Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-31 07:48 UTC

transformerlab / transformerlab-api

API Server for Transformer Lab

PythonAGPL-3.0★ 84 stars⑂ 42 forkssince Dec 2023View on GitHub ↗

transformerlab/transformerlab-api holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (69/100) and lowest on AI Readiness (35/100). It was last updated 252 days ago. 2 contributors account for most of its recent work.

63
overall / 100
Moderate

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.

63
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 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

Transformer LabOrganization
355 followers17 public repossince Oct 2023

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?

51Moderate · 21% of overall

Development activity

33At Risk
How it's scored
3.6/36Push recency — last push 252 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 1,623 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year1,623
human_commit_share1
days_since_last_push252
active_weeks_last_year16

Release discipline

78Good
How it's scored
27/27Ships releases — 100 releases published
16.2/36Release recency — latest release 259 days ago
27/27Release cadence — a release every ~8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.25.0
releases_from_tagsno
days_since_latest_release259
mean_days_between_releases8
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?

48Weak · 17% of overall

Popularity & adoption

47Weak
How it's scored
31.1/60Stars — 84 stars
13.4/25Forks — 42 forks
2.7/15Watchers — 4 watchers
Inputs used
forks42
stars84
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (AGPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

69Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.3/22.5Commit distribution — top contributor authored 41% of commits
13.5/13.5Contributor breadth — 21 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled21
top_contributor_share0.409

Issue & PR responsiveness

85Excellent
How it's scored
0/42Issue resolution — no issues or no data
26.4/30PR acceptance — 605/687 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 8/9 approved changesets -- score normalized to 8
Inputs used
merged_prs605
open_issues0
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio—
closed_unmerged_prs82
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Issue resolution, newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

63Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.3/25Owner reach — 355 followers of transformerlab
14.7/25Track record — 17 public repos, account ~2 yr old
Inputs used
followers355
owner_typeOrganization
is_verified—
owner_logintransformerlab
public_repos17
account_age_days1,015

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 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

40Weak
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

65Good · 16% of overall

Security posture

56Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 8 out of 8 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
6/7.5Code-Review — Found 8/9 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 6 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 157 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories398
affected_packages46
assessed_packages244
unassessed_packages35
affected_by_severitycritical 8, high 31, moderate 6, low 1
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 244 resolved dependencies against OSV. 35 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.

35Weak · 4% of overall

Agent context & guidance

12Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
11.7/40Legible commit history — 22 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.22
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

45Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
0/11Static type checking
10/10Reproducible environment — Dockerfile
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
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/222 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes60,181
source_files_sampled222
oversized_source_files1

Key facts

84GitHub stars
21contributors
1,623commits, last 12 months
252days since last push
100releases
2bus factor
0open 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 ★ / 42 ⇿
0Stars
42Forks
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.

010203040504232024-012024-122025-11
Major 0Minor 21Patch 79

Each point covers 2 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-07-31 07:48 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 8/9 approved changesets -- score normalized to 8
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities157 existing vulnerabilities detected
All dependencies 279

Full resolved dependency set from the GitHub dependency graph: 0 direct and 279 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIaccelerate—indirect
PyPIaccelerate1.3.0indirect
PyPIaccelerate1.6.0indirect
PyPIaiofiles—indirect
PyPIaiofiles24.1.0indirect
PyPIaiohappyeyeballs2.4.4indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.11.11indirect
PyPIaiohttp3.11.18indirect
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PyPIaiosqlite—indirect
PyPIaiosqlite0.20.0indirect
PyPIaiosqlite0.21.0indirect
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PyPIanyio4.9.0indirect
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PyPImcp—indirect
PyPImcp1.8.1indirect
PyPImcp1.9.1indirect
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PyPImlx-lm—indirect
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PyPImsal1.32.3indirect
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PyPInh30.2.21indirect
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PyPInumpy—indirect
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PyPInvidia-cuda-runtime-cu1212.8.90indirect
PyPInvidia-cudnn-cu129.10.2.21indirect
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PyPInvidia-ml-py—indirect
PyPInvidia-ml-py12.575.51indirect
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PyPIpackaging—indirect
PyPIpackaging24.1indirect
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PyPIpdfminer-six20250327indirect
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PyPIpydantic—indirect
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PyPIpyrsmi—indirect
PyPIpyrsmi0.2.0indirect
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PyPIpython-dotenv—indirect
PyPIpython-dotenv1.0.1indirect
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PyPIpython-multipart—indirect
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PyPIscipy—indirect
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PyPIsentencepiece—indirect
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PyPIsqlalchemy2.0.38indirect
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PyPItensorboard—indirect
PyPItensorboard2.18.0indirect
PyPItensorboard2.19.0indirect
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PyPItensorboardx—indirect
PyPItensorboardx2.6.2.2indirect
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PyPItifffile2025.6.11indirect
PyPItiktoken—indirect
PyPItiktoken0.8.0indirect
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PyPItimm1.0.15indirect
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PyPItorch2.8.0indirect
PyPItorch2.8.0+rocm6.4indirect
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PyPItorchaudio2.8.0+rocm6.4indirect
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PyPItorchvision0.23.0+rocm6.4indirect
PyPItqdm4.66.5indirect
PyPItransformerlab0.0.45indirect
PyPItransformerlab-inference0.2.51indirect
PyPItransformers—indirect
PyPItransformers4.57.1indirect
PyPItriton3.4.0indirect
PyPItyper0.15.4indirect
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PyPItzdata2025.1indirect
PyPItzdata2025.2indirect
PyPIurllib31.26.13indirect
PyPIuvicorn0.34.0indirect
PyPIuvicorn0.34.2indirect
PyPIwandb—indirect
PyPIwandb0.19.10indirect
PyPIwatchfiles—indirect
PyPIwatchfiles1.0.4indirect
PyPIwatchfiles1.0.5indirect
PyPIwavedrom2.0.3.post3indirect
PyPIwcwidth0.2.13indirect
PyPIwerkzeug—indirect
PyPIwerkzeug3.1.3indirect
PyPIworkos—indirect
PyPIworkos5.28.0indirect
PyPIxlrd2.0.1indirect
PyPIxlsxwriter3.2.2indirect
PyPIxlsxwriter3.2.3indirect
PyPIxxhash3.5.0indirect
PyPIyarl1.18.3indirect
PyPIyarl1.20.0indirect
PyPIyoutube-transcript-api1.0.3indirect
PyPIzipp3.19.2indirect
Dependency advisories 46

This repository publishes no package the index resolves, so its own dependency graph was assessed — 244 packages, which also include development and test pins that never ship: 46 carry known advisories, of which 0 are direct. 35 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.11.11indirectcritical603.14.1
aiohttp3.11.18indirectcritical603.14.1
gitpython3.1.44indirectcritical173.1.55
h110.14.0indirectcritical20.16.0
mammoth1.9.0indirectcritical21.11.0
nltk3.9.1indirectcritical183.10.0
pillow11.0.0indirectcritical3412.3.0
transformers4.57.1indirectcritical85.5.0
azure-core1.33.0indirecthigh21.38.0
certifi2022.12.7indirecthigh42024.7.4
click8.1.8indirecthigh18.3.3
cryptography44.0.2indirecthigh548.0.1
diffusers0.33.1indirecthigh50.38.0
idna3.4indirecthigh43.15
jinja23.1.4indirecthigh63.1.6
lxml5.3.2indirecthigh26.1.0
lxml5.4.0indirecthigh26.1.0
markdown3.7indirecthigh23.8.1
markdown3.8indirecthigh23.8.1
mcp1.8.1indirecthigh101.28.1
mcp1.9.1indirecthigh101.28.1
msgpack1.1.1indirecthigh11.2.1
pdfminer-six20250327indirecthigh420251230
pdfminer-six20250416indirecthigh420251230
protobuf5.29.3indirecthigh46.33.5
protobuf5.29.4indirecthigh46.33.5
pyarrow19.0.0indirecthigh223.0.1
pyarrow20.0.0indirecthigh223.0.1
pyjwt2.10.1indirecthigh132.13.0
python-multipart0.0.20indirecthigh140.0.31
sentencepiece0.2.0indirecthigh20.2.1
setuptools70.2.0indirecthigh483.0.0
soupsieve2.6indirecthigh42.8.4
soupsieve2.7indirecthigh42.8.4
starlette0.45.3indirecthigh141.3.1
starlette0.46.2indirecthigh141.3.1
torch2.8.0indirecthigh82.13.0
torch2.8.0+rocm6.4indirecthigh82.13.0
urllib31.26.13indirecthigh162.7.0
filelock3.13.1indirectmoderate43.20.3
pytest8.4.2indirectmoderate29.0.3
python-dotenv1.0.1indirectmoderate21.2.2
python-dotenv1.1.0indirectmoderate21.2.2
requests2.32.5indirectmoderate22.33.0
werkzeug3.1.3indirectmoderate63.1.6
pygments2.19.1indirectlow22.20.0

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

Related records

Inspected repositories sharing catalogue tags or ecosystems with transformerlab/transformerlab-api. Read them side by side →

100onnx/onnxOpen standard for machine learning interoperabilityExceptional100open-telemetry/opentelemetry-pythonOpenTelemetry Python API and SDK Exceptional100envoyproxy/envoyCloud-native high-performance edge/middle/service proxyExceptional100Elastic/beats:tropical_fish: Beats - Lightweight shippers for Elasticsearch & LogstashExceptional100ray-project/rayRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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