 months
0days since last push
89releases
1bus factor
9open issues
Go, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'ferret-scan-hooks' from its registry

More detail

Star and fork history 0 ★ / 4 ⇿
0Stars
4Forks
31Releases

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.

1223344412025-122026-042026-08
Major 1Minor 10Patch 20
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 · 2026-09-10 05:49 UTC

9Binary-Artifactsbinaries present in source code
3Branch-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
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
Gogithub.com/fatih/colorv1.19.0go.mod
Gogithub.com/ledongthuc/pdfv0.0.0-20250511090121-5959a4027728go.mod
Gogithub.com/pdfcpu/pdfcpuv0.15.0go.mod
Gogithub.com/richardlehane/mscfbv1.0.8go.mod
Gogithub.com/richardlehane/msolepsv1.0.6go.mod
Gogithub.com/rwcarlsen/goexifv0.0.0-20190401172101-9e8deecbddbdgo.mod
Gogithub.com/sabhiram/go-gitignorev0.0.0-20210923224102-525f6e181f06go.mod
Gogolang.org/x/termv0.46.0go.mod
Gogopkg.in/yaml.v3v3.0.1go.mod
PyPIrequests>=2.25.0python-package/pyproject.toml
All dependencies 22

Full resolved dependency set from the GitHub dependency graph: 10 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Gogithub.com/fatih/colorv1.19.0direct
Gogithub.com/ledongthuc/pdfv0.0.0-20250511090121-5959a4027728direct
Gogithub.com/pdfcpu/pdfcpuv0.15.0direct
Gogithub.com/richardlehane/mscfbv1.0.8direct
Gogithub.com/richardlehane/msolepsv1.0.6direct
Gogithub.com/rwcarlsen/goexifv0.0.0-20190401172101-9e8deecbddbddirect
Gogithub.com/sabhiram/go-gitignorev0.0.0-20210923224102-525f6e181f06direct
Gogolang.org/x/termv0.46.0direct
Gogopkg.in/yaml.v3v3.0.1direct
PyPIrequestsdirect
Gogithub.com/clipperhouse/uax29/v2v2.7.0indirect
Gogithub.com/hhrutter/tiffv1.0.6indirect
Gogithub.com/mattn/go-colorablev0.1.15indirect
Gogithub.com/mattn/go-isattyv0.0.24indirect
Gogithub.com/mattn/go-runewidthv0.0.29indirect
Gogo.yaml.in/yaml/v3v3.0.5indirect
Gogolang.org/x/cryptov0.57.0indirect
Gogolang.org/x/imagev0.45.0indirect
Gogolang.org/x/sysv0.48.0indirect
Gogolang.org/x/textv0.42.0indirect
PyPIsetuptoolsindirect
PyPIsetuptools-scmindirect
Dependency advisories 0

Installing pypi:ferret-scan@2.4.4 pulls in 5 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

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 statisticsGo, PyPI.