Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-04 17:35 UTC

metabrainz / picard

Picard is a cross-platform music tagger powered by the MusicBrainz database

PythonGPL-2.0★ 5,259 stars⑂ 469 forkssince Aug 2011View on GitHub ↗
KindDesktop applicationCommand-line toolLibraryhow this is determined

metabrainz/picard holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on AI Readiness (69/100). It was last updated today. 2 contributors account for most of its recent work.

98
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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

799 followers196 public repossince Jun 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpicard3.05,232920 days agomusicbrainztaggingaudio

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 4,204 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_year4,204
human_commit_share0.97
days_since_last_push0
active_weeks_last_year52

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 97 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~14.2 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count97
latest_release_tagrelease-3.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases14.2

Community & Adoption

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

88Excellent · 17% of overall
How it's scored
60/60Stars — 5,259 stars
22.3/25Forks — 469 forks
11/15Watchers — 95 watchers
Inputs used
forks469
stars5,259
watchers95
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

100Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesgithub.com
has_pull_request_templateyes
How it's scored
49.6/80Monthly downloads — 5,232 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespicard
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,232
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?

78Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 35 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.378
How it's scored
0/42Issue resolution — no issues or no data
26.9/30PR acceptance — 3,125/3,482 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 9/17 approved changesets -- score normalized to 5
Inputs used
merged_prs3,125
open_issues0
closed_issues0
prs_merged_7d10
prs_decided_7d11
prs_merged_30d53
prs_decided_30d57
issue_closed_ratio—
closed_unmerged_prs357
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
20.9/25Owner reach — 799 followers of metabrainz
25/25Track record — 196 public repos, account ~16 yr old
Inputs used
followers799
owner_typeOrganization
is_verifiedno
owner_loginmetabrainz
public_repos196
account_age_days5,969

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 92 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespicard
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 11 out of 12 merged PRs checked by a CI test -- score normalized to 9
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 site — https://picard.musicbrainz.org
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicspython, musicbrainz, tagger, audio, music-tagger, id3, acoustid, musicbrainz-picard, music, picard
has_wikino
homepagehttps://picard.musicbrainz.org
docs_sitehttps://picard.musicbrainz.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 11 out of 12 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 9/17 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 35 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not 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
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool detected but not run on all commits
4.5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.1

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages77
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 77 resolved dependencies against OSV. 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.

69Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
39/40Legible commit history — 71 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.732
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes16,480
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable code — Python without a type-check config
54.2/55Manageable file sizes — 10/721 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes3,574,545
source_files_sampled721
oversized_source_files10
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — example
Inputs used
example_dirsexample
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

5,259GitHub stars
99contributors
4,204commits, last 12 months
0days since last push
97releases
2bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:picard@3.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 469 ⇿
0Stars
469Forks
96Releases

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.

0100200300400500463102011-092019-032026-09
Major 0Minor 0Patch 0

Each point covers 14 days.

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-10-04 17:35 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests11 out of 12 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 9/17 approved changesets -- score normalized to 5
10Contributorsproject has 35 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 0 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
9SASTSAST tool detected but not run on all commits
9Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPIcomtypes>=1.4.14pyproject.toml
PyPIdiscid~=1.0pyproject.toml
PyPIMarkdown~=3.2pyproject.toml
PyPImutagen~=1.45pyproject.toml
PyPIPyJWT~=2.0pyproject.toml
PyPIpyobjc-core>=6.2, <13pyproject.toml
PyPIpyobjc-framework-Cocoa>=6.2, <13pyproject.toml
PyPIpyobjc-framework-MediaPlayer>=6.2, <13pyproject.toml
PyPIPyQt6>=6.6.1pyproject.toml
PyPIpywin32—pyproject.toml
PyPIPyYAML>=5.1, <7pyproject.toml
PyPIcharset-normalizer~=3.3pyproject.toml
PyPIpygit2>=1.18.2, <1.19pyproject.toml
PyPIpygit2~=1.19pyproject.toml
PyPItomli>=2.3.0pyproject.toml
PyPItomlkit>=0.12.4pyproject.toml
All dependencies 77

Full resolved dependency set from the GitHub dependency graph: 17 direct and 60 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcharset-normalizer3.5.2direct
PyPIcomtypes1.4.17direct
PyPIdiscid1.4.2direct
PyPImarkdown3.10.3direct
PyPImarkdown3.11direct
PyPImutagen1.48.1direct
PyPIpygit21.18.2direct
PyPIpygit21.20.1direct
PyPIpyjwt2.15.1direct
PyPIpyobjc-core12.2.2direct
PyPIpyobjc-framework-cocoa12.2.2direct
PyPIpyobjc-framework-mediaplayer12.2.2direct
PyPIpyqt66.11.0direct
PyPIpywin32312direct
PyPIpyyaml6.0.3direct
PyPItomli2.4.1direct
PyPItomlkit0.15.1direct
PyPIaltgraph0.17.5indirect
PyPIapplication-file-scanner0.6.4indirect
PyPIapplication-properties0.9.3indirect
PyPIargcomplete3.7.2indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcolumnar1.4.1indirect
PyPIcoverage7.16.2indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock4.0.10indirect
PyPIidentify2.6.20indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPImacholib1.16.4indirect
PyPInodeenv1.11.0indirect
PyPIopencc1.4.2indirect
PyPIpackaging26.3indirect
PyPIpefile2024.8.26indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpy-walk0.3.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.21.0indirect
PyPIpyinstaller6.22.3indirect
PyPIpyinstaller-hooks-contrib2026.8indirect
PyPIpyjson52.0.1indirect
PyPIpymarkdownlnt0.9.40indirect
PyPIpyobjc-framework-avfoundation12.2.2indirect
PyPIpyobjc-framework-coreaudio12.2.2indirect
PyPIpyobjc-framework-coremedia12.2.2indirect
PyPIpyobjc-framework-quartz12.2.2indirect
PyPIpyqt6-qt66.11.2indirect
PyPIpyqt6-sip13.13.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-randomly5.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.6.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyxdg0.28indirect
PyPIrequests2.34.2indirect
PyPIruff0.16.10indirect
PyPIsetuptools84.0.0indirect
PyPIshtab1.12.1indirect
PyPIsix1.17.0indirect
PyPIsly0.5indirect
PyPItoolz1.1.0indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.8.0indirect
PyPIvirtualenv21.14.5indirect
PyPIwcwidth0.9.1indirect
PyPIwlc2.2.1indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 77 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 statistics — PyPI.