Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 12:37 UTC

gdsfactory / gdsfactory

A Python library for designing chips (Photonics, Analog, Quantum, MEMS), PCBs, and 3D-printable objects. We aim to make hardware design accessible, intuitive, and fun—empowering everyone to build the future.

PythonMIT★ 1,041 stars⑂ 435 forkssince Mar 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

gdsfactory/gdsfactory holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Sustainability & Governance (72/100). It was last updated today. A single contributor accounts for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

GDSFactoryOrganization
239 followers62 public repossince Mar 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgdsfactory9.51.0265,5811,1353 days agoedaphotonicspython

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,349 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,349
human_commit_share0.91
days_since_last_push0
active_weeks_last_year52
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~13.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv10.0.0rc0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases13.6

Community & Adoption

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

85Excellent · 17% of overall
How it's scored
48.9/60Stars — 1,041 stars
22/25Forks — 435 forks
7/15Watchers — 19 watchers
Inputs used
forks435
stars1,041
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, inspect.software, shields.io
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

72Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.6/22.5Commit distribution — top contributor authored 79% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled96
top_contributor_share0.794
How it's scored
39.8/42Issue resolution — 95% of issues closed
26/30PR acceptance — 3,084/3,563 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 22/23 approved changesets -- score normalized to 9
Inputs used
merged_prs3,084
open_issues56
closed_issues1,000
prs_merged_7d11
prs_decided_7d43
prs_merged_30d11
prs_decided_30d43
issue_closed_ratio0.947
closed_unmerged_prs479
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.1/25Owner reach — 239 followers of gdsfactory
25/25Track record — 62 public repos, account ~6 yr old
Inputs used
followers239
owner_typeOrganization
is_verifiedno
owner_logingdsfactory
public_repos62
account_age_days2,366

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 3 days ago
20/20Version history — 1,135 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgdsfactory
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 5 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 — 23 out of 23 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://gdsfactory.com
10/10Repository description
10/10Topics — 12 topics
10/10Wiki
Inputs used
topicspython, gdsii, gds, eda, photonics, klayout, simulation, gdsfactory, 3d-printing, hardware, pcb-layout, cad
has_wikiyes
homepagehttps://gdsfactory.com
docs_sitehttps://gdsfactory.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

79Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 23 out of 23 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 22/23 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 19 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 9 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-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_aggregate7.4
Excluded from scoring (no data or not applicable): Packaging. 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_packages99
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:gdsfactory@9.51.0 runtime dependency closure — what installing the published package pulls in — 99 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.

80Excellent · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt present
39.3/40Legible commit history — 67 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.736
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, docs/notebooks/Makefile, gdsfactory/generic_tech/klayout/drc/Makefile, gdsfactory/generic_tech/klayout/lvs/Makefile, gdsfactory/generic_tech/klayout/tech/Makefile, gdsfactory/samples/demo/Makefile, tests/gds/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — gdsfactory/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 16 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 9 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_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/notebooks/Makefile, gdsfactory/generic_tech/klayout/drc/Makefile, gdsfactory/generic_tech/klayout/lvs/Makefile, gdsfactory/generic_tech/klayout/tech/Makefile, gdsfactory/samples/demo/Makefile, tests/gds/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configsgdsfactory/py.typed
agent_commit_share0.16
toolchain_manifests—
dependency_bot_commit_share0.09
How it's scored
27/45Type-checkable code — Python with type-check config (gdsfactory/py.typed)
54.8/55Manageable file sizes — 2/622 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes88,351
source_files_sampled622
oversized_source_files2
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 — notebooks, samples
Inputs used
example_dirsnotebooks, samples
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

1,041GitHub stars
96contributors
1,349commits, last 12 months
0days since last push
100releases
1bus factor
56open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 435 ⇿
0Stars
435Forks
99Releases

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.

0100200300400500426122020-062023-082026-09
Major 0Minor 46Patch 53

Each point covers 6 days.

OpenSSF Scorecard 7.4 / 10
7.4aggregate

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 · 2026-09-17 12:36 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests23 out of 23 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 22/23 approved changesets -- score normalized to 9
10Contributorsproject has 19 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 9 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool is not run on all commits -- score normalized to 8
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 32
RegistryPackageVersion constraintManifest
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PyPItyping-extensions—pyproject.toml
PyPIpygit2—pyproject.toml
PyPInatsort—pyproject.toml
All dependencies 313

Full resolved dependency set from the GitHub dependency graph: 32 direct and 281 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpyzmq27.1.0indirect
PyPIrapidfuzz3.14.5indirect
PyPIrectangle-packer2.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.2indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrtree1.4.1indirect
PyPIruamel-yaml0.19.1indirect
PyPIruamel-yaml-string0.1.1indirect
PyPIruff0.16.0indirect
PyPIs3transfer0.19.1indirect
PyPIsax0.17.0indirect
PyPIschema0.7.8indirect
PyPIscikit-fem12.0.2indirect
PyPIscikit-rf1.13.0indirect
PyPIscooby0.11.2indirect
PyPIsemver3.0.4indirect
PyPIsend2trash2.1.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIstevedore5.9.0indirect
PyPIsvg-path7.1indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPItbump6.9.0indirect
PyPIterminado0.18.1indirect
PyPItidy3d2.11.2indirect
PyPItifffile2026.7.14indirect
PyPItinycss21.5.1indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.7indirect
PyPItowncrier25.8.0indirect
PyPItqdm4.69.0indirect
PyPItraitlets5.15.1indirect
PyPIty0.0.63indirect
PyPItypes-cachetools7.0.0.20260713indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIujson5.13.0indirect
PyPIunidecode1.4.0indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.51.0indirect
PyPIuvloop0.22.1indirect
PyPIvhacdx0.0.10indirect
PyPIvirtualenv21.6.1indirect
PyPIvtk9.6.2indirect
PyPIwadler-lindig0.1.7indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.1.1indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwin32-setctime1.2.0indirect
PyPIxarray2026.4.0indirect
PyPIxdoctest1.3.2indirect
PyPIxxhash3.8.1indirect
PyPIxyzservices2026.3.0indirect
PyPIzensical0.0.51indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:gdsfactory@9.51.0 pulls in 99 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.

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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.