Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 08:49 UTC

mlflow-oidc / mlflow-oidc-auth

MLflow Tracking Server OIDC Auth plugin

Python · TypeScriptApache-2.0★ 126 stars⑂ 65 forkssince Apr 2024View on GitHub ↗
KindNetwork serviceCommand-line toolPluginLibraryWeb interfacehow this is determined

mlflow-oidc/mlflow-oidc-auth holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (64/100). It was last updated 5 days ago. 2 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

7 followers8 public repossince Jan 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImlflow-oidc-auth7.18.269,0811065 days agomlflowoauth2oidc

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recency — last push 5 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 341 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year341
human_commit_share1
days_since_last_push5
active_weeks_last_year34
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~3.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv7.18.2
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases3.1

Community & Adoption

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

71Good · 17% of overall
How it's scored
34/60Stars — 126 stars
15.1/25Forks — 65 forks
3.9/15Watchers — 6 watchers
Inputs used
forks65
stars126
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
64.5/80Monthly downloads — 69,081 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmlflow-oidc-auth
dependents—
ecosystemspypi
total_downloads—
monthly_downloads69,081
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?

64Moderate · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.8/22.5Commit distribution — top contributor authored 48% of commits
13.5/13.5Contributor breadth — 20 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled20
top_contributor_share0.475
How it's scored
27.1/42Issue resolution — 65% of issues closed
21.1/30PR acceptance — 138/196 decided PRs merged
8.7/13Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/24 approved changesets -- score normalized to 0
Inputs used
merged_prs138
open_issues52
closed_issues95
prs_merged_7d1
prs_decided_7d1
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio0.646
closed_unmerged_prs58
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.5/25Owner reach — 7 followers of mlflow-oidc
10.2/25Track record — 8 public repos, account ~1 yr old
Inputs used
followers7
owner_typeOrganization
is_verifiedno
owner_loginmlflow-oidc
public_repos8
account_age_days589

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 106 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmlflow-oidc-auth
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.black]), tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 24 out of 24 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mlflow-oidc.github.io/mlflow-oidc-auth/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsmlflow, mlflow-tracking-server, oauth2, oidc, permission-management, sso, machine-learning
has_wikino
homepagehttps://mlflow-oidc.github.io/mlflow-oidc-auth/
docs_sitehttps://mlflow-oidc.github.io/mlflow-oidc-auth/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 24 out of 24 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
0/7.5Code-Review — Found 2/24 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
4.5/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 68 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6

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_packages93
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:mlflow-oidc-auth@7.18.2 runtime dependency closure — what installing the published package pulls in — 93 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.

69Good · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, .github/instructions/python.instructions.md, .github/instructions/react.instructions.md, AGENTS.md, CLAUDE.md, mlflow_oidc_auth/AGENTS.md, web-react/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files.github/copilot-instructions.md, .github/instructions/python.instructions.md, .github/instructions/react.instructions.md, AGENTS.md, CLAUDE.md, mlflow_oidc_auth/AGENTS.md, web-react/AGENTS.md
agent_instruction_max_bytes10,899
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.black]), tox.ini
11/11Static type checking — web-react/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 48 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
lockfilesyarn.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsweb-react/tsconfig.json
agent_commit_share0.48
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (web-react/tsconfig.json)
54.7/55Manageable file sizes — 4/667 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes126,517
source_files_sampled667
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

126GitHub stars
20contributors
341commits, last 12 months
5days since last push
100releases
2bus factor
52open issues
npm, 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 ★ / 65 ⇿
0Stars
65Forks
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.

01325385063756522024-042025-062026-09
Major 4Minor 38Patch 44

Each point covers 3 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-13 08:49 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/24 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 26 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
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
6Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities68 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPImlflow<4,>=3.14.0pyproject.toml
PyPIpython-dotenv<2pyproject.toml
PyPIrequests<3,>=2.32.5pyproject.toml
PyPIsqlalchemy<3,>=2.0.46pyproject.toml
PyPIflask<4pyproject.toml
PyPIgunicorn<24pyproject.toml
PyPIalembic<2,!=1.18.4pyproject.toml
PyPIauthlib<2pyproject.toml
PyPIuvicorn>=0.41.0pyproject.toml
PyPIfastapi>=0.132.0pyproject.toml
PyPIasgiref>=3.11.1pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIcachetools>=5.5.0pyproject.toml
npm@fortawesome/fontawesome-svg-core^7.1.0web-react/package.json
npm@fortawesome/free-solid-svg-icons^7.1.0web-react/package.json
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npmdompurify^3.3.0web-react/package.json
npmreact^19.1.1web-react/package.json
npmreact-dom^19.1.1web-react/package.json
npmreact-router^7.9.3web-react/package.json
All dependencies 416

Full resolved dependency set from the GitHub dependency graph: 20 direct and 396 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmdebug4.4.3indirect
npmdecimal.js10.6.0indirect
npmdeep-is0.1.4indirect
npmdequal2.0.3indirect
npmdetect-libc2.1.2indirect
npmdom-accessibility-api0.5.16indirect
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npmelectron-to-chromium1.5.267indirect
npmenhanced-resolve5.18.4indirect
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npmes-module-lexer1.7.0indirect
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npmescape-string-regexp2.0.0indirect
npmescape-string-regexp4.0.0indirect
npmeslint9.39.2indirect
npmeslint-config-prettier10.1.8indirect
npmeslint-plugin-react-dom2.5.5indirect
npmeslint-plugin-react-hooks7.0.1indirect
npmeslint-plugin-react-refresh0.4.26indirect
npmeslint-plugin-react-x2.5.5indirect
npmeslint-scope8.4.0indirect
npmeslint-visitor-keys3.4.3indirect
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npmespree10.4.0indirect
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npmfile-entry-cache8.0.0indirect
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npmignore5.3.2indirect
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npmimport-fresh3.3.1indirect
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npmistanbul-lib-coverage3.2.2indirect
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npmistanbul-lib-source-maps5.0.6indirect
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npmjest-diff30.2.0indirect
npmjest-matcher-utils30.2.0indirect
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npmjest-mock30.2.0indirect
npmjest-regex-util30.0.1indirect
npmjest-util30.2.0indirect
npmjiti2.6.1indirect
npmjs-tokens4.0.0indirect
npmjs-tokens9.0.1indirect
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npmlightningcss1.30.2indirect
npmlightningcss-android-arm641.30.2indirect
npmlightningcss-darwin-arm641.30.2indirect
npmlightningcss-darwin-x641.30.2indirect
npmlightningcss-freebsd-x641.30.2indirect
npmlightningcss-linux-arm-gnueabihf1.30.2indirect
npmlightningcss-linux-arm64-gnu1.30.2indirect
npmlightningcss-linux-arm64-musl1.30.2indirect
npmlightningcss-linux-x64-gnu1.30.2indirect
npmlightningcss-linux-x64-musl1.30.2indirect
npmlightningcss-win32-arm64-msvc1.30.2indirect
npmlightningcss-win32-x64-msvc1.30.2indirect
npmlocate-path6.0.0indirect
npmlodash.merge4.6.2indirect
npmlru-cache11.2.4indirect
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npmmagic-string0.30.21indirect
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npmmdn-data2.12.2indirect
npmmicromatch4.0.8indirect
npmmin-indent1.0.1indirect
npmminimatch3.1.2indirect
npmminimatch9.0.5indirect
npmms2.1.3indirect
npmnanoid3.3.11indirect
npmnatural-compare1.4.0indirect
npmnode-releases2.0.27indirect
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npmreact-is17.0.2indirect
npmreact-is18.3.1indirect
npmredent3.0.0indirect
npmrequire-from-string2.0.2indirect
npmresolve-from4.0.0indirect
npmrolldown1.0.0-beta.53indirect
npmrolldown-vite7.3.1indirect
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npmscheduler0.27.0indirect
npmsemver6.3.1indirect
npmsemver7.7.3indirect
npmset-cookie-parser2.7.2indirect
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npmshebang-regex3.0.0indirect
npmsiginfo2.0.0indirect
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npmsource-map-js1.2.1indirect
npmstack-utils2.0.6indirect
npmstackback0.0.2indirect
npmstd-env3.10.0indirect
npmstring-ts2.3.1indirect
npmstrip-indent3.0.0indirect
npmstrip-json-comments3.1.1indirect
npmsupports-color7.2.0indirect
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npmtinyexec1.0.2indirect
npmtinyglobby0.2.15indirect
npmtinyrainbow3.0.3indirect
npmtldts7.0.19indirect
npmtldts-core7.0.19indirect
npmto-regex-range5.0.1indirect
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npmtr466.0.0indirect
npmts-api-utils2.4.0indirect
npmts-declaration-location1.0.7indirect
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npmtslib2.8.1indirect
npmtype-check0.4.0indirect
npmtypescript5.9.3indirect
npmtypescript-eslint8.52.0indirect
npmundici-types7.16.0indirect
npmupdate-browserslist-db1.2.3indirect
npmuri-js4.4.1indirect
npmvitest4.0.16indirect
npmw3c-xmlserializer5.0.0indirect
npmwebidl-conversions8.0.1indirect
npmwhatwg-mimetype4.0.0indirect
npmwhatwg-url15.1.0indirect
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npmword-wrap1.2.5indirect
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npmxml-name-validator5.0.0indirect
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npmyocto-queue0.1.0indirect
npmzod4.3.5indirect
npmzod-validation-error4.0.2indirect
PyPIautoflake—indirect
PyPIazure-identity—indirect
PyPIazure-keyvault-secrets—indirect
PyPIblack—indirect
PyPIboto3—indirect
PyPIhvac—indirect
PyPIpre-commit—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIredis—indirect
Dependency advisories 0

Installing pypi:mlflow-oidc-auth@7.18.2 pulls in 93 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 statistics — PyPI.