Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 06:22 UTC

GW-JAX-Team / ripple

Differentiable gravitational waveforms in JAX

PythonMIT★ 17 stars⑂ 8 forkssince Oct 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

GW-JAX-Team/ripple holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on AI Readiness (52/100). It was last updated today. 2 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

GW JAX TeamOrganization
26 followers5 public repossince Oct 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrippleGW0.4.14,223160 days agogravitational-wavesjax

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 — 1,133 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,133
human_commit_share0.85
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 8 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~27 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count8
latest_release_tagv0.4.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases27
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?

56Moderate · 17% of overall

Popularity & adoption

29At Risk
How it's scored
19.5/60Stars — 17 stars
7/25Forks — 8 forks
2.7/15Watchers — 4 watchers
Inputs used
forks8
stars17
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

60Moderate
How it's scored
48.3/80Monthly downloads — 4,223 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrippleGW
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,223
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.7/22.5Commit distribution — top contributor authored 48% of commits
13.5/13.5Contributor breadth — 15 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled15
top_contributor_share0.481

Issue & PR responsiveness

62Moderate
How it's scored
29/42Issue resolution — 69% of issues closed
25/30PR acceptance — 104/125 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/3 approved changesets -- score normalized to 0
Inputs used
merged_prs104
open_issues9
closed_issues20
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.69
closed_unmerged_prs21
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

48Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.3/25Owner reach — 26 followers of GW-JAX-Team
7.6/25Track record — 5 public repos, account ~0 yr old
Inputs used
followers26
owner_typeOrganization
is_verifiedno
owner_loginGW-JAX-Team
public_repos5
account_age_days359

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

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional
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
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://gw-jax-team.github.io/ripple/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://gw-jax-team.github.io/ripple/
docs_sitehttps://gw-jax-team.github.io/ripple/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 7 out of 7 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
0/7.5Code-Review — Found 0/3 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 13 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 4 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages101
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 101 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.

52Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 65 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.765
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 18 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.18
toolchain_manifests—
dependency_bot_commit_share0.04

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.8/55Manageable file sizes — 2/95 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes223,574
source_files_sampled95
oversized_source_files2

Key facts

17GitHub stars
15contributors
1,133commits, last 12 months
0days since last push
8releases
2bus factor
9open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:rippleGW@0.4.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 8 ⇿
0Stars
8Forks
5Releases

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.

02468812025-102026-032026-08
Major 0Minor 3Patch 2
OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-10-14 06:21 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/3 approved changesets -- score normalized to 0
10Contributorsproject has 13 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 4 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIjax>=0.8.2pyproject.toml
PyPIjaxtyping>=0.3.3pyproject.toml
All dependencies 101

Full resolved dependency set from the GitHub dependency graph: 3 direct and 98 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjax0.10.2direct
PyPIjax0.11.2direct
PyPIjaxtyping0.3.11direct
PyPIannotated-doc0.0.5indirect
PyPIastropy8.0.1indirect
PyPIastropy-iers-data0.2026.10.5.1.0.7indirect
PyPIcertifi2026.7.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcontourpy1.4.0indirect
PyPIcoverage7.16.2indirect
PyPIcoveralls4.1.0indirect
PyPIcycler0.12.1indirect
PyPIdeepmerge3.0.1indirect
PyPIdistlib0.4.3indirect
PyPIfilelock4.0.12indirect
PyPIfonttools4.66.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.3.2indirect
PyPIidentify2.6.20indirect
PyPIidna3.20indirect
PyPIigwn-ligolw2.1.1indirect
PyPIigwn-segments2.1.1indirect
PyPIiniconfig2.3.1indirect
PyPIjax-cuda12-pjrt0.10.2indirect
PyPIjax-cuda12-pjrt0.11.2indirect
PyPIjax-cuda12-plugin0.10.2indirect
PyPIjax-cuda12-plugin0.11.2indirect
PyPIjaxlib0.10.2indirect
PyPIjaxlib0.11.2indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.5.1indirect
PyPIlalsuite7.26.16indirect
PyPIlscsoft-glue4.1.1indirect
PyPImarkdown3.11indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.4indirect
PyPImatplotlib3.11.2indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.9indirect
PyPIml-dtypes0.6.0indirect
PyPInodeenv1.11.0indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.3indirect
PyPInvidia-cublas-cu1212.9.2.10indirect
PyPInvidia-cuda-cccl-cu1212.9.27indirect
PyPInvidia-cuda-cupti-cu1212.9.79indirect
PyPInvidia-cuda-nvcc-cu1212.9.86indirect
PyPInvidia-cuda-nvrtc-cu1212.9.86indirect
PyPInvidia-cuda-runtime-cu1212.9.79indirect
PyPInvidia-cudnn-cu129.27.0.42indirect
PyPInvidia-cufft-cu1211.4.1.4indirect
PyPInvidia-cusolver-cu1211.7.5.82indirect
PyPInvidia-cusparse-cu1212.5.10.65indirect
PyPInvidia-nccl-cu122.32.3indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvshmem-cu123.8.0indirect
PyPIopt-einsum3.4.0indirect
PyPIpackaging26.3indirect
PyPIpandas3.0.6indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.12.4indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpyerfa2.0.1.5indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions12.1indirect
PyPIpyparsing3.3.3indirect
PyPIpyright1.1.414indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.6.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruff0.16.10indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.1indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPItomli2.5.0indirect
PyPItqdm4.70.1indirect
PyPItyper0.27.3indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIvirtualenv21.14.6indirect
PyPIwadler-lindig0.1.7indirect
PyPIwatchdog6.0.0indirect
PyPIzensical0.0.69indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 101 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

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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 v0.34.0 — full methodology · metrics wiki.

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