Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-20 20:30 UTC

opensanctions / yente

API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.

PythonMIT★ 158 stars⑂ 63 forkssince Jan 2022View on GitHub ↗
KindLibraryNetwork serviceCommand-line toolhow this is determined

opensanctions/yente holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (98/100) and lowest on Community & Adoption (52/100). It was last updated today. 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

OpenSanctionsOrganization
228 followers34 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIyente5.5.0-4627 days ago

Metrics by category

Vitality

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

98Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
33.2/36Commit cadence48/52 weeks with commits
18/18Commit volume640 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year640
human_commit_share
days_since_last_push0
active_weeks_last_year48

Release discipline

100Exceptional
How it's scored
27/27Ships releases42 releases published
36/36Release recencylatest release 27 days ago
27/27Release cadencea release every ~42.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count42
latest_release_tagv5.5.0
releases_from_tagsno
days_since_latest_release27
mean_days_between_releases42.6
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?

52Moderate · 17% of overall
How it's scored
35.6/60Stars158 stars
14.9/25Forks63 forks
2.7/15Watchers4 watchers
Inputs used
forks63
stars158
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

67Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11.1/22.5Commit distributiontop contributor authored 51% of commits
13.5/13.5Contributor breadth16 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled16
top_contributor_share0.507
How it's scored
29.1/42Issue resolution69% of issues closed
15.4/30PR acceptance555/1,081 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/12 approved changesets -- score normalized to 0
Inputs used
merged_prs555
open_issues37
closed_issues84
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.694
closed_unmerged_prs526
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
17/25Owner reach228 followers of opensanctions
21.5/25Track record34 public repos, account ~5 yr old
Inputs used
followers228
owner_typeOrganization
is_verified
owner_loginopensanctions
public_repos34
account_age_days1,876
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 27 days ago
20/20Version history46 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesyente
ecosystemspypi
any_deprecatedno
min_days_since_publish27

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://yente.followthemoney.tech/
10/10Repository description
10/10Topics6 topics
0/10Wiki
Inputs used
topicsopensanctions, sanctions, kyc, aml, ofac, sanction-lists
has_wikino
homepagehttps://yente.followthemoney.tech/
docs_sitehttps://yente.followthemoney.tech/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests13 out of 13 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
0/7.5Code-ReviewFound 1/12 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 7 contributing companies or organizations
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 13 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.
How it's scored
14/35Direct dependencies free of known advisories1 affected: cryptography 48.0.0 (high 7.5)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages26
unassessed_packages10
affected_by_severityhigh 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 26 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.

75Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes285
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile, contrib/validation_report/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingyente/py.typed
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, contrib/validation_report/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsyente/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (yente/py.typed)
55/55Manageable file sizes0/75 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes17,852
source_files_sampled75
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

158GitHub stars
16contributors
640commits, last 12 months
0days since last push
42releases
1bus factor
37open issues
PyPIpackage ecosystems

More detail

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 · 2026-07-20 20:29 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-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/12 approved changesets -- score normalized to 0
10Contributorsproject has 7 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 13 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 30
RegistryPackageVersion constraintManifest
PyPIelasticsearch== 9.4.1pyproject.toml
PyPIopensearch-py== 3.2.0pyproject.toml
PyPIuvicorn== 0.49.0pyproject.toml
PyPIhttpx== 0.28.1pyproject.toml
PyPIaiohttp== 3.14.1pyproject.toml
PyPIboto3~= 1.37pyproject.toml
PyPIfastapi== 0.136.3pyproject.toml
PyPIpython-multipart== 0.0.32pyproject.toml
PyPIemail-validator== 2.3.0pyproject.toml
PyPIstructlog== 26.1.0pyproject.toml
PyPIpyicu== 2.16.2pyproject.toml
PyPIpydanticpyproject.toml
PyPIanyio== 4.14.0pyproject.toml
PyPIorjson== 3.11.9pyproject.toml
PyPItext-unidecode== 1.3pyproject.toml
PyPIclick>= 8.2,< 8.5pyproject.toml
PyPInormality== 3.1.0pyproject.toml
PyPIcountrynames== 1.17.0pyproject.toml
PyPIcryptography== 48.0.0pyproject.toml
PyPIfollowthemoney== 4.9.2pyproject.toml
PyPIfingerprints== 1.3.1pyproject.toml
PyPInomenklatura== 4.10.0pyproject.toml
PyPIrigour== 2.1.2pyproject.toml
PyPIasyncstdlib== 3.14.0pyproject.toml
PyPIaiocron== 2.1pyproject.toml
PyPIaiocsv== 1.4.1pyproject.toml
PyPIaiofiles== 25.1.0pyproject.toml
PyPIrichpyproject.toml
PyPIopentelemetry-distropyproject.toml
PyPIopentelemetry-instrumentation-fastapipyproject.toml
All dependencies 36

Full resolved dependency set from the GitHub dependency graph: 26 direct and 10 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiocron2.1direct
PyPIaiocsv1.4.1direct
PyPIaiofiles25.1.0direct
PyPIaiohttp3.14.1direct
PyPIanyio4.14.0direct
PyPIasyncstdlib3.14.0direct
PyPIboto3direct
PyPIclickdirect
PyPIcountrynames1.17.0direct
PyPIcryptography48.0.0direct
PyPIelasticsearch9.4.1direct
PyPIemail-validator2.3.0direct
PyPIfastapi0.136.3direct
PyPIfingerprints1.3.1direct
PyPIfollowthemoney4.9.2direct
PyPIhttpx0.28.1direct
PyPInomenklatura4.10.0direct
PyPInormality3.1.0direct
PyPIopensearch-py3.2.0direct
PyPIorjson3.11.9direct
PyPIpyicu2.16.2direct
PyPIpython-multipart0.0.32direct
PyPIrigour2.1.2direct
PyPIstructlog26.1.0direct
PyPItext-unidecode1.3direct
PyPIuvicorn0.49.0direct
PyPIboto3-stubsindirect
PyPIbump2version1.0.1indirect
PyPIflake8indirect
PyPImypyindirect
PyPIpipindirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncioindirect
PyPIpytest-covindirect
PyPIpytest-httpxindirect
PyPItypes-aiofilesindirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 26 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 1 are direct. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
cryptography48.0.0directhigh148.0.1

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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.