Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 20:43 UTC

fugue-project / fugue

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

PythonApache-2.0★ 2,169 stars⑂ 103 forkssince Mar 2020View on GitHub ↗
KindPluginLibraryhow this is determined

fugue-project/fugue holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Vitality (42/100). It was last updated 99 days ago. 2 contributors account for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

The Fugue ProjectOrganization
62 followers15 public repossince May 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfugue0.9.72,182,572126188 days agodistributedsparkdaskrayduckdbsqldsldomain-specific-language

Metrics by category

Vitality

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

42Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 99 days ago
4.2/36Commit cadence6/52 weeks with commits
9.7/18Commit volume11 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year11
human_commit_share1
days_since_last_push99
active_weeks_last_year6
How it's scored
27/27Ships releases100 releases published
16.2/36Release recencylatest release 188 days ago
19.8/27Release cadencea release every ~73.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tagv0.9.7
releases_from_tagsno
days_since_latest_release188
mean_days_between_releases73.5
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?

81Excellent · 17% of overall
How it's scored
54.1/60Stars2,169 stars
16.7/25Forks103 forks
7.2/15Watchers21 watchers
Inputs used
forks103
stars2,169
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesapp.codacy.com, badge.fury.io, codecov.io, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads2,182,572 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesfugue
dependents
ecosystemspypi
total_downloads
monthly_downloads2,182,572
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.2/22.5Commit distributiontop contributor authored 46% of commits
13.5/13.5Contributor breadth22 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled22
top_contributor_share0.456
How it's scored
37/42Issue resolution88% of issues closed
28.2/30PR acceptance274/292 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 28/30 approved changesets -- score normalized to 9
Inputs used
merged_prs274
open_issues33
closed_issues241
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.88
closed_unmerged_prs18
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
12.9/25Owner reach62 followers of fugue-project
20.8/25Track record15 public repos, account ~6 yr old
Inputs used
followers62
owner_typeOrganization
is_verifiedno
owner_loginfugue-project
public_repos15
account_age_days2,299
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 188 days ago
20/20Version history126 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfugue
ecosystemspypi
any_deprecatedno
min_days_since_publish188

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows10 workflow(s)
24/24Tests present
16/16Linter config.pylintrc, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests9 out of 30 merged PRs checked by a CI test -- score normalized to 3
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 sitehttps://fugue-tutorials.readthedocs.io/
10/10Repository description
10/10Topics9 topics
10/10Wiki
Inputs used
topicsspark, dask, data-practitioners, machine-learning, distributed-systems, distributed-computing, distributed, sql, pandas
has_wikiyes
homepagehttps://fugue-tutorials.readthedocs.io/
docs_sitehttps://fugue-tutorials.readthedocs.io/
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
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0.8/2.5CI-Tests9 out of 30 merged PRs checked by a CI test -- score normalized to 3
0.5/2.5CII-Best-Practicesbadge detected: InProgress
6.8/7.5Code-ReviewFound 28/30 approved changesets -- score normalized to 9
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
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
0/7.5Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities111 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.5
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages10
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:fugue@0.9.7 runtime dependency closure — what installing the published package pulls in — 10 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.

68Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history97 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.97
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc, pyproject.toml ([tool.ruff])
11/11Static type checkingfugue/py.typed
10/10Reproducible environmentdevcontainer, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
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_filesMakefile, docs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configsfugue/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (fugue/py.typed)
54.6/55Manageable file sizes2/251 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes88,213
source_files_sampled251
oversized_source_files2
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

2,169GitHub stars
22contributors
11commits, last 12 months
99days since last push
100releases
2bus factor
33open 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 ★ / 103 ⇿
0Stars
103Forks
100Releases

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.

02040608010012010362020-092023-092026-08
Major 0Minor 4Patch 28

Each point covers 6 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 · 2026-08-27 20:43 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
3CI-Tests9 out of 30 merged PRs checked by a CI test -- score normalized to 3
2CII-Best-Practicesbadge detected: InProgress
9Code-ReviewFound 28/30 approved changesets -- score normalized to 9
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not 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
0Vulnerabilities111 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPItriad>=1.0.1pyproject.toml
PyPIadagio>=0.2.6pyproject.toml
PyPIpandas<3pyproject.toml
All dependencies 244

Full resolved dependency set from the GitHub dependency graph: 3 direct and 241 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIadagio0.2.6direct
PyPIpandas2.3.3direct
PyPItriad1.0.1direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiobotocore3.1.1indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaioitertools0.13.0indirect
PyPIaiosignal1.4.0indirect
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PyPIpygments2.19.2indirect
PyPIpylint3.2.6indirect
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PyPIpyspark4.1.1indirect
PyPIpytest9.0.2indirect
PyPIpytest-cov7.0.0indirect
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PyPIrequests2.32.5indirect
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PyPIrfc3987-syntax1.1.0indirect
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PyPIseaborn0.13.2indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools80.10.2indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
PyPIsphinx-autodoc-typehints3.6.2indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-rtd-theme3.1.0indirect
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
PyPIsqlalchemy2.0.10indirect
PyPIsqlglot27.29.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette0.50.0indirect
PyPItabulate0.9.0indirect
PyPItblib3.2.2indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItoolz1.1.0indirect
PyPItornado6.5.4indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.40.0indirect
PyPIvirtualenv20.36.1indirect
PyPIwcwidth0.5.3indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug3.1.5indirect
PyPIwrapt2.1.1indirect
PyPIyarl1.22.0indirect
PyPIzict3.0.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:fugue@0.9.7 pulls in 10 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.

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.