Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 06:19 UTC

Metafold3d / metafold-python

Metafold SDK for Python

PythonMIT★ 13 stars⑂ 0 forkssince Jan 2024View on GitHub ↗

Metafold3d/metafold-python holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on Community & Adoption (33/100). It was last updated today. A single contributor accounts for most of its recent work.

59
overall / 100
Moderate

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.

59
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

Metafold 3DOrganization
30 followers3 public repossince Oct 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImetafold0.13.0-380 days agometafoldapisdkimplicit-geometry

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
9.7/36Commit cadence14/52 weeks with commits
17.1/18Commit volume79 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year79
human_commit_share
days_since_last_push0
active_weeks_last_year14
How it's scored
27/27Ships releases21 releases published
36/36Release recencylatest release 0 days ago
19.8/27Release cadencea release every ~54.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count21
latest_release_tag0.13.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases54.3
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?

33At Risk · 17% of overall
How it's scored
17.5/60Stars13 stars
0/25Forks0 forks
0/15Watchers1 watchers
Inputs used
forks0
stars13
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

45Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11.1/22.5Commit distributiontop contributor authored 51% of commits
4.1/13.5Contributor breadth3 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.507
How it's scored
0/42Issue resolutionno issues or no data
0/30PR acceptanceno decided pull requests or no data
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues0
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio
closed_unmerged_prs0
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
10.7/25Owner reach30 followers of Metafold3d
12/25Track record3 public repos, account ~3 yr old
Inputs used
followers30
owner_typeOrganization
is_verified
owner_loginMetafold3d
public_repos3
account_age_days1,386
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history38 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmetafold
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://metafold3d.github.io/metafold-python/
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsmetafold, sdk-python
has_wikino
homepagehttps://metafold3d.github.io/metafold-python/
docs_sitehttps://metafold3d.github.io/metafold-python/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

43Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities39 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.5
Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.
How it's scored
19.6/35Direct dependencies free of known advisories1 affected: requests 2.32.5 (moderate 5.5)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
35.2/40No advisories left outstanding1 advisory-carrying package(s) unaddressed past 90 days; oldest published 117 days ago
Inputs used
sourceosv
advisories75
affected_packages9
assessed_packages66
unassessed_packages0
affected_by_severitycritical 2, high 3, moderate 3, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 66 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.

48Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
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.
How it's scored
0/45Type-checkable codePython without a type-check config
53.3/55Manageable file sizes1/32 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes118,257
source_files_sampled32
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
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

13GitHub stars
3contributors
79commits, last 12 months
0days since last push
21releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:metafold@0.13.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 13 ★ / 0 ⇿
13Stars

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.

03581013151312024-022025-022026-03

Each point covers 2 days.

OpenSSF Scorecard 3.5 / 10
3.5aggregate

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 · 2026-07-21 06:19 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities39 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIattrs~=23.2pyproject.toml
PyPIauth0-python~=4.7pyproject.toml
PyPInumpy~=2.0pyproject.toml
PyPIrequests~=2.31pyproject.toml
PyPIscipy~=1.11pyproject.toml
All dependencies 66

Full resolved dependency set from the GitHub dependency graph: 5 direct and 61 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs23.2.0direct
PyPIauth0-python4.13.0direct
PyPInumpy2.4.1direct
PyPIrequests2.32.5direct
PyPIscipy1.17.0direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster0.7.16indirect
PyPIbabel2.17.0indirect
PyPIblosc24.1.2indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcryptography46.0.3indirect
PyPIdocutils0.20.1indirect
PyPIdotenv0.9.9indirect
PyPIfrozenlist1.8.0indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.7.8indirect
PyPImarkupsafe3.0.3indirect
PyPImetafold0.13.0indirect
PyPImsgpack1.1.2indirect
PyPImultidict6.7.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPIndindex1.10.1indirect
PyPInumexpr2.14.1indirect
PyPIpackaging25.0indirect
PyPIpandas3.0.1indirect
PyPIpandas-stubs3.0.0.260204indirect
PyPIpathspec1.0.3indirect
PyPIpluggy1.6.0indirect
PyPIplyfile1.1.3indirect
PyPIpropcache0.4.1indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpycparser2.23indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.10.1indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIruff0.14.13indirect
PyPIsimulation-configurator0.2.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-rtd-theme2.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItables3.11.1indirect
PyPItypes-pyyaml6.0.12.20260408indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
PyPIyarl1.22.0indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 66 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.3indirectcritical423.14.1
cryptography46.0.3indirectcritical748.0.1
msgpack1.1.2indirecthigh11.2.1
pyjwt2.10.1indirecthigh132.13.0
urllib32.6.3indirecthigh42.7.0
requests2.32.5directmoderate22.33.0
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.

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 v0.17.0 — full methodology · metrics wiki.

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