Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 01:09 UTC

ewels / rich-click

Format click help output nicely with rich.

PythonMIT★ 816 stars⑂ 50 forkssince Feb 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

ewels/rich-click holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Security (49/100). It was last updated 17 days ago. A single contributor accounts for most of its recent work.

86
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.

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

Ownership

Phil EwelsPersonal account
891 followers171 public repossince Nov 2010@seqeralabs

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 publish
PyPIrich-click1.9.8-6449 days ago

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
28.8/36Push recencylast push 17 days ago
13.2/36Commit cadence19/52 weeks with commits
18/18Commit volume269 commits in the last year
7/10OpenSSF Scorecard: Maintained6 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year269
human_commit_share
days_since_last_push17
active_weeks_last_year19

Release discipline

100Exceptional
How it's scored
27/27Ships releases64 releases published
36/36Release recencylatest release 49 days ago
27/27Release cadencea release every ~26.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count64
latest_release_tagv1.9.8
releases_from_tagsno
days_since_latest_release49
mean_days_between_releases26.2
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?

67Good · 17% of overall
How it's scored
47.2/60Stars816 stars
14.1/25Forks50 forks
3.3/15Watchers5 watchers
Inputs used
forks50
stars816
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
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?

71Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11.2/22.5Commit distributiontop contributor authored 50% of commits
13.5/13.5Contributor breadth30 contributors
10/10OpenSSF Scorecard: Contributorsproject has 28 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled30
top_contributor_share0.504
How it's scored
39.6/42Issue resolution94% of issues closed
27.5/30PR acceptance155/169 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 4/18 approved changesets -- score normalized to 2
Inputs used
merged_prs155
open_issues9
closed_issues146
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.942
closed_unmerged_prs14
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
21.2/25Owner reach891 followers of ewels
25/25Track record171 public repos, account ~15 yr old
Inputs used
followers891
owner_typeUser
is_verified
owner_loginewels
public_repos171
account_age_days5,734
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 49 days ago
20/20Version history64 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesrich-click
ecosystemspypi
any_deprecatedno
min_days_since_publish49

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
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://ewels.github.io/rich-click/
10/10Repository description
10/10Topics9 topics
0/10Wiki
Inputs used
topicscli, click, colored, coloured, help, python, rich, styled, styles
has_wikino
homepagehttps://ewels.github.io/rich-click/
docs_sitehttps://ewels.github.io/rich-click/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

49Weak · 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
2.5/2.5CI-Tests11 out of 11 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
1.5/7.5Code-ReviewFound 4/18 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 28 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
5.2/7.5Maintained6 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 7
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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_aggregate4.9
Excluded from scoring (no data or not applicable): Signed-Releases. 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.

53Moderate · 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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsrc/rich_click/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configssrc/rich_click/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/rich_click/py.typed)
55/55Manageable file sizes0/135 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes49,801
source_files_sampled135
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
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

816GitHub stars
30contributors
269commits, last 12 months
17days since last push
64releases
1bus factor
9open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 01:09 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/18 approved changesets -- score normalized to 2
10Contributorsproject has 28 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
7Maintained6 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 7
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIclick>=8pyproject.toml
PyPIcoloramapyproject.toml
PyPIrich>=12pyproject.toml
PyPItyping-extensions>=4pyproject.toml
All dependencies 26

Full resolved dependency set from the GitHub dependency graph: 2 direct and 24 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclickdirect
PyPIrichdirect
PyPIinline-snapshotindirect
PyPIjsonschemaindirect
PyPImarkdown-includeindirect
PyPImikeindirect
PyPImkdocsindirect
PyPImkdocs-github-admonitions-pluginindirect
PyPImkdocs-glightboxindirect
PyPImkdocs-include-markdown-pluginindirect
PyPImkdocs-materialindirect
PyPImkdocs-material-extensionsindirect
PyPImkdocs-redirectsindirect
PyPImkdocs-rss-pluginindirect
PyPImkdocstringsindirect
PyPImypyindirect
PyPInodeenvindirect
PyPIpackagingindirect
PyPIpre-commitindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIrich-codexindirect
PyPIruffindirect
PyPIsetuptoolsindirect
PyPItyperindirect
PyPItypes-setuptoolsindirect
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.