Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 01:33 UTC

HypothesisWorks / hypothesis

The property-based testing library for Python

PythonCustom license★ 8,915 stars⑂ 672 forkssince Mar 2013View on GitHub ↗
KindLibraryCommand-line toolPluginhow this is determined

HypothesisWorks/hypothesis holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (62/100). It was last updated 2 days ago. 2 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

HypothesisOrganization
105 followers5 public repossince Apr 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIhypothesis6.165.1051,140,3931,56311 days agopythontestingfuzzingproperty-based-testing

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 1,260 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,260
human_commit_share1
days_since_last_push2
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 11 days ago
27/27Release cadence — a release every ~1.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv6.165.10
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases1.7
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?

85Excellent · 17% of overall
How it's scored
60/60Stars — 8,915 stars
23.6/25Forks — 672 forks
10.1/15Watchers — 66 watchers
Inputs used
forks672
stars8,915
watchers66
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 51,140,393 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageshypothesis
dependents—
ecosystemspypi
total_downloads—
monthly_downloads51,140,393
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.6/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 66 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled100
top_contributor_share0.441
How it's scored
41.2/42Issue resolution — 98% of issues closed
24.6/30PR acceptance — 2,516/3,066 decided PRs merged
6.5/13Newcomer PR acceptance — 2/4 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 8/16 approved changesets -- score normalized to 5
Inputs used
merged_prs2,516
open_issues34
closed_issues1,744
prs_merged_7d1
prs_decided_7d1
prs_merged_30d23
prs_decided_30d27
issue_closed_ratio0.981
closed_unmerged_prs550
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.6/25Owner reach — 105 followers of HypothesisWorks
17.7/25Track record — 5 public repos, account ~10 yr old
Inputs used
followers105
owner_typeOrganization
is_verifiedno
owner_loginHypothesisWorks
public_repos5
account_age_days3,786

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 1,563 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshypothesis
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://hypothesis.works
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicspython, testing, fuzzing, property-based-testing
has_wikino
homepagehttps://hypothesis.works
docs_sitehttps://hypothesis.works
has_readmeyes
has_docs_dirno
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 — no data
2.5/2.5CI-Tests — 9 out of 9 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
3.8/7.5Code-Review — Found 8/16 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 66 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages1
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:hypothesis@6.165.10 runtime dependency closure — what installing the published package pulls in — 1 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.

79Good · 4% of overall
How it's scored
45/45Agent instructions — .claude/CLAUDE.md
0/15Machine-readable docs (llms.txt)
33.6/40Legible commit history — 63 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.63
agent_instruction_files.claude/CLAUDE.md
agent_instruction_max_bytes3,276
How it's scored
12.6/18One-command bootstrap — hypothesis/rust/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
11/11Static type checking — hypothesis/pyrightconfig.json, hypothesis/src/hypothesis/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 30 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configshypothesis/pyrightconfig.json, hypothesis/src/hypothesis/py.typed
agent_commit_share0.3
toolchain_manifestshypothesis/rust/Cargo.toml
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (hypothesis/pyrightconfig.json, hypothesis/src/hypothesis/py.typed)
54.4/55Manageable file sizes — 5/469 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes118,722
source_files_sampled469
oversized_source_files5

Key facts

8,915GitHub stars
100contributors
1,260commits, last 12 months
2days since last push
100releases
2bus factor
34open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 8915 stars today.
  • Could not fetch pypi package 'hypothesis-tooling' from its registry

More detail

Star and fork history 8,797 ★ / 672 ⇿
8,797Stars
672Forks
100Releases

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.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

02,0004,0006,0008,00010,0008,797669822013-032019-122026-08
Major 0Minor 13Patch 48

Each point covers 13 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 · 2026-08-28 01:32 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-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 8/16 approved changesets -- score normalized to 5
10Contributorsproject has 66 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIexceptiongroup>=1.0.0hypothesis/pyproject.toml
PyPIsortedcontainers>=2.1.0,<3.0.0hypothesis/pyproject.toml
All dependencies 239

Full resolved dependency set from the GitHub dependency graph: 2 direct and 237 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIsortedcontainers—direct
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crates.iocrunchy0.2.4indirect
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crates.ioheck0.5.0indirect
crates.iolibc0.2.186indirect
crates.ioonce_cell1.21.4indirect
crates.ioportable-atomic1.13.1indirect
crates.ioppv-lite860.2.21indirect
crates.ioproc-macro21.0.106indirect
crates.iopyo30.29.2indirect
crates.iopyo3-build-config0.29.2indirect
crates.iopyo3-ffi0.29.2indirect
crates.iopyo3-macros0.29.2indirect
crates.iopyo3-macros-backend0.29.2indirect
crates.ioquote1.0.46indirect
crates.ior-efi5.3.0indirect
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PyPIblack26.5.1indirect
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PyPIdamon—indirect
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PyPIlark—indirect
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PyPInd—indirect
PyPIned—indirect
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PyPInumpy—indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.2indirect
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PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.3indirect
PyPIpandas—indirect
PyPIpandas3.0.5indirect
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PyPIpelican4.12.0indirect
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PyPIpip26.2.1indirect
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PyPIpytest—indirect
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PyPIpytest-cov7.1.0indirect
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PyPIpython-dateutil2.9.0.post0indirect
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PyPIpytz2026.3.post1indirect
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PyPItey—indirect
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PyPItox-uv1.36.0indirect
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PyPItypes-setuptools84.0.0.20260812indirect
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PyPItzdata—indirect
PyPIunidecode1.4.0indirect
PyPIurllib32.7.0indirect
PyPIuv0.12.5indirect
PyPIuvicorn0.52.4indirect
PyPIvirtualenv21.7.4indirect
PyPIwatchdog—indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets17.0.1indirect
PyPIwheel0.48.0indirect
PyPIwsproto1.3.2indirect
PyPIz3-solver5.1.0.0indirect
PyPIzipp4.1.0indirect
PyPIzizmor1.29.0indirect
Dependency advisories 0

Installing pypi:hypothesis@6.165.10 pulls in 1 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.