Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 14:21 UTC

mesonbuild / meson

The Meson Build System

Python · MesonApache-2.0★ 6,615 stars⑂ 1,935 forkssince May 2014View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

mesonbuild/meson holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Vitality (99/100) and lowest on Security (47/100). It was last updated today. 3 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 75% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

The Meson Build SystemOrganization · verified domain
223 followers176 public repossince May 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImeson1.12.017,451,05317816 days agomesonmesonbuildbuild-systemcmake

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 recencylast push 0 days ago
36/36Commit cadence52/52 weeks with commits
18/18Commit volume1,525 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,525
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

98Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 16 days ago
27/27Release cadencea release every ~14.9 days
8/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tag1.12.0
releases_from_tagsno
days_since_latest_release16
mean_days_between_releases14.9

Community & Adoption

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

88Excellent · 17% of overall
How it's scored
60/60Stars6,615 stars
25/25Forks1,935 forks
11.3/15Watchers110 watchers
Inputs used
forks1,935
stars6,615
watchers110
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, dev.azure.com, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads17,451,053 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmeson
dependents
ecosystemspypi
total_downloads
monthly_downloads17,451,053
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?

84Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16.6/22.5Commit distributiontop contributor authored 26% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 90 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.264
How it's scored
31/42Issue resolution74% of issues closed
25.6/30PR acceptance7,117/8,356 decided PRs merged
10.8/13Newcomer PR acceptance5/6 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 8/17 approved changesets -- score normalized to 4
Inputs used
merged_prs7,117
open_issues1,749
closed_issues4,911
prs_merged_7d16
prs_decided_7d29
prs_merged_30d34
prs_decided_30d57
issue_closed_ratio0.737
closed_unmerged_prs1,239
first_time_authors_30d6
first_time_prs_merged_30d5
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
16.9/25Owner reach223 followers of mesonbuild
25/25Track record176 public repos, account ~11 yr old
Inputs used
followers223
owner_typeOrganization
is_verifiedyes
owner_loginmesonbuild
public_repos176
account_age_days4,115

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 16 days ago
20/20Version history178 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmeson
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows13 workflow(s)
24/24Tests present
16/16Linter config.flake8, .pylintrc, clippy.toml
0/9.6Pre-commit hooks
6.4/6.4.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_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://mesonbuild.com
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttp://mesonbuild.com
docs_sitehttp://mesonbuild.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 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
3/7.5Code-ReviewFound 8/17 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 90 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 11 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
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
6/7.5Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.5
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier75
security_posture_after_multiplier41
security_posture_before_jurisdiction55
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 75% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages12
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 1 resolved dependencies against OSV. 12 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.

59Moderate · 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 history85 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.85
agent_instruction_files
agent_instruction_max_bytes
How it's scored
12.6/18One-command bootstraptest cases/failing/135 cargo toml error/subprojects/foo-0-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/bar-0.1-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/common-0-rs/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config.flake8, .pylintrc, clippy.toml
11/11Static type checking.mypy.ini
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs.mypy.ini
agent_commit_share0
toolchain_manifeststest cases/failing/135 cargo toml error/subprojects/foo-0-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/bar-0.1-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/common-0-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/foo-0-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/libname-1-rs/Cargo.toml, test cases/rust/22 cargo subproject/subprojects/unixdep-0.1-rs/Cargo.toml, test cases/rust/26 cargo system deps/subprojects/sub-1-rs/Cargo.toml, test cases/rust/32 rust.workspace package/Cargo.toml, test cases/rust/32 rust.workspace package/subprojects/answer-2.1/Cargo.toml, test cases/rust/32 rust.workspace package/subprojects/hello-1.0/Cargo.toml, test cases/rust/33 cargo workspace/subprojects/foo/Cargo.toml, test cases/rust/33 cargo workspace/subprojects/foo/src/foo/Cargo.toml, test cases/rust/33 cargo workspace/subprojects/foo/src/member1/Cargo.toml, test cases/rust/33 cargo workspace/subprojects/foo/subprojects/member2-1.0/Cargo.toml, test cases/rust/34 rust.workspace workspace/Cargo.toml, test cases/rust/34 rust.workspace workspace/another/Cargo.toml, test cases/rust/34 rust.workspace workspace/more/Cargo.toml, test cases/rust/34 rust.workspace workspace/subprojects/answer-2.1/Cargo.toml, test cases/rust/34 rust.workspace workspace/subprojects/hello-1.0/Cargo.toml, test cases/rust/35 cargo multiple versions/subprojects/foo-1-rs/Cargo.toml, test cases/rust/35 cargo multiple versions/subprojects/foo-2-rs/Cargo.toml, test cases/rust/35 cargo multiple versions/subprojects/main/Cargo.toml, test cases/rust/40 cargo dep multiple version/Cargo.toml, test cases/rust/40 cargo dep multiple version/subprojects/answer-2.1/Cargo.toml, test cases/rust/40 cargo dep multiple version/subprojects/hello-3.0/Cargo.toml, test cases/rust/43 extra_members/Cargo.toml, test cases/rust/43 extra_members/gAmma/Cargo.toml, test cases/rust/43 extra_members/subdir/alpha/Cargo.toml, test cases/rust/43 extra_members/subdir/beta/Cargo.toml
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (.mypy.ini)
54.5/55Manageable file sizes19/2,177 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes272,186
source_files_sampled2,177
oversized_source_files19
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)test cases/frameworks/5 protocol buffers/asubdir/defs.proto, test cases/frameworks/5 protocol buffers/defs.proto, test cases/frameworks/5 protocol buffers/withpath/com/mesonbuild/simple.proto, test cases/frameworks/5 protocol buffers/withpath/com/mesonbuild/subsite/complex.proto
0/20MCP servernot applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filestest cases/frameworks/5 protocol buffers/asubdir/defs.proto, test cases/frameworks/5 protocol buffers/defs.proto, test cases/frameworks/5 protocol buffers/withpath/com/mesonbuild/simple.proto, test cases/frameworks/5 protocol buffers/withpath/com/mesonbuild/subsite/complex.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

6,615GitHub stars
100contributors
1,525commits, last 12 months
0days since last push
100releases
3bus factor
1,749open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 34 authors (cap 12)

More detail

Star and fork history 0 ★ / 1,935 ⇿
0Stars
1,935Forks
100Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

5001,0001,5002,0001,935112021-092024-032026-08
Major 1Minor 17Patch 42

Each point covers 5 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-08-27 14:20 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
4Code-ReviewFound 8/17 approved changesets -- score normalized to 4
10Contributorsproject has 90 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 11 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not 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
All dependencies 13

Full resolved dependency set from the GitHub dependency graph: 0 direct and 13 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.iobarindirect
crates.iobar0.1indirect
crates.iocommonindirect
crates.iofooindirect
crates.iohelloindirect
crates.iolibnameindirect
crates.ionotfoundindirect
crates.iosystem-depsindirect
crates.iounixdepindirect
PyPImypyindirect
PyPIninjaindirect
PyPIsetuptoolsindirect
PyPItqdmindirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 1 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 12 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 statisticsPyPI.