Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-20 22:01 UTC

GridTools / gt4py

Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).

PythonBSD-3-Clause★ 147 stars⑂ 57 forkssince Nov 2019View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

GridTools/gt4py 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 (51/100). It was last updated today. 4 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

GridToolsOrganization
21 followers22 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
PyPIgt4py1.1.1225,726240 days agogridtoolsstencilweatherclimateperformanceportablehpc

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 433 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year433
human_commit_share—
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 25 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~19.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count25
latest_release_tagv1.1.12
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases19.9
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?

67Good · 17% of overall

Popularity & adoption

55Moderate
How it's scored
35.1/60Stars — 147 stars
14.6/25Forks — 57 forks
5.3/15Watchers — 10 watchers
Inputs used
forks57
stars147
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

74Good
How it's scored
58.8/80Monthly downloads — 25,726 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgt4py
dependents—
ecosystemspypi
total_downloads—
monthly_downloads25,726
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?

84Excellent · 23% of overall

Maintainer resilience (bus factor)

85Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18.7/22.5Commit distribution — top contributor authored 17% of commits
13.5/13.5Contributor breadth — 32 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled32
top_contributor_share0.171

Issue & PR responsiveness

79Good
How it's scored
30.2/42Issue resolution — 72% of issues closed
25.2/30PR acceptance — 1,866/2,219 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9
Inputs used
merged_prs1,866
open_issues120
closed_issues306
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.718
closed_unmerged_prs353
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.

Ownership & stewardship

77Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
9.7/25Owner reach — 21 followers of GridTools
21.9/25Track record — 22 public repos, account ~10 yr old
Inputs used
followers21
owner_typeOrganization
is_verified—
owner_loginGridTools
public_repos22
account_age_days3,742
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 — 24 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgt4py
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 workflows — 11 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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 site — https://GridTools.github.io/gt4py
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://GridTools.github.io/gt4py
docs_sitehttps://GridTools.github.io/gt4py
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

51Moderate · 16% of overall

Security posture

49Weak
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 — 30 out of 30 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
6.8/7.5Code-Review — Found 29/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 12 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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
0/7.5Vulnerabilities — 38 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

59Moderate
How it's scored
10.5/35Direct dependencies free of known advisories — 3 affected: click 8.3.1 (high 7.2), mako 1.3.10 (high 7.5), setuptools 82.0.1 (moderate 6.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 95 days ago
Inputs used
sourceosv
advisories67
affected_packages13
assessed_packages250
unassessed_packages0
affected_by_severitycritical 2, high 7, moderate 3, low 1
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 250 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

85Excellent · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, src/gt4py/next/AGENTS.md, src/gt4py/next/CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, src/gt4py/next/AGENTS.md, src/gt4py/next/CLAUDE.md
agent_instruction_max_bytes5,839
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — docs/user/cartesian/Makefile, noxfile.py
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/gt4py/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/user/cartesian/Makefile, noxfile.py
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/gt4py/py.typed
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.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/gt4py/py.typed)
54.2/55Manageable file sizes — 11/718 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes103,829
source_files_sampled718
oversized_source_files11

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

147GitHub stars
32contributors
433commits, last 12 months
0days since last push
25releases
4bus factor
120open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:gt4py@1.1.12; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-07-20 22:00 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-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
10Contributorsproject has 12 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
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
0Vulnerabilities38 existing vulnerabilities detected
Direct dependencies 31
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All dependencies 250

Full resolved dependency set from the GitHub dependency graph: 31 direct and 219 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstandard-imghdr3.10.14indirect
PyPIsympy1.14.0indirect
PyPItach0.34.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.5indirect
PyPItraitlets5.14.3indirect
PyPItrove-classifiers2026.1.14.14indirect
PyPItyper0.24.1indirect
PyPItypes-decorator5.2.0.20251101indirect
PyPItypes-docutils0.22.3.20260322indirect
PyPItypes-pytz2026.1.1.20260304indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItypes-six1.17.0.20251009indirect
PyPItypes-tabulate0.10.0.20260308indirect
PyPItzdata2025.3indirect
PyPIurllib32.6.3indirect
PyPIvalidate-pyproject0.25indirect
PyPIvalidate-pyproject-schema-store2026.3.15indirect
PyPIvcs-versioning1.0.1indirect
PyPIvirtualenv21.2.0indirect
PyPIviztracer1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.0indirect
PyPIwheel0.46.3indirect
PyPIxarray2025.6.1indirect
PyPIxarray2026.2.0indirect
Dependency advisories 13

This repository publishes no package the index resolves, so its own dependency graph was assessed — 250 packages, which also include development and test pins that never ship: 13 carry known advisories, of which 3 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
gitpython3.1.46indirectcritical93.1.50
pillow12.1.1indirectcritical2412.3.0
click8.3.1directhigh18.3.3
mako1.3.10directhigh41.3.12
msgpack1.1.2indirecthigh11.2.1
pip26.0.1indirecthigh626.1.2
soupsieve2.8.3indirecthigh42.8.4
tornado6.5.5indirecthigh76.5.7
urllib32.6.3indirecthigh42.7.0
setuptools82.0.1directmoderate183.0.0
idna3.11indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3
pygments2.19.2indirectlow22.20.0

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.

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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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.