Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 09:22 UTC

pypa / virtualenv

Virtual Python Environment builder

PythonMIT★ 5,045 stars⑂ 1,115 forkssince Mar 2011View on GitHub ↗
KindPluginLibraryCommand-line toolhow this is determined

pypa/virtualenv holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (95/100) and lowest on AI Readiness (60/100). It was last updated today. A single contributor accounts for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Python Packaging AuthorityOrganization · verified domain
2,422 followers59 public repossince Mar 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIvirtualenv21.7.10-2800 days agoenvironmentsisolatedvirtual

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 258 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year258
human_commit_share0.62
days_since_last_push0
active_weeks_last_year44
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~5.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tag21.7.10
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases5.3

Community & Adoption

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

95Exceptional · 17% of overall
How it's scored
60/60Stars — 5,045 stars
25/25Forks — 1,115 forks
12.3/15Watchers — 161 watchers
Inputs used
forks1,115
stars5,045
watchers161
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

77Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.8/22.5Commit distribution — top contributor authored 74% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 38 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled96
top_contributor_share0.741
How it's scored
42/42Issue resolution — 100% of issues closed
23.2/30PR acceptance — 1,357/1,756 decided PRs merged
10.4/13Newcomer PR acceptance — 4/5 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 12/23 approved changesets -- score normalized to 5
Inputs used
merged_prs1,357
open_issues0
closed_issues1,429
prs_merged_7d4
prs_decided_7d4
prs_merged_30d15
prs_decided_30d16
issue_closed_ratio1
closed_unmerged_prs399
first_time_authors_30d3
first_time_prs_merged_30d4
first_time_prs_decided_30d5
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.3/25Owner reach — 2,422 followers of pypa
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers2,422
owner_typeOrganization
is_verifiedyes
owner_loginpypa
public_repos59
account_age_days5,676

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 — 280 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvirtualenv
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9
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 site — https://virtualenv.pypa.io
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicspython, library, virtualenv, pypa, jython, cython, pypy, pypy3, hacktoberfest
has_wikino
homepagehttps://virtualenv.pypa.io
docs_sitehttps://virtualenv.pypa.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

67Good · 16% of overall
How it's scored
4.5/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.2/2.5CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 12/23 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 38 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 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
1.5/5SAST — SAST tool is not run on all commits -- score normalized to 3
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.7

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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://virtualenv.pypa.io/llms.txt)
30.1/40Legible commit history — 35 of 62 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://virtualenv.pypa.io/llms.txt
legible_history_share0.565
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/virtualenv/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 14 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/virtualenv/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.14
How it's scored
27/45Type-checkable code — Python with type-check config (src/virtualenv/py.typed)
55/55Manageable file sizes — 0/158 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes35,076
source_files_sampled158
oversized_source_files0

Key facts

5,045GitHub stars
96contributors
258commits, last 12 months
0days since last push
100releases
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 'virtualenv' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • deps.dev does not index pypi:virtualenv@21.7.10; 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 ★ / 1,115 ⇿
0Stars
1,115Forks
97Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

02004006008001,0001,2001,115202012-112019-102026-08
Major 1Minor 32Patch 64

Each point covers 13 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-09-16 09:22 UTC

6Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests23 out of 24 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 12/23 approved changesets -- score normalized to 5
10Contributorsproject has 38 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 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
3SASTSAST tool is not run on all commits -- score normalized to 3
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIdistlib>=0.3.7,<1pyproject.toml
PyPIfilelock>=3.16.1,<=3.19.1pyproject.toml
PyPIfilelock>=3.24.2,<4pyproject.toml
PyPIplatformdirs>=3.9.1,<5pyproject.toml
PyPIpython-discovery>=1.6pyproject.toml
PyPItyping-extensions>=4.13.2pyproject.toml
All dependencies 36

Full resolved dependency set from the GitHub dependency graph: 4 direct and 32 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdistlib—direct
PyPIfilelock—direct
PyPIplatformdirs—direct
PyPIpython-discovery—direct
PyPIcheck-wheel-contents—indirect
PyPIcovdefaults—indirect
PyPIcoverage—indirect
PyPIcoverage-enable-subprocess—indirect
PyPIflaky—indirect
PyPIfuro—indirect
PyPIhatch-vcs—indirect
PyPIhatchling—indirect
PyPIpackaging—indirect
PyPIpre-commit-uv—indirect
PyPIproselint—indirect
PyPIpytest—indirect
PyPIpytest-env—indirect
PyPIpytest-freezer—indirect
PyPIpytest-mock—indirect
PyPIpytest-randomly—indirect
PyPIpytest-timeout—indirect
PyPIpytest-xdist—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-argparse—indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-inline-tabs—indirect
PyPIsphinx-llm—indirect
PyPIsphinxcontrib-mermaid—indirect
PyPIsphinxcontrib-towncrier—indirect
PyPItime-machine—indirect
PyPItowncrier—indirect
PyPItwine—indirect
PyPIty—indirect
PyPIuv—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.