Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-03 14:55 UTC

dvershinin / lastversion

Find the latest release version of an arbitrary project

PythonBSD-2-Clause★ 462 stars⑂ 35 forkssince May 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

dvershinin/lastversion holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (56/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Danila VershininPersonal account
0 followers292 public repossince Apr 2010@GetPageSpeed

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
PyPIlastversion3.6.1824,1841180 days agoversionreleaselateststablepypigithubgitlabbitbucketmercurialhgwordpress

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
14.5/36Commit cadence — 21/52 weeks with commits
18/18Commit volume — 119 commits in the last year
10/10OpenSSF Scorecard: Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year119
human_commit_share0.91
days_since_last_push0
active_weeks_last_year21

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~22.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv3.6.18
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases22.4
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?

65Good · 17% of overall
How it's scored
43.2/60Stars — 462 stars
12.8/25Forks — 35 forks
5.3/15Watchers — 10 watchers
Inputs used
forks35
stars462
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-2-Clause)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapp.codacy.com, badge.fury.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
58.4/80Monthly downloads — 24,184 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslastversion
dependents—
ecosystemspypi
total_downloads—
monthly_downloads24,184
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?

56Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1/22.5Commit distribution — top contributor authored 96% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled13
top_contributor_share0.956
How it's scored
40.6/42Issue resolution — 97% of issues closed
11.9/30PR acceptance — 42/106 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0
Inputs used
merged_prs42
open_issues4
closed_issues114
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.966
closed_unmerged_prs64
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
0/25Owner reach — 0 followers of dvershinin
25/25Track record — 292 public repos, account ~16 yr old
Inputs used
followers0
owner_typeUser
is_verified—
owner_logindvershinin
public_repos292
account_age_days6,007
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 0 days ago
20/20Version history — 118 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslastversion
ecosystemspypi
any_deprecatedno
min_days_since_publish0

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 — setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://lastversion.getpagespeed.com
10/10Repository description
10/10Topics — 13 topics
10/10Wiki
Inputs used
topicsgithub, api, cmd, shell, python, python3, github-api, pypi, lastversion, linux, formal-releases, version, versions
has_wikiyes
homepagehttps://lastversion.getpagespeed.com
docs_sitehttps://lastversion.getpagespeed.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 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 — 3 out of 3 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 0/27 approved changesets -- score normalized to 0
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 — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Branch-Protection, 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.

73Good · 4% of overall
How it's scored
45/45Agent instructions — .cursor/rules/00-maintenance.mdc, .cursor/rules/12-python.mdc, .cursor/rules/50-docstrings.mdc, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 77 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.846
agent_instruction_files.cursor/rules/00-maintenance.mdc, .cursor/rules/12-python.mdc, .cursor/rules/50-docstrings.mdc, CLAUDE.md
agent_instruction_max_bytes4,549
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — setup.cfg ([flake8])
0/11Static type checking
10/10Reproducible environment — Dockerfile
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
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
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 — 0/50 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes38,996
source_files_sampled50
oversized_source_files0

Key facts

462GitHub stars
13contributors
119commits, last 12 months
0days since last push
100releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:lastversion@3.6.18; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 35 ⇿
0Stars
35Forks
92Releases

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.

01325383452019-092023-012026-04
Major 2Minor 15Patch 75

Each point covers 7 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-10-03 14:54 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-Tests3 out of 3 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 0/27 approved changesets -- score normalized to 0
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
10Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
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
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 23

Full resolved dependency set from the GitHub dependency graph: 0 direct and 23 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIappdirs—indirect
PyPIbeautifulsoup4—indirect
PyPIcachecontrol—indirect
PyPIdistro—indirect
PyPIfeedparser—indirect
PyPIflake8—indirect
PyPIflake8-bugbear—indirect
PyPImarkdown—indirect
PyPImarkdown-include—indirect
PyPImkdocs—indirect
PyPImkdocs-material—indirect
PyPImkdocs-redirects—indirect
PyPImkdocstrings—indirect
PyPIpackaging—indirect
PyPIpymdown-extensions—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-xdist—indirect
PyPIpython-dateutil—indirect
PyPIpyyaml—indirect
PyPIrequests—indirect
PyPItqdm—indirect
PyPIurllib3—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.