Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:27 UTC

aboutcode-org / license-expression

Utility library to parse, normalize and compare License expressions for Python using a boolean logic engine. For expressions using SPDX or any other license id scheme.

PythonCustom license★ 73 stars⑂ 30 forkssince Aug 2016View on GitHub ↗

aboutcode-org/license-expression holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on AI Readiness (42/100). It was last updated 51 days ago. A single contributor accounts for most of its recent work.

77
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.

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

Ownership

AboutCodeOrganization
258 followers148 public repossince Nov 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlicense-expression30.4.4-44359 days agoopen-sourcelicense-expressionlicensespdxbooleanparse-expressionnormalize-expressioncompare-expressionlicence

Metrics by category

Vitality

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

55Moderate · 21% of overall
How it's scored
18/36Push recencylast push 51 days ago
7.6/36Commit cadence11/52 weeks with commits
13.5/18Commit volume31 commits in the last year
10/10OpenSSF Scorecard: Maintained11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year31
human_commit_share
days_since_last_push51
active_weeks_last_year11
How it's scored
27/27Ships releases11 releases published
16.2/36Release recencylatest release 359 days ago
19.8/27Release cadencea release every ~87.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count11
latest_release_tagv30.4.4
releases_from_tagsno
days_since_latest_release359
mean_days_between_releases87.6

Community & Adoption

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

46Weak · 17% of overall
How it's scored
30.1/60Stars73 stars
12.2/25Forks30 forks
6/15Watchers13 watchers
Inputs used
forks30
stars73
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
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?

72Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.3/22.5Commit distributiontop contributor authored 63% of commits
13.5/13.5Contributor breadth30 contributors
10/10OpenSSF Scorecard: Contributorsproject has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled30
top_contributor_share0.629
How it's scored
27.8/42Issue resolution66% of issues closed
27.5/30PR acceptance56/61 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 5/6 approved changesets -- score normalized to 8
Inputs used
merged_prs56
open_issues23
closed_issues45
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.662
closed_unmerged_prs5
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
17.4/25Owner reach258 followers of aboutcode-org
22.3/25Track record148 public repos, account ~4 yr old
Inputs used
followers258
owner_typeOrganization
is_verified
owner_loginaboutcode-org
public_repos148
account_age_days1,695
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 359 days ago
20/20Version history44 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslicense-expression
ecosystemspypi
any_deprecatedno
min_days_since_publish359

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests5 out of 6 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://aboutcode.org
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicslicensing, boolean-expression, license-expression, spdx, spdx-license, python
has_wikiyes
homepagehttp://aboutcode.org
docs_sitehttp://aboutcode.org
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
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2/2.5CI-Tests5 out of 6 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 5/6 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 12 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
3.5/5SASTSAST tool is not run on all commits -- score normalized to 7
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.2
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
46.3/55Manageable file sizes3/19 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes108,241
source_files_sampled19
oversized_source_files3

Key facts

73GitHub stars
30contributors
31commits, last 12 months
51days since last push
11releases
1bus factor
23open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 · 2026-07-17 00:27 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
8CI-Tests5 out of 6 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 5/6 approved changesets -- score normalized to 8
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
7SASTSAST tool is not run on all commits -- score normalized to 7
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIboolean.py>= 4.0setup.cfg
All dependencies 24

Full resolved dependency set from the GitHub dependency graph: 1 direct and 23 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboolean-pydirect
PyPIaboutcode-toolkitindirect
PyPIattrsindirect
PyPIbuildindirect
PyPIclickindirect
PyPIcommoncodeindirect
PyPIdoc8indirect
PyPIpackversindirect
PyPIpipindirect
PyPIpytestindirect
PyPIpytest-xdistindirect
PyPIrequestsindirect
PyPIruffindirect
PyPIsaneyamlindirect
PyPIsetuptoolsindirect
PyPIsphinxindirect
PyPIsphinx-autobuildindirect
PyPIsphinx-copybuttonindirect
PyPIsphinx-reredirectsindirect
PyPIsphinx-rtd-dark-modeindirect
PyPIsphinx-rtd-themeindirect
PyPIsphinxcontrib-apidocindirect
PyPItwineindirect
PyPIwheelindirect
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 v0.11.0 — full methodology · metrics wiki.

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