Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 21:39 UTC

callowayproject / bump-my-version

A small command line tool to simplify releasing software by updating all version strings in your source code by the correct increment and optionally commit and tag the changes.

PythonMIT★ 625 stars⑂ 43 forkssince Apr 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

callowayproject/bump-my-version holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (59/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

CallowayOrganization
5 followers97 public repossince Jun 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIbump-my-version1.5.11,140,8129235 days agobumpversionreleaseversion

Metrics by category

Vitality

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

86Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 126 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year126
human_commit_share0.85
days_since_last_push1
active_weeks_last_year28
How it's scored
27/27Ships releases — 91 releases published
36/36Release recency — latest release 35 days ago
27/27Release cadence — a release every ~36.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count91
latest_release_tag1.5.1
releases_from_tagsno
days_since_latest_release35
mean_days_between_releases36.3

Community & Adoption

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

82Excellent · 17% of overall
How it's scored
45.3/60Stars — 625 stars
13.5/25Forks — 43 forks
3.3/15Watchers — 5 watchers
Inputs used
forks43
stars625
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

93Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 1,140,812 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbump-my-version
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,140,812
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?

65Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.4/22.5Commit distribution — top contributor authored 94% of commits
13.5/13.5Contributor breadth — 29 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled29
top_contributor_share0.94
How it's scored
37.8/42Issue resolution — 90% of issues closed
28.5/30PR acceptance — 232/244 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/11 approved changesets -- score normalized to 1
Inputs used
merged_prs232
open_issues16
closed_issues142
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.899
closed_unmerged_prs12
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
30/30Ownership backing — organization-owned
0/20Verified domain
5.6/25Owner reach — 5 followers of callowayproject
25/25Track record — 97 public repos, account ~16 yr old
Inputs used
followers5
owner_typeOrganization
is_verifiedno
owner_logincallowayproject
public_repos97
account_age_days5,931

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 35 days ago
20/20Version history — 92 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbump-my-version
ecosystemspypi
any_deprecatedno
min_days_since_publish35

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://callowayproject.github.io/bump-my-version/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsbumpversion, version, versioning, hacktoberfest
has_wikiyes
homepagehttps://callowayproject.github.io/bump-my-version/
docs_sitehttps://callowayproject.github.io/bump-my-version/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.8/2.5CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 2/11 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 4 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 23 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): Branch-Protection. 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_packages25
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:bump-my-version@1.5.1 runtime dependency closure — what installing the published package pulls in — 25 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.

72Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.pydantic.dev/llms.txt)
23.8/40Legible commit history — 38 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.pydantic.dev/llms.txt
legible_history_share0.447
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,460
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 7 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.07
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/88 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes23,796
source_files_sampled88
oversized_source_files0

Key facts

625GitHub stars
29contributors
126commits, last 12 months
1days since last push
91releases
1bus factor
16open 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 ★ / 43 ⇿
0Stars
43Forks
87Releases

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.

010203040504322023-062025-012026-08
Major 1Minor 32Patch 54

Each point covers 3 days.

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 · 2026-09-10 21:39 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
7CI-Tests7 out of 9 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/11 approved changesets -- score normalized to 1
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 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
5SASTSAST tool is not run on all commits -- score normalized to 5
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities23 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.0.0pyproject.toml
PyPIpydantic-settings—pyproject.toml
PyPIquestionary—pyproject.toml
PyPIrich-click—pyproject.toml
PyPIrich—pyproject.toml
PyPItomlkit—pyproject.toml
PyPIwcmatch>=8.5.1pyproject.toml
PyPIhttpx2—pyproject.toml
PyPIclick!=8.4pyproject.toml
All dependencies 169

Full resolved dependency set from the GitHub dependency graph: 13 direct and 156 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.1.8direct
PyPIclick8.5.0direct
PyPIhttpx22.0.0direct
PyPIhttpx22.12.0direct
PyPIpydantic2.13.5direct
PyPIpydantic-settings2.11.0direct
PyPIpydantic-settings2.15.0direct
PyPIquestionary2.1.1direct
PyPIrich15.0.0direct
PyPIrich-click1.9.9direct
PyPItomlkit0.15.1direct
PyPIwcmatch10.1direct
PyPIwcmatch11.0.1direct
PyPIannotated-types0.7.0indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.12.1indirect
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PyPIargopt0.9.1indirect
PyPIbabel2.18.0indirect
PyPIbackrefs6.2indirect
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PyPIbeautifulsoup44.15.0indirect
PyPIboltons26.2.0indirect
PyPIbracex2.6indirect
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PyPIbuild1.4.4indirect
PyPIbuild1.6.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.4.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick-extra9.1.0indirect
PyPIcloup3.1.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
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PyPIcryptography47.0.0indirect
PyPIcryptography50.0.1indirect
PyPIdeepmerge3.0.1indirect
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PyPIexceptiongroup1.3.1indirect
PyPIextra-platforms13.9.0indirect
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PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore22.0.0indirect
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PyPIhttpx2-jsfetch1.0indirect
PyPIidentify2.6.15indirect
PyPIidentify2.6.19indirect
PyPIidna3.19indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
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PyPImarkdown3.9indirect
PyPImarkdown-it-py3.0.0indirect
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PyPImdformat1.0.0indirect
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PyPImkdocs-click0.9.0indirect
PyPImkdocs-drawio1.16.3indirect
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PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-git-authors-plugin0.10.0indirect
PyPImkdocs-git-committers-plugin0.2.3indirect
PyPImkdocs-git-revision-date-localized-plugin1.5.0indirect
PyPImkdocs-git-revision-date-localized-plugin1.5.4indirect
PyPImkdocs-include-markdown-plugin7.3.0indirect
PyPImkdocs-literate-nav0.6.3indirect
PyPImkdocs-material9.7.7indirect
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PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python1.18.2indirect
PyPImkdocstrings-python2.0.8indirect
PyPImore-itertools10.8.0indirect
PyPImore-itertools11.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.3indirect
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PyPIprompt-toolkit3.0.53indirect
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PyPIpydantic-core2.46.5indirect
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PyPIpygments2.21.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions10.21.3indirect
PyPIpymdown-extensions11.0.2indirect
PyPIpynacl1.6.2indirect
PyPIpypng0.20220715.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.4.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-agent-digest0.3.2indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-localserver0.10.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-sugar1.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.6.0indirect
PyPIpython-dotenv1.2.1indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-frontmatter1.2.0indirect
PyPIpython-frontmatter1.3.0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIruamel-yaml0.19.1indirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools84.0.0indirect
PyPIshtab1.12.1indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsoupsieve2.8.4indirect
PyPIsoupsieve2.9.2indirect
PyPItabulate0.10.0indirect
PyPItabulate0.9.0indirect
PyPItermcolor3.1.0indirect
PyPItermcolor3.3.0indirect
PyPItomli2.4.1indirect
PyPItqdm4.70.0indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.9indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.3indirect
PyPIwerkzeug3.1.8indirect
PyPIwheel0.48.0indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:bump-my-version@1.5.1 pulls in 25 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.