Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 15:05 UTC

spotify / luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

PythonApache-2.0★ 18,775 stars⑂ 2,463 forkssince Sep 2012View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined
#python#luigi#orchestration-framework#scheduling#hadoop

spotify/luigi holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (100/100) and lowest on AI Readiness (59/100). It was last updated 61 days ago. 4 contributors account for most of its recent work.

91
overall / 100
Excellent

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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

SpotifyOrganization
5,225 followers289 public repossince Apr 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIluigi3.8.1967,48387133 days ago

Metrics by category

Vitality

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

63Moderate · 21% of overall

Development activity

50Moderate
How it's scored
18/36Push recency — last push 61 days ago
13.8/36Commit cadence — 20/52 weeks with commits
16.4/18Commit volume — 66 commits in the last year
2/10OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year66
human_commit_share1
days_since_last_push61
active_weeks_last_year20

Release discipline

82Excellent
How it's scored
27/27Ships releases — 67 releases published
27/36Release recency — latest release 133 days ago
19.8/27Release cadence — a release every ~93.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count67
latest_release_tagv3.8.1
releases_from_tagsno
days_since_latest_release133
mean_days_between_releases93.7
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?

100Exceptional · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 18,775 stars
25/25Forks — 2,463 forks
14.8/15Watchers — 451 watchers
Inputs used
forks2,463
stars18,775
watchers451
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

100Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesreadthedocs.org, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
79.8/80Monthly downloads — 967,483 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesluigi
dependents—
ecosystemspypi
total_downloads—
monthly_downloads967,483
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?

84Excellent · 23% of overall

Maintainer resilience (bus factor)

83Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
15.9/22.5Commit distribution — top contributor authored 29% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 39 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled100
top_contributor_share0.293

Issue & PR responsiveness

76Good
How it's scored
37/42Issue resolution — 88% of issues closed
24.2/30PR acceptance — 1,906/2,362 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,906
open_issues123
closed_issues910
prs_merged_7d0
prs_decided_7d1
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.881
closed_unmerged_prs456
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 5,225 followers of spotify
25/25Track record — 289 public repos, account ~16 yr old
Inputs used
followers5,225
owner_typeOrganization
is_verifiedno
owner_loginspotify
public_repos289
account_age_days5,990

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 133 days ago
20/20Version history — 87 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesluigi
ecosystemspypi
any_deprecatedno
min_days_since_publish133

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicspython, luigi, orchestration-framework, scheduling, hadoop
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?

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 27 out of 27 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 39 contributing companies or organizations
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
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 49 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.1
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 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_packages7
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:luigi@3.8.1 runtime dependency closure — what installing the published package pulls in — 7 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.

59Moderate · 4% of overall

Agent context & guidance

39Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
38.9/40Legible commit history — 73 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.73
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
11/11Static type checking — luigi/py.typed
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
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_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsluigi/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (luigi/py.typed)
53/55Manageable file sizes — 10/277 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes151,143
source_files_sampled277
oversized_source_files10

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

18,775GitHub stars
100contributors
66commits, last 12 months
61days since last push
67releases
4bus factor
123open 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 ★ / 2,463 ⇿
0Stars
2,463Forks
36Releases

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.

1,0001,5002,0002,5002,463132018-092022-092026-09
Major 1Minor 9Patch 25

Each point covers 8 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 15:05 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
10CI-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 39 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities49 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIpython-dateutil>=2.7.5,<3pyproject.toml
PyPItenacity>=9pyproject.toml
PyPItornado>=5.0,<7pyproject.toml
PyPIpython-daemon<2.2.0pyproject.toml
PyPIpython-daemon—pyproject.toml
PyPItyping-extensions>=4.12.2pyproject.toml
All dependencies 121

Full resolved dependency set from the GitHub dependency graph: 5 direct and 116 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpython-daemon2.1.2direct
PyPIpython-dateutil2.9.0.post0direct
PyPItenacity9.1.4direct
PyPItornado6.4.2direct
PyPItyping-extensions4.12.2direct
PyPIalabaster1.0.0indirect
PyPIasn1crypto1.5.1indirect
PyPIattrs25.1.0indirect
PyPIavro-python31.10.2indirect
PyPIazure-core1.32.0indirect
PyPIazure-storage-blob12.20.0indirect
PyPIbabel2.17.0indirect
PyPIboto2.49.0indirect
PyPIboto31.36.11indirect
PyPIbotocore1.36.11indirect
PyPIcachetools5.5.1indirect
PyPIcertifi2025.1.31indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcodecov2.1.13indirect
PyPIcolorama0.4.6indirect
PyPIcoverage5.5indirect
PyPIcryptography44.0.0indirect
PyPIdatadog0.22.0indirect
PyPIdecorator5.1.1indirect
PyPIdistro1.9.0indirect
PyPIdocker7.1.0indirect
PyPIdocopt0.6.2indirect
PyPIdocutils0.22.4indirect
PyPIdropbox12.0.2indirect
PyPIelasticsearch1.9.0indirect
PyPIexceptiongroup1.2.2indirect
PyPIexecnet2.1.2indirect
PyPIfuture1.0.0indirect
PyPIgoogle-api-core1.16.0indirect
PyPIgoogle-api-python-client1.8.4indirect
PyPIgoogle-auth1.4.1indirect
PyPIgoogle-auth-httplib20.0.3indirect
PyPIgoogle-compute-engine2.8.13indirect
PyPIgoogleapis-common-protos1.66.0indirect
PyPIgreenlet3.5.1indirect
PyPIhdfs2.7.3indirect
PyPIhttplib20.22.0indirect
PyPIhttpretty1.1.4indirect
PyPIhypothesis6.124.9indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.0.0indirect
PyPIisodate0.7.2indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.0.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2024.10.1indirect
PyPIlockfile0.12.2indirect
PyPImarkupsafe3.0.2indirect
PyPImock1.3.0indirect
PyPImoto4.2.14indirect
PyPImypy1.14.1indirect
PyPImypy-extensions1.0.0indirect
PyPImysql-connector-python9.2.0indirect
PyPIpackaging24.2indirect
PyPIpbr6.1.0indirect
PyPIpg80001.31.2indirect
PyPIpluggy1.5.0indirect
PyPIply3.11indirect
PyPIprometheus-client0.5.0indirect
PyPIprotobuf5.29.3indirect
PyPIpsutil3.4.2indirect
PyPIpsycopg22.9.10indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.1indirect
PyPIpycparser2.22indirect
PyPIpygments2.19.1indirect
PyPIpyhive0.6.1indirect
PyPIpymongo3.4.0indirect
PyPIpyparsing3.2.1indirect
PyPIpytest8.3.4indirect
PyPIpytest-cov5.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpytz2025.1indirect
PyPIpywin32308indirect
PyPIpyyaml6.0.2indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.31.0indirect
PyPIrequests-unixsocket0.3.0indirect
PyPIresponses0.25.6indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.5.1indirect
PyPIrsa4.9indirect
PyPIruff0.15.2indirect
PyPIs3transfer0.11.2indirect
PyPIscramp1.4.5indirect
PyPIselenium3.0.2indirect
PyPIsetuptools75.8.0indirect
PyPIsimplejson3.19.3indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx9.1.0indirect
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
PyPIsqlalchemy2.0.49indirect
PyPIstone3.3.1indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItypes-python-dateutil2.9.0.20241206indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-toml0.10.8.20240310indirect
PyPItypes-ujson5.10.0.20250822indirect
PyPItypes-urllib31.26.25.14indirect
PyPIuritemplate3.0.1indirect
PyPIurllib31.26.20indirect
PyPIwerkzeug3.1.3indirect
PyPIxmltodict0.14.2indirect
Dependency advisories 0

Installing pypi:luigi@3.8.1 pulls in 7 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with spotify/luigi. Read them side by side →

100numpy/numpyThe fundamental package for scientific computing with Python.Exceptional100PrefectHQ/prefectPrefect is a workflow orchestration framework for building resilient data pipelines in Python.Exceptional100huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Exceptional100streamlit/streamlitStreamlit — A faster way to build and share data apps.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional100scikit-learn/scikit-learnscikit-learn: machine learning in PythonExceptional

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.