Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 06:11 UTC

sokrypton / ColabFold

Making Protein folding accessible to all!

Jupyter NotebookMIT★ 2,909 stars⑂ 744 forkssince Jul 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

sokrypton/ColabFold holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Community & Adoption (80/100) and lowest on Security (32/100). It was last updated 13 days ago. 2 contributors account for most of its recent work.

75
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.

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

Ownership

Sergey OvchinnikovPersonal account
752 followers72 public repossince Apr 2013

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIcolabfold1.6.27,753857 days ago

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
28.8/36Push recencylast push 13 days ago
13.8/36Commit cadence20/52 weeks with commits
16.3/18Commit volume64 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year64
human_commit_share1
days_since_last_push13
active_weeks_last_year20
How it's scored
27/27Ships releases9 releases published
36/36Release recencylatest release 57 days ago
12.6/27Release cadencea release every ~227.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count9
latest_release_tagv1.6.2
releases_from_tagsno
days_since_latest_release57
mean_days_between_releases227.2

Community & Adoption

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

80Excellent · 17% of overall
How it's scored
56.2/60Stars2,909 stars
23.9/25Forks744 forks
9.7/15Watchers57 watchers
Inputs used
forks744
stars2,909
watchers57
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
51.9/80Monthly downloads7,753 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagescolabfold
dependents
ecosystemspypi
total_downloads
monthly_downloads7,753
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
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.7/22.5Commit distributiontop contributor authored 39% of commits
13.5/13.5Contributor breadth43 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor2
contributors_sampled43
top_contributor_share0.389
How it's scored
18.2/42Issue resolution43% of issues closed
21.2/30PR acceptance89/126 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs89
open_issues396
closed_issues304
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.434
closed_unmerged_prs37
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
20.7/25Owner reach752 followers of sokrypton
25/25Track record72 public repos, account ~13 yr old
Inputs used
followers752
owner_typeUser
is_verified
owner_loginsokrypton
public_repos72
account_age_days4,893
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 57 days ago
20/20Version history8 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagescolabfold
ecosystemspypi
any_deprecatedno
min_days_since_publish57

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicsbioinformatics, multiple-sequence-alignment, protein-structure, structure-prediction
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

32At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfilespoetry.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespoetry.lock
manifestspyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
How it's scored
15.8/35Direct dependencies free of known advisories3 affected: biopython 1.82 (moderate 4.9), requests 2.31.0 (moderate 5.6), tqdm 4.66.1 (low 3.9)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
29.4/40No advisories left outstanding3 advisory-carrying package(s) unaddressed past 90 days; oldest published 859 days ago
Inputs used
sourceosv
advisories75
affected_packages12
assessed_packages63
unassessed_packages0
affected_by_severitycritical 2, high 5, moderate 4, low 1
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 63 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.

44Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
5.9/40Legible commit history11 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.11
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.black])
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codeJupyter Notebook without a type-check config
53.1/55Manageable file sizes1/29 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes92,433
source_files_sampled29
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 examplesnotebooks
Inputs used
example_dirsnotebooks
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

2,909GitHub stars
43contributors
64commits, last 12 months
13days since last push
9releases
2bus factor
396open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Runtime dependency closure could not be resolved from deps.dev ([Errno -5] No address associated with hostname); advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/sokrypton/ColabFold: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get "https://codeload.github.com/sokrypton/ColabFold/legacy.tar.gz/refs/heads/main": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp: lookup codeload.github.com on 127.0.0.11:53: server misbehaving); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 744 ⇿
0Stars
744Forks
9Releases

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.

0125250375500625750722182021-072024-022026-09
Major 0Minor 4Patch 4

Each point covers 5 days.

Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIabsl-py^1.0.0pyproject.toml
PyPIjax>=0.5.2,<0.11pyproject.toml
PyPImatplotlib^3.8.4pyproject.toml
PyPIbiopython<1.86pyproject.toml
PyPInumpy^2.0.2pyproject.toml
PyPIpandas^2.2.2pyproject.toml
PyPIalphafold-colabfold2.3.18pyproject.toml
PyPIrequests^2.26.0pyproject.toml
PyPItqdm^4.62.2pyproject.toml
PyPIappdirs^1.4.4pyproject.toml
PyPIpy3Dmol^2.0.1pyproject.toml
PyPIdm-tree^0.1.9pyproject.toml
PyPIdm-haiku^0.0.16pyproject.toml
PyPIimportlib-metadata^8.6.1pyproject.toml
PyPIpdbfixer^1.12.0pyproject.toml
PyPIopenmm^8.2.0pyproject.toml
PyPIorjson^3.11.4pyproject.toml
All dependencies 63

Full resolved dependency set from the GitHub dependency graph: 17 direct and 46 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIabsl-py1.4.0direct
PyPIalphafold-colabfold2.3.18direct
PyPIappdirs1.4.4direct
PyPIbiopython1.82direct
PyPIdm-haiku0.0.16direct
PyPIdm-tree0.1.9direct
PyPIimportlib-metadata8.7.0direct
PyPIjax0.5.3direct
PyPImatplotlib3.10.5direct
PyPInumpy2.2.6direct
PyPIopenmm8.4.0.post2direct
PyPIorjson3.11.7direct
PyPIpandas2.3.2direct
PyPIpdbfixer1.12.0direct
PyPIpy3dmol2.0.4direct
PyPIrequests2.31.0direct
PyPItqdm4.66.1direct
PyPIatomicwrites1.4.1indirect
PyPIattrs23.1.0indirect
PyPIblack23.12.1indirect
PyPIcertifi2023.11.17indirect
PyPIcharset-normalizer3.3.2indirect
PyPIchex0.1.85indirect
PyPIclick8.1.7indirect
PyPIcolorama0.4.6indirect
PyPIcontextlib221.6.0indirect
PyPIcontourpy1.3.2indirect
PyPIcycler0.12.1indirect
PyPIfonttools4.47.0indirect
PyPIidna3.6indirect
PyPIimmutabledict4.2.1indirect
PyPIiniconfig2.0.0indirect
PyPIjaxlib0.5.3indirect
PyPIjmp0.0.4indirect
PyPIkiwisolver1.4.5indirect
PyPIlegacy-cgi2.6.4indirect
PyPIml-collections0.1.1indirect
PyPIml-dtypes0.5.3indirect
PyPImypy-extensions1.0.0indirect
PyPIopt-einsum3.3.0indirect
PyPIpackaging23.2indirect
PyPIpathspec0.12.1indirect
PyPIpillow10.1.0indirect
PyPIplatformdirs4.1.0indirect
PyPIpluggy1.3.0indirect
PyPIpy1.11.0indirect
PyPIpyparsing3.1.1indirect
PyPIpytest6.2.5indirect
PyPIpython-dateutil2.8.2indirect
PyPIpytz2023.3.post1indirect
PyPIpyyaml6.0.1indirect
PyPIscipy1.15.3indirect
PyPIsetuptools69.0.3indirect
PyPIsix1.16.0indirect
PyPItabulate0.9.0indirect
PyPItoml0.10.2indirect
PyPItomli2.0.1indirect
PyPItoolz0.12.0indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.2indirect
PyPIurllib32.1.0indirect
PyPIwrapt1.16.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 12

This repository publishes no package the index resolves, so its own dependency graph was assessed — 63 packages, which also include development and test pins that never ship: 12 carry known advisories, of which 3 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
black23.12.1indirectcritical426.3.1
pillow10.1.0indirectcritical3212.3.0
certifi2023.11.17indirecthigh22024.7.4
click8.1.7indirecthigh18.3.3
idna3.6indirecthigh43.15
setuptools69.0.3indirecthigh683.0.0
urllib32.1.0indirecthigh122.7.0
biopython1.82directmoderate21.87
requests2.31.0directmoderate62.33.0
fonttools4.47.0indirectmoderate24.60.2
pytest6.2.5indirectmoderate29.0.3
tqdm4.66.1directlow24.66.3

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 v0.34.0 — full methodology · metrics wiki.

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