Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:35 UTC

package-url / packageurl-python

Python implementation of the package url spec. This project is sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase/ , the Google Summer of Code, nexB and other generous sponsors.

PythonCustom license★ 90 stars⑂ 56 forkssince Nov 2017View on GitHub ↗

package-url/packageurl-python holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (74/100) and lowest on Vitality (45/100). It was last updated 127 days ago. 2 contributors account for most of its recent work.

60
overall / 100
Moderate

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.

60
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 57 is calibrated to 60 on the published index scale (record calibration 2026-08-02).

Ownership

Package-URLOrganization
90 followers21 public repossince Nov 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpackageurl-python0.17.6-57234 days agopackageurlpackage-managerpackage-url

Metrics by category

Vitality

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

45Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 127 days ago
6.2/36Commit cadence9/52 weeks with commits
15/18Commit volume46 commits in the last year
2/10OpenSSF Scorecard: Maintained0 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year46
human_commit_share
days_since_last_push127
active_weeks_last_year9
How it's scored
27/27Ships releases39 releases published
16.2/36Release recencylatest release 234 days ago
19.8/27Release cadencea release every ~54.2 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count39
latest_release_tagv0.17.6
releases_from_tagsno
days_since_latest_release234
mean_days_between_releases54.2

Community & Adoption

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

57Moderate · 17% of overall
How it's scored
31.6/60Stars90 stars
14.5/25Forks56 forks
3.9/15Watchers6 watchers
Inputs used
forks56
stars90
watchers6
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
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges
has_contributingyes
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
14.1/22.5Commit distributiontop contributor authored 37% of commits
13.5/13.5Contributor breadth23 contributors
10/10OpenSSF Scorecard: Contributorsproject has 27 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled23
top_contributor_share0.374
How it's scored
22.4/42Issue resolution53% of issues closed
26.7/30PR acceptance98/110 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 5/8 approved changesets -- score normalized to 6
Inputs used
merged_prs98
open_issues50
closed_issues57
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.533
closed_unmerged_prs12
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
14.1/25Owner reach90 followers of package-url
21.8/25Track record21 public repos, account ~8 yr old
Inputs used
followers90
owner_typeOrganization
is_verified
owner_loginpackage-url
public_repos21
account_age_days3,172
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 234 days ago
20/20Version history57 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespackageurl-python
ecosystemspypi
any_deprecatedno
min_days_since_publish234

Engineering Quality

Are baseline engineering and documentation practices in place?

60Moderate · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics5 topics
10/10Wiki
Inputs used
topicspurl, package-url, library, python, hacktoberfest
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-ReviewFound 5/8 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 27 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
1.5/7.5Maintained0 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 2
0/5Packagingno data
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5
Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Packaging. 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.

46Weak · 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
22/22Automated tests
0/11Lint / format config
11/11Static type checkingsrc/packageurl/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configssrc/packageurl/py.typed
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
27/45Type-checkable codePython with type-check config (src/packageurl/py.typed)
55/55Manageable file sizes0/20 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,590
source_files_sampled20
oversized_source_files0

Key facts

90GitHub stars
23contributors
46commits, last 12 months
127days since last push
39releases
2bus factor
50open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 00:33 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
n/aCI-Testsinternal error: internal error: Client.Repositories.ListStatuses: internal error: ListStatuses: Get "https://api.github.com/repos/package-url/packageurl-python/commits/100b947944cf62b2e7da4e615912b556db1563fb/statuses": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: unexpected EOF
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 5/8 approved changesets -- score normalized to 6
10Contributorsproject has 27 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
2Maintained0 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 2
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

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

RegistryPackageVersionRelation
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.