Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 00:18 UTC

dosisod / refurb

A tool for refurbishing and modernizing Python codebases

PythonGPL-3.0★ 2,534 stars⑂ 64 forkssince Jul 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

dosisod/refurb holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (82/100) and lowest on Vitality (55/100). It was last updated 16 days ago. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Logan HuntPersonal account
90 followers97 public repossince May 2018@Cicada-Software

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
PyPIrefurb2.3.170,53144200 days ago

Metrics by category

Vitality

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

55Moderate · 21% of overall
How it's scored
28.8/36Push recency — last push 16 days ago
2.8/36Commit cadence — 4/52 weeks with commits
9.4/18Commit volume — 10 commits in the last year
4/10OpenSSF Scorecard: Maintained — 1 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year10
human_commit_share1
days_since_last_push16
active_weeks_last_year4
How it's scored
27/27Ships releases — 37 releases published
16.2/36Release recency — latest release 200 days ago
19.8/27Release cadence — a release every ~96.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count37
latest_release_tagv2.3.1
releases_from_tagsno
days_since_latest_release200
mean_days_between_releases96.5
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?

69Good · 17% of overall
How it's scored
55.2/60Stars — 2,534 stars
15/25Forks — 64 forks
6.4/15Watchers — 15 watchers
Inputs used
forks64
stars2,534
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
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
How it's scored
64.6/80Monthly downloads — 70,531 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrefurb
dependents—
ecosystemspypi
total_downloads—
monthly_downloads70,531
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?

60Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.5/22.5Commit distribution — top contributor authored 93% of commits
13.5/13.5Contributor breadth — 19 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.932
How it's scored
30/42Issue resolution — 71% of issues closed
24.1/30PR acceptance — 207/258 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 8/28 approved changesets -- score normalized to 2
Inputs used
merged_prs207
open_issues36
closed_issues90
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.714
closed_unmerged_prs51
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
14.1/25Owner reach — 90 followers of dosisod
25/25Track record — 97 public repos, account ~8 yr old
Inputs used
followers90
owner_typeUser
is_verified—
owner_logindosisod
public_repos97
account_age_days3,069
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 200 days ago
20/20Version history — 44 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrefurb
ecosystemspypi
any_deprecatedno
min_days_since_publish200

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 8 out of 10 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicscli, mypy, python, python310, testing, gplv3, python311, python312
has_wikiyes
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?

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 8 out of 10 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 8/28 approved changesets -- score normalized to 2
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
3/7.5Maintained — 1 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 4
0/5Packaging — no data
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages6
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:refurb@2.3.1 runtime dependency closure — what installing the published package pulls in — 6 packages. 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.

62Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
17.6/40Legible commit history — 33 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.33
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
11/11Static type checking — refurb/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsrefurb/py.typed
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (refurb/py.typed)
55/55Manageable file sizes — 0/254 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes40,536
source_files_sampled254
oversized_source_files0

Key facts

2,534GitHub stars
19contributors
10commits, last 12 months
16days since last push
37releases
1bus factor
36open 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 ★ / 64 ⇿
0Stars
64Forks
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.

0132538506362102022-092024-102026-10
Major 1Minor 31Patch 5

Each point covers 4 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-10-21 00:18 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests8 out of 10 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 8/28 approved changesets -- score normalized to 2
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained1 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPImypy>=1.10.0,!=1.11.0pyproject.toml
PyPItomli^2.0.1pyproject.toml
All dependencies 21

Full resolved dependency set from the GitHub dependency graph: 3 direct and 18 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImypy—direct
PyPImypy1.15.0direct
PyPItomli—direct
PyPIblack—indirect
PyPIblack24.10.0indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.8.0indirect
PyPIfastapi0.115.5indirect
PyPIiniconfig2.1.0indirect
PyPIisort—indirect
PyPIisort6.0.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpathspec0.12.1indirect
PyPIplatformdirs4.3.7indirect
PyPIpluggy1.5.0indirect
PyPIpytest—indirect
PyPIpytest8.3.5indirect
PyPIpytest-cov6.1.1indirect
PyPIruff0.11.6indirect
PyPItypos1.31.1indirect
Dependency advisories 0

Installing pypi:refurb@2.3.1 pulls in 6 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

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.