Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 06:27 UTC

jquast / wcwidth

Python library that measures the width of strings in a terminal

PythonCustom license★ 465 stars⑂ 75 forkssince Apr 2014View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

jquast/wcwidth holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (81/100) and lowest on AI Readiness (47/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

81
overall / 100
Excellent

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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Jeff QuastPersonal account
221 followers78 public repossince Aug 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
PyPIwcwidth0.8.3-4211 days agocjkcombiningconsoleeastasianemojiemulatorterminalunicodewcswidthwcwidthxterm

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
28.8/36Push recency — last push 8 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 124 commits in the last year
7/10OpenSSF Scorecard: Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year124
human_commit_share0.95
days_since_last_push8
active_weeks_last_year22

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 39 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~24.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count39
latest_release_tag0.8.3
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases24.1
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?

55Moderate · 17% of overall
How it's scored
43.3/60Stars — 465 stars
15.6/25Forks — 75 forks
5.6/15Watchers — 11 watchers
Inputs used
forks75
stars465
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license 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_badges0
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?

66Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.9/22.5Commit distribution — top contributor authored 82% of commits
13.5/13.5Contributor breadth — 19 contributors
10/10OpenSSF Scorecard: Contributors — project has 26 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.825
How it's scored
42/42Issue resolution — 100% of issues closed
22.7/30PR acceptance — 124/164 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs124
open_issues0
closed_issues67
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio1
closed_unmerged_prs40
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
16.9/25Owner reach — 221 followers of jquast
25/25Track record — 78 public repos, account ~15 yr old
Inputs used
followers221
owner_typeUser
is_verified—
owner_loginjquast
public_repos78
account_age_days5,508
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 42 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswcwidth
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 1 topics
0/10Wiki
Inputs used
topicswcwidth
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/28 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 26 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
2.2/2.5License — license file detected
5.2/7.5Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

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
advisories6
affected_packages3
assessed_packages57
unassessed_packages6
affected_by_severitymoderate 2, low 1
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 57 resolved dependencies against OSV. 6 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.

47Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
30.3/40Legible commit history — 54 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.568
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc, tox.ini
11/11Static type checking — wcwidth/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 5 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configswcwidth/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.05
How it's scored
27/45Type-checkable code — Python with type-check config (wcwidth/py.typed)
43.2/55Manageable file sizes — 15/70 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes145,001
source_files_sampled70
oversized_source_files15

Key facts

465GitHub stars
19contributors
124commits, last 12 months
8days since last push
39releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'wcwidth' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 75 ⇿
0Stars
75Forks
37Releases

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.

01325385063757432014-102020-092026-08
Major 0Minor 6Patch 31

Each point covers 11 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-09-09 06:27 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
10CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
10Contributorsproject has 26 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
7Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
All dependencies 63

Full resolved dependency set from the GitHub dependency graph: 0 direct and 63 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIattrs25.3.0indirect
PyPIbabel2.18.0indirect
PyPIblessed—indirect
PyPIcertifi2026.4.22indirect
PyPIcertifi2026.5.20indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.6.1indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIidna3.15indirect
PyPIidna3.16indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPIpackaging25.0indirect
PyPIpackaging26.2indirect
PyPIpluggy1.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpy1.11.0indirect
PyPIpycparser2.23indirect
PyPIpygments2.19.2indirect
PyPIpygments2.20.0indirect
PyPIpytest—indirect
PyPIpytest6.2.5indirect
PyPIpytest8.4.2indirect
PyPIpytest-codspeed5.0.3indirect
PyPIpytest-cov—indirect
PyPIpytest-cov5.0.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.33.1indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx—indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-autodoc-typehints3.10.2indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 57 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 0 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pytest6.2.5indirectmoderate29.0.3
pytest8.4.2indirectmoderate29.0.3
pygments2.19.2indirectlow22.20.0

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.

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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.