Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 07:32 UTC

se2p / pynguin

The PYthoN General UnIt Test geNerator is a test-generation tool for Python

PythonMIT★ 1,385 stars⑂ 98 forkssince Jul 2020View on GitHub ↗

se2p/pynguin 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 (40/100). It was last updated today. 2 contributors account 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

44 followers71 public repossince Apr 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpynguin0.46.07,040610 days agounit-testrandom-testingsearch-basedtest-generation

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 recencylast push 0 days ago
29.1/36Commit cadence42/52 weeks with commits
18/18Commit volume814 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year814
human_commit_share
days_since_last_push0
active_weeks_last_year42
How it's scored
27/27Ships releases62 releases published
36/36Release recencylatest release 0 days ago
19.8/27Release cadencea release every ~85.2 days
8/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count62
latest_release_tag0.46.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases85.2

Community & Adoption

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

76Good · 17% of overall
How it's scored
51/60Stars1,385 stars
16.6/25Forks98 forks
7.6/15Watchers24 watchers
Inputs used
forks98
stars1,385
watchers24
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_services
has_pull_request_templateno
How it's scored
51.3/80Monthly downloads7,040 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespynguin
dependents
ecosystemspypi
total_downloads
monthly_downloads7,040
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?

78Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
15.3/22.5Commit distributiontop contributor authored 32% of commits
13.5/13.5Contributor breadth21 contributors
10/10OpenSSF Scorecard: Contributorsproject has 11 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled21
top_contributor_share0.319
How it's scored
38.9/42Issue resolution93% of issues closed
23/30PR acceptance46/60 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs46
open_issues6
closed_issues75
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.926
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
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
11.9/25Owner reach44 followers of se2p
25/25Track record71 public repos, account ~8 yr old
Inputs used
followers44
owner_typeOrganization
is_verified
owner_loginse2p
public_repos71
account_age_days3,007
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 0 days ago
20/20Version history61 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespynguin
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://www.pynguin.eu
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicspython, testing-tools, test-generation, test-generator, search-based-software-testing
has_wikino
homepagehttps://www.pynguin.eu
docs_sitehttps://www.pynguin.eu
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 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
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 11 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
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
6/7.5Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities16 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4
Excluded from scoring (no data or not applicable): CI-Tests. 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.

75Good · 4% of overall
How it's scored
45/45Agent instructions.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docker/AGENTS.md, docs/AGENTS.md, src/AGENTS.md, src/pynguin/analyses/AGENTS.md, src/pynguin/assertion/AGENTS.md, src/pynguin/assertion/mutation_analysis/AGENTS.md, src/pynguin/assertion/mutation_analysis/operators/AGENTS.md, src/pynguin/ga/AGENTS.md, src/pynguin/ga/algorithms/AGENTS.md, src/pynguin/ga/operators/AGENTS.md, src/pynguin/instrumentation/AGENTS.md, src/pynguin/instrumentation/version/AGENTS.md, src/pynguin/large_language_model/AGENTS.md, src/pynguin/large_language_model/helpers/AGENTS.md, src/pynguin/large_language_model/parsing/AGENTS.md, src/pynguin/large_language_model/prompts/AGENTS.md, src/pynguin/master_worker/AGENTS.md, src/pynguin/resources/AGENTS.md, src/pynguin/slicer/AGENTS.md, src/pynguin/testcase/AGENTS.md, src/pynguin/utils/AGENTS.md, src/pynguin/utils/generic/AGENTS.md, src/pynguin/utils/pynguinml/AGENTS.md, src/pynguin/utils/statistics/AGENTS.md, tests/AGENTS.md, tests/assertion/AGENTS.md, tests/assertion/mutation_analysis/operators/AGENTS.md, tests/fixtures/AGENTS.md, tests/fixtures/examples/AGENTS.md, tests/fixtures/instrumentation/AGENTS.md, tests/ga/AGENTS.md, tests/instrumentation/AGENTS.md, tests/testcase/AGENTS.md
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.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docker/AGENTS.md, docs/AGENTS.md, src/AGENTS.md, src/pynguin/analyses/AGENTS.md, src/pynguin/assertion/AGENTS.md, src/pynguin/assertion/mutation_analysis/AGENTS.md, src/pynguin/assertion/mutation_analysis/operators/AGENTS.md, src/pynguin/ga/AGENTS.md, src/pynguin/ga/algorithms/AGENTS.md, src/pynguin/ga/operators/AGENTS.md, src/pynguin/instrumentation/AGENTS.md, src/pynguin/instrumentation/version/AGENTS.md, src/pynguin/large_language_model/AGENTS.md, src/pynguin/large_language_model/helpers/AGENTS.md, src/pynguin/large_language_model/parsing/AGENTS.md, src/pynguin/large_language_model/prompts/AGENTS.md, src/pynguin/master_worker/AGENTS.md, src/pynguin/resources/AGENTS.md, src/pynguin/slicer/AGENTS.md, src/pynguin/testcase/AGENTS.md, src/pynguin/utils/AGENTS.md, src/pynguin/utils/generic/AGENTS.md, src/pynguin/utils/pynguinml/AGENTS.md, src/pynguin/utils/statistics/AGENTS.md, tests/AGENTS.md, tests/assertion/AGENTS.md, tests/assertion/mutation_analysis/operators/AGENTS.md, tests/fixtures/AGENTS.md, tests/fixtures/examples/AGENTS.md, tests/fixtures/instrumentation/AGENTS.md, tests/ga/AGENTS.md, tests/instrumentation/AGENTS.md, tests/testcase/AGENTS.md
agent_instruction_max_bytes19,887
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs
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
0/45Type-checkable codePython without a type-check config
54.2/55Manageable file sizes8/556 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes97,129
source_files_sampled556
oversized_source_files8
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

1,385GitHub stars
21contributors
814commits, last 12 months
0days since last push
62releases
2bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pynguin@0.46.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 1,385 ★ / 0 ⇿
1,385Stars

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.

6008001,0001,2001,4001,3852762021-062023-122026-07

Each point covers 5 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-07-21 07:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities16 existing vulnerabilities detected
Direct dependencies 26
RegistryPackageVersion constraintManifest
PyPIastroid^4.0.1pyproject.toml
PyPIblack^25.1.0pyproject.toml
PyPIbytecode0.17.0pyproject.toml
PyPIdill^0.4.0pyproject.toml
PyPIJinja2^3.1.6pyproject.toml
PyPInetworkx^3.4.2pyproject.toml
PyPImultiprocess^0.70.18pyproject.toml
PyPIrich^14.0.0pyproject.toml
PyPIPygments^2.19.2pyproject.toml
PyPIpytest^8.3.5pyproject.toml
PyPIsimple-parsing^0.1.7pyproject.toml
PyPItyping_inspect^0.9.0pyproject.toml
PyPIasciitree^0.3.3pyproject.toml
PyPIlibcst^1.7.0pyproject.toml
PyPIsetuptools^80.9.0pyproject.toml
PyPItoml^0.10.2pyproject.toml
PyPIpsutil^7.1.1pyproject.toml
PyPIrstr^3.2.2pyproject.toml
PyPIopenai^1.72.0pyproject.toml
PyPIpython-dotenv^1.0.0pyproject.toml
PyPInumpy^1.26.4pyproject.toml
PyPImypy^1.15.0pyproject.toml
PyPItyping-extensions^4.12.2pyproject.toml
PyPIfaker^37.3.0pyproject.toml
PyPIfandango-fuzzer^0.8.2pyproject.toml
PyPIxmltodict^0.14.2pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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 v0.17.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.