Public record
Software health reportschema 0.23.0 · metrics 2.10.0 · 2026-07-21 20:55 UTC

Lightning-Universe / stable-diffusion-deploy

Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

Python · TypeScriptApache-2.0★ 391 stars⑂ 39 forkssince Aug 2022archivedView on GitHub ↗
KindWeb interfacehow this is determined

Lightning-Universe/stable-diffusion-deploy holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Engineering Quality (80/100) and lowest on Vitality (25/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

126 followers100 public repossince Dec 2022

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

Metrics by category

Vitality

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

25At Risk · 21% of overall
How it's scored
0/36Push recencylast push 1,022 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject is archived
Inputs used
commits_last_year0
human_commit_share0.61
days_since_last_push1,022
active_weeks_last_year0
How it's scored
27/27Ships releases4 releases published
0/36Release recencylatest release 1,334 days ago
27/27Release cadencea release every ~14.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count4
latest_release_tagv0.3.0
releases_from_tagsno
days_since_latest_release1,334
mean_days_between_releases14.4
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?

59Moderate · 17% of overall
How it's scored
42/60Stars391 stars
13.2/25Forks39 forks
4.3/15Watchers7 watchers
Inputs used
forks39
stars391
watchers7
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

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

68Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.1/22.5Commit distributiontop contributor authored 42% of commits
13.5/13.5Contributor breadth13 contributors
10/10OpenSSF Scorecard: Contributorsproject has 21 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled13
top_contributor_share0.417
How it's scored
24.9/42Issue resolution59% of issues closed
25.7/30PR acceptance214/250 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 1/4 approved changesets -- score normalized to 2
Inputs used
merged_prs214
open_issues22
closed_issues32
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.593
closed_unmerged_prs36
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
15.1/25Owner reach126 followers of Lightning-Universe
20.2/25Track record100 public repos, account ~3 yr old
Inputs used
followers126
owner_typeOrganization
is_verified
owner_loginLightning-Universe
public_repos100
account_age_days1,313
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 29 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://lightning.ai/muse
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsmodel-serving, stable-diffusion
has_wikino
homepagehttps://lightning.ai/muse
docs_sitehttps://lightning.ai/muse
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests0 out of 29 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 1/4 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 21 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject is archived
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
0/7.5Vulnerabilities148 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.7
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
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories32
affected_packages4
assessed_packages13
unassessed_packages6
affected_by_severitycritical 1, high 1, moderate 2
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 13 resolved dependencies against OSV. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

58Moderate · 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 history47 of 61 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.77
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingmuse/ui/tsconfig.json
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance35 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesyarn.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsmuse/ui/tsconfig.json
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.35
How it's scored
27/45Type-checkable codePython with type-check config (muse/ui/tsconfig.json)
55/55Manageable file sizes0/46 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes11,944
source_files_sampled46
oversized_source_files0

Key facts

391GitHub stars
13contributors
0commits, last 12 months
1,022days since last push
4releases
2bus factor
22open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'lightning-muse' from its registry

More detail

Star and fork history 391 ★ / 39 ⇿
391Stars
39Forks
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.

010020030040039139822022-082024-062026-04
Major 0Minor 3Patch 1

Each point covers 4 days.

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 · 2026-07-21 20:54 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
0CI-Tests0 out of 29 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 1/4 approved changesets -- score normalized to 2
10Contributorsproject has 21 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
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
0Vulnerabilities148 existing vulnerabilities detected
Direct dependencies 33
RegistryPackageVersion constraintManifest
npm@emotion/react^11.7.1muse/ui/package.json
npm@emotion/styled^11.6.0muse/ui/package.json
npm@mui/icons-material^5.6.2muse/ui/package.json
npm@mui/lab^5.0.0-alpha.64muse/ui/package.json
npm@mui/material^5.2.7muse/ui/package.json
npm@reduxjs/toolkit^1.8.0muse/ui/package.json
npm@stripe/stripe-js^1.29.0muse/ui/package.json
npmaxios^0.27.2muse/ui/package.json
npmboring-avatars^1.6.3muse/ui/package.json
npmcraco^0.0.3muse/ui/package.json
npmfilter-material-ui2.7.0muse/ui/package.json
npmfontfaceobserver^2.1.0muse/ui/package.json
npmlightning-uihttps://github.com/Lightning-AI/lightning-ui.git#1fff090ab288199ad3596381a49ce69d5160b5bcmuse/ui/package.json
npmlodash^4.17.21muse/ui/package.json
npmnotistack^2.0.4muse/ui/package.json
npmquery-string^7.1.0muse/ui/package.json
npmreact^17.0.2muse/ui/package.json
npmreact-dom^17.0.2muse/ui/package.json
npmreact-dropzone^14.2.1muse/ui/package.json
npmreact-github-btn^1.2.1muse/ui/package.json
npmreact-hook-form^7.27.1muse/ui/package.json
npmreact-query^3.34.7muse/ui/package.json
npmreact-router-dom^6.2.1muse/ui/package.json
npmreact-scripts5.0.0muse/ui/package.json
npmreact-spring^9.4.4muse/ui/package.json
npmreact-table^7.7.0muse/ui/package.json
npmrxjs^7.5.2muse/ui/package.json
npmtypescript^4.4.2muse/ui/package.json
npmuse-debounce^7.0.1muse/ui/package.json
npmweb-vitals^2.1.0muse/ui/package.json
npmxterm^4.18.0muse/ui/package.json
npmxterm-addon-fit^0.5.0muse/ui/package.json
npmxterm-addon-search^0.8.2muse/ui/package.json
All dependencies 19

Full resolved dependency set from the GitHub dependency graph: 0 direct and 19 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasgi-ratelimit0.10.0indirect
PyPIasgiref3.7.2indirect
PyPIcoverage7.3.1indirect
PyPIfastapi0.103.2indirect
PyPIflask-corsindirect
PyPIftfy6.1.1indirect
PyPIlightning2.0.*indirect
PyPIlocustindirect
PyPIpillow10.0.1indirect
PyPIpytest7.4.2indirect
PyPIpytest-cov4.1.0indirect
PyPIpython-dotenv1.0.0indirect
PyPIscipyindirect
PyPIsentry-sdkindirect
PyPIslackclient2.9.4indirect
PyPIslackeventsapi3.0.1indirect
PyPIstarlette-exporter0.16.0indirect
PyPIuvicorn0.23.2indirect
PyPIuvloopindirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 13 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow10.0.1indirectcritical2712.3.0
fastapi0.103.2indirecthigh10.109.1
pytest7.4.2indirectmoderate29.0.3
python-dotenv1.0.0indirectmoderate21.2.2

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 v0.23.0 — full methodology · metrics wiki.

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