Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-04 18:17 UTC

python-jsonschema / jsonschema

An implementation of the JSON Schema specification for Python

PythonMIT★ 4,967 stars⑂ 644 forkssince Dec 2011View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

python-jsonschema/jsonschema holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (60/100). It was last updated today. A single contributor accounts 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

70 followers12 public repossince Feb 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIjsonschema4.26.0581,841,607109209 days agodata-validationjsonjson-schemajsonschemavalidation
npmjson-schema-test-suitepoints to another repo — not scored0.0.1051534031 days agojsonschematestsuite

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
30.5/36Commit cadence44/52 weeks with commits
18/18Commit volume215 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year215
human_commit_share0.62
days_since_last_push0
active_weeks_last_year44
How it's scored
27/27Ships releases68 releases published
16.2/36Release recencylatest release 209 days ago
19.8/27Release cadencea release every ~87 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count68
latest_release_tagv4.26.0
releases_from_tagsno
days_since_latest_release209
mean_days_between_releases87

Community & Adoption

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

87Excellent · 17% of overall
How it's scored
60/60Stars4,967 stars
23.4/25Forks644 forks
9.6/15Watchers54 watchers
Inputs used
forks644
stars4,967
watchers54
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
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 downloads581,841,607 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesjsonschema
dependents
ecosystemspypi
total_downloads
monthly_downloads581,841,607
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
3.7/22.5Commit distributiontop contributor authored 84% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 34 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.835
How it's scored
39.7/42Issue resolution94% of issues closed
19/30PR acceptance339/535 decided PRs merged
1.3/13Newcomer PR acceptance1/10 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 1/7 approved changesets -- score normalized to 1
Inputs used
merged_prs339
open_issues50
closed_issues851
prs_merged_7d0
prs_decided_7d1
prs_merged_30d1
prs_decided_30d10
issue_closed_ratio0.945
closed_unmerged_prs196
first_time_authors_30d10
first_time_prs_merged_30d1
first_time_prs_decided_30d10
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
13.3/25Owner reach70 followers of python-jsonschema
17/25Track record12 public repos, account ~4 yr old
Inputs used
followers70
owner_typeOrganization
is_verified
owner_loginpython-jsonschema
public_repos12
account_age_days1,623
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 209 days ago
20/20Version history109 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesjsonschema
ecosystemspypi
any_deprecatedno
min_days_since_publish209

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 configtox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://python-jsonschema.readthedocs.io
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicsjson-schema, json, validation, schema, jsonschema
has_wikino
homepagehttps://python-jsonschema.readthedocs.io
docs_sitehttps://python-jsonschema.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

86Excellent · 16% of overall

Security posture

83Excellent
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 1/7 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 34 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
5/5Fuzzingproject is fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8.3
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages4
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:jsonschema@4.26.0 runtime dependency closure — what installing the published package pulls in — 4 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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
37.8/40Legible commit history44 of 62 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.71
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile, noxfile.py
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance21 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile, noxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.21
How it's scored
0/45Type-checkable codePython without a type-check config
53.6/55Manageable file sizes1/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes87,903
source_files_sampled40
oversized_source_files1

Key facts

4,967GitHub stars
98contributors
215commits, last 12 months
0days since last push
68releases
1bus factor
50open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • npm package 'json-schema-test-suite' points at a different repository (https://github.com/atomiqio/json-schema-test-suite); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 644 ⇿
0Stars
644Forks
68Releases

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.

0125250375500625750635142012-012019-042026-07
Major 1Minor 26Patch 30

Each point covers 14 days.

OpenSSF Scorecard 8.3 / 10
8.3aggregate

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 · 2026-08-04 18:16 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-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/7 approved changesets -- score normalized to 1
10Contributorsproject has 34 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIattrs>=22.2.0pyproject.toml
PyPIjsonschema-specifications>=2023.03.6pyproject.toml
PyPIreferencing>=0.28.4pyproject.toml
PyPIrpds-py>=0.25.0pyproject.toml
All dependencies 71

Full resolved dependency set from the GitHub dependency graph: 5 direct and 66 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs26.1.0direct
PyPIjsonschema-specifications2025.9.1direct
PyPIreferencing0.37.0direct
PyPIrpds-py0.30.0direct
PyPIrpds-py2026.6.3direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIarrow1.4.0indirect
PyPIastroid4.1.2indirect
PyPIautomat25.4.16indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.6.17indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIconstantly23.10.4indirect
PyPIdocutils0.21.2indirect
PyPIfqdn1.5.1indirect
PyPIfuro2025.12.19indirect
PyPIhyperlink21.0.0indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIincremental24.11.0indirect
PyPIisoduration20.11.0indirect
PyPIjinja23.1.6indirect
PyPIjsonpath-ng1.8.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschemaindirect
PyPIlark1.3.1indirect
PyPIlxml6.1.1indirect
PyPImarkupsafe3.0.3indirect
PyPIpackaging26.2indirect
PyPIpyenchant3.3.0indirect
PyPIpygments2.20.0indirect
PyPIpyrsistent0.20.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc39871.3.8indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIroman-numerals4.1.0indirect
PyPIroman-numerals-py4.1.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-autoapi3.8.0indirect
PyPIsphinx-autodoc-typehints3.5.2indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-json-schema-spec2025.1.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxcontrib-spelling8.0.2indirect
PyPIsphinxext-opengraph0.13.0indirect
PyPItomli2.4.1indirect
PyPItwisted26.4.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIvirtue2025.7.1indirect
PyPIwebcolors25.10.0indirect
PyPIzope-interface8.5indirect
Dependency advisories 0

Installing pypi:jsonschema@4.26.0 pulls in 4 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 v0.30.0 — full methodology · metrics wiki.

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