Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-04 16:20 UTC

earwig / mwparserfromhell

A Python parser for MediaWiki wikicode

Python · CMIT★ 894 stars⑂ 86 forkssince May 2012View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

earwig/mwparserfromhell holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Sustainability & Governance (54/100). It was last updated 7 days ago. A single contributor accounts for most of its recent work.

69
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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

Ben KurtovicPersonal account
139 followers29 public repossince Feb 2011

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImwparserfromhell0.7.2-26399 days agomwparserfromhellwikipediawikimediawikiwikicodewikitext

Metrics by category

Vitality

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

54Moderate · 21% of overall
How it's scored
36/36Push recencylast push 7 days ago
4.8/36Commit cadence7/52 weeks with commits
10.3/18Commit volume13 commits in the last year
4/10OpenSSF Scorecard: Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year13
human_commit_share0.94
days_since_last_push7
active_weeks_last_year7
How it's scored
27/27Ships releases26 releases published
7.2/36Release recencylatest release 399 days ago
12.6/27Release cadencea release every ~248.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count26
latest_release_tagv0.7.2
releases_from_tagsno
days_since_latest_release399
mean_days_between_releases248.8
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?

62Moderate · 17% of overall
How it's scored
47.9/60Stars894 stars
16.1/25Forks86 forks
8.4/15Watchers33 watchers
Inputs used
forks86
stars894
watchers33
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_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

54Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2/22.5Commit distributiontop contributor authored 91% of commits
13.5/13.5Contributor breadth25 contributors
10/10OpenSSF Scorecard: Contributorsproject has 28 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled25
top_contributor_share0.912
How it's scored
29.8/42Issue resolution71% of issues closed
24/30PR acceptance52/65 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 2/24 approved changesets -- score normalized to 0
Inputs used
merged_prs52
open_issues81
closed_issues198
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.71
closed_unmerged_prs13
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
15.4/25Owner reach139 followers of earwig
22.8/25Track record29 public repos, account ~15 yr old
Inputs used
followers139
owner_typeUser
is_verified
owner_loginearwig
public_repos29
account_age_days5,639
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 399 days ago
20/20Version history26 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmwparserfromhell
ecosystemspypi
any_deprecatedno
min_days_since_publish399

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests3 out of 8 merged PRs checked by a CI test -- score normalized to 3
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://mwparserfromhell.readthedocs.io/
10/10Repository description
10/10Topics4 topics
0/10Wiki
Inputs used
topicspython, parser, mediawiki, wikipedia
has_wikino
homepagehttps://mwparserfromhell.readthedocs.io/
docs_sitehttps://mwparserfromhell.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0.8/2.5CI-Tests3 out of 8 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 2/24 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 28 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
3/7.5Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not 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_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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_packages36
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 36 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.

56Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
8.5/40Legible commit history15 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.16
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsrc/mwparserfromhell/py.typed
10/10Reproducible environmentlockfile
2/10Demonstrated agent practice1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance6 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/mwparserfromhell/py.typed
agent_commit_share0.01
toolchain_manifests
dependency_bot_commit_share0.06
How it's scored
27/45Type-checkable codePython with type-check config (src/mwparserfromhell/py.typed)
53.5/55Manageable file sizes2/73 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,796
source_files_sampled73
oversized_source_files2

Key facts

894GitHub stars
25contributors
13commits, last 12 months
7days since last push
26releases
1bus factor
81open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 86 ⇿
0Stars
86Forks
26Releases

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.

0204060801008632012-122019-092026-06
Major 0Minor 1Patch 19

Each point covers 13 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-08-04 16:20 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests3 out of 8 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/24 approved changesets -- score normalized to 0
10Contributorsproject has 28 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 36

Full resolved dependency set from the GitHub dependency graph: 0 direct and 36 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.2.25indirect
PyPIcharset-normalizer3.4.6indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIidna3.15indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPImarkupsafe3.0.3indirect
PyPIpackaging26.0indirect
PyPIpluggy1.6.0indirect
PyPIpsutil7.2.2indirect
PyPIpygments2.20.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.0.0indirect
PyPIrequests2.33.0indirect
PyPIroman-numerals4.1.0indirect
PyPIsetuptools83.0.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.0indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 36 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 v0.30.0 — full methodology · metrics wiki.

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