Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 15:03 UTC

google-deepmind / alphafold3

AlphaFold 3 inference pipeline.

Python · C++Apache-2.0★ 8,570 stars⑂ 1,365 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolhow this is determined

google-deepmind/alphafold3 holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Community & Adoption (84/100) and lowest on AI Readiness (48/100). It was last updated 30 days ago. A single contributor accounts for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

Google DeepMindOrganization
26,877 followers404 public repossince Aug 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIalphafold3points to another repo — not scored0.0.8815857 days agoartificial-intelligencedeep-learningoptimizersprompt-engineering

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

83Excellent
How it's scored
28.8/36Push recency — last push 30 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 120 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year120
human_commit_share1
days_since_last_push30
active_weeks_last_year38

Release discipline

84Excellent
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 52 days ago
12.6/27Release cadence — a release every ~156 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv3.0.4
releases_from_tagsno
days_since_latest_release52
mean_days_between_releases156
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?

84Excellent · 17% of overall

Popularity & adoption

96Exceptional
How it's scored
60/60Stars — 8,570 stars
25/25Forks — 1,365 forks
10.6/15Watchers — 82 watchers
Inputs used
forks1,365
stars8,570
watchers82
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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

Sustainability & Governance

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

56Moderate · 23% of overall

Maintainer resilience (bus factor)

35Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.9/22.5Commit distribution — top contributor authored 87% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.872

Issue & PR responsiveness

56Moderate
How it's scored
40.9/42Issue resolution — 98% of issues closed
0/30PR acceptance — 0/88 decided PRs merged
0/13Newcomer PR acceptance — 0/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs0
open_issues15
closed_issues590
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d3
issue_closed_ratio0.975
closed_unmerged_prs88
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d3

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 26,877 followers of google-deepmind
25/25Track record — 404 public repos, account ~12 yr old
Inputs used
followers26,877
owner_typeOrganization
is_verifiedno
owner_logingoogle-deepmind
public_repos404
account_age_days4,403

Engineering Quality

Are baseline engineering and documentation practices in place?

62Moderate · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

65Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall

Security posture

42Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 22 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
0/5SAST — no SAST tool detected
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 — 30 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

73Good
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
5.8/25Indirect dependencies free of known advisories — 1 affected: transformers 4.57.6 (critical 9.6)
32.3/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 269 days ago
Inputs used
sourceosv
advisories9
affected_packages1
assessed_packages70
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages0
Matched the pypi:alphafold3@0.0.8 runtime dependency closure — what installing the published package pulls in — 70 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.

48Weak · 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 — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

32At Risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
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_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.3/55Manageable file sizes — 4/127 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes126,034
source_files_sampled127
oversized_source_files4

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
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

8,570GitHub stars
14contributors
120commits, last 12 months
30days since last push
5releases
1bus factor
15open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'alphafold3' points at a different repository (https://github.com/kyegomez/AlphaFold3); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 1,365 ⇿
0Stars
1,365Forks
4Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

4006008001,0001,2001,4001,3651072024-112025-102026-09
Major 0Minor 0Patch 4

Each point covers 2 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-09-19 15:03 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
10Code-Reviewall changesets reviewed
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 22 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
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities30 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIabsl-py>=2.3.1pyproject.toml
PyPIdm-haiku==0.0.17pyproject.toml
PyPIetils—pyproject.toml
PyPIjax==0.10.2pyproject.toml
PyPIjax==0.10.2pyproject.toml
PyPIjax-mps==0.10.9pyproject.toml
PyPInumpy—pyproject.toml
PyPIrdkit==2025.9.4pyproject.toml
PyPItokamax==0.0.12pyproject.toml
PyPItqdm—pyproject.toml
PyPIzstandard—pyproject.toml
All dependencies 105

Full resolved dependency set from the GitHub dependency graph: 10 direct and 95 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIabsl-py2.3.1direct
PyPIdm-haiku0.0.17direct
PyPIetils1.13.0direct
PyPIjax0.10.2direct
PyPIjax-mps0.10.9direct
PyPInumpy2.4.1direct
PyPIrdkit2025.9.4direct
PyPItokamax0.0.12direct
PyPItqdm4.67.1direct
PyPIzstandard0.25.0direct
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIchex0.1.91indirect
PyPIcryptography49.0.0indirect
PyPIdecorator5.3.1indirect
PyPIeinshape1.0indirect
PyPIflax0.12.2indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.6.0indirect
PyPIgcsfs2026.6.0indirect
PyPIgoogle-api-core2.31.0indirect
PyPIgoogle-auth2.55.0indirect
PyPIgoogle-auth-oauthlib1.4.0indirect
PyPIgoogle-cloud-core2.6.0indirect
PyPIgoogle-cloud-storage3.12.0indirect
PyPIgoogle-cloud-storage-control1.12.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.10.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgrpc-google-iam-v10.14.4indirect
PyPIgrpcio1.81.1indirect
PyPIgrpcio-status1.80.0indirect
PyPIhumanize4.15.0indirect
PyPIidna3.18indirect
PyPIimmutabledict4.2.2indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig2.3.0indirect
PyPIjax-cuda12-pjrt0.10.2indirect
PyPIjax-cuda12-plugin0.10.2indirect
PyPIjaxlib0.10.2indirect
PyPIjaxtyping0.3.5indirect
PyPIjmp0.0.4indirect
PyPImarkdown-it-py4.0.0indirect
PyPImdurl0.1.2indirect
PyPIml-dtypes0.5.4indirect
PyPImsgpack1.1.2indirect
PyPImultidict6.7.1indirect
PyPInest-asyncio1.6.0indirect
PyPInvidia-cublas-cu1212.9.1.4indirect
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-cu129.17.1.4indirect
PyPInvidia-cufft-cu1211.4.1.4indirect
PyPInvidia-cusolver-cu1211.7.5.82indirect
PyPInvidia-cusparse-cu1212.5.10.65indirect
PyPInvidia-nccl-cu122.29.2indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvshmem-cu123.5.19indirect
PyPIoauthlib3.3.1indirect
PyPIopt-einsum3.4.0indirect
PyPIoptax0.2.6indirect
PyPIorbax-checkpoint0.11.31indirect
PyPIpackaging25.0indirect
PyPIpillow12.1.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.0indirect
PyPIprotobuf6.33.3indirect
PyPIpsutil7.2.1indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpytest9.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIqwix0.1.5indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrich14.2.0indirect
PyPIscipy1.17.0indirect
PyPIsimplejson3.20.2indirect
PyPItabulate0.9.0indirect
PyPItensorboardx2.6.4indirect
PyPItensorstore0.1.80indirect
PyPItoolz1.1.0indirect
PyPItreescope0.1.10indirect
PyPItypeguard2.13.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIwadler-lindig0.1.7indirect
PyPIyarl1.24.2indirect
PyPIzipp3.23.0indirect
Dependency advisories 1

Installing pypi:alphafold3@0.0.8 pulls in 70 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
transformers4.57.6indirectcritical95.10.0

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

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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.