Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-29 21:47 UTC

avitai / artifex

A research-focused modular generative modeling library built on JAX/Flax NNX

PythonMIT★ 1 star⑂ 0 forkssince Jan 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#diffusion-models#flax-nnx#generative-ai#generative-models#jax#research#autoregressive-model#diffusion-model#energy-based-models#gans#generative-adversarial-network#geometric-deep-learning#geometric-models#multi-modal#normalizing-flows#vae#variational-autoencoder

avitai/artifex holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (95/100) and lowest on Community & Adoption (39/100). It was last updated today. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Avitai BioOrganization
4 followers7 public repossince May 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIavitai-artifex0.1.42,89340 days agodeep-learningflaxgenerative-modelsjax

Metrics by category

Vitality

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

78Good · 21% of overall

Development activity

64Moderate
How it's scored
36/36Push recency — last push 0 days ago
4.2/36Commit cadence — 6/52 weeks with commits
13.3/18Commit volume — 29 commits in the last year
10/10OpenSSF Scorecard: Maintained — 24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year29
human_commit_share1
days_since_last_push0
active_weeks_last_year6

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~31.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv0.1.4
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases31.5
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?

39Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

58Moderate
How it's scored
46.2/80Monthly downloads — 2,893 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesavitai-artifex
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,893
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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

81Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
27/30PR acceptance — 9/10 decided PRs merged
11.7/13Newcomer PR acceptance — 9/10 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs9
open_issues0
closed_issues1
prs_merged_7d9
prs_decided_7d10
prs_merged_30d9
prs_decided_30d10
issue_closed_ratio1
closed_unmerged_prs1
first_time_authors_30d1
first_time_prs_merged_30d9
first_time_prs_decided_30d10

Ownership & stewardship

48Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5/25Owner reach — 4 followers of avitai
13.2/25Track record — 7 public repos, account ~3 yr old
Inputs used
followers4
owner_typeOrganization
is_verifiedno
owner_loginavitai
public_repos7
account_age_days1,216

Package maintenance

92Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
12/20Version history — 4 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesavitai-artifex
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://artifex.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsdiffusion-models, flax-nnx, generative-ai, generative-models, jax, research, autoregressive-model, diffusion-model, energy-based-models, gans, generative-adversarial-network, geometric-deep-learning, geometric-models, multi-modal, normalizing-flows, vae, variational-autoencoder
has_wikiyes
homepagehttps://artifex.readthedocs.io/en/latest/
docs_sitehttps://artifex.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

47Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
7.5/7.5Maintained — 24 commit(s) and 0 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
0/5SAST — no SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): CI-Tests, 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
advisories2
affected_packages1
assessed_packages392
unassessed_packages0
affected_by_severitymoderate 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 392 resolved dependencies against OSV. 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.

61Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 31 of 35 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.886
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

54Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.ruff])
11/11Static type checking — src/artifex/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 35
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_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/artifex/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/artifex/py.typed)
54.9/55Manageable file sizes — 1/870 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes96,097
source_files_sampled870
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

1GitHub stars
1contributors
29commits, last 12 months
0days since last push
5releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:avitai-artifex@0.1.4; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-08-29 21:46 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 0 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
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
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Full resolved dependency set from the GitHub dependency graph: 25 direct and 367 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPInvidia-cuda-runtime-cu1212.9.79indirect
PyPInvidia-cudnn-cu129.24.0.43indirect
PyPInvidia-cufft-cu1211.4.1.4indirect
PyPInvidia-cusolver-cu1211.7.5.82indirect
PyPInvidia-cusparse-cu1212.5.10.65indirect
PyPInvidia-nccl-cu122.31.2indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvshmem-cu123.7.2indirect
PyPIoauthlib3.3.1indirect
PyPIopentelemetry-api1.40.0indirect
PyPIopentelemetry-proto1.40.0indirect
PyPIopentelemetry-sdk1.40.0indirect
PyPIopentelemetry-semantic-conventions0.61b0indirect
PyPIopt-einsum3.4.0indirect
PyPIoptree0.19.0indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpandas2.3.3indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.6indirect
PyPIpathspec1.0.4indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.9.4indirect
PyPIpluggy1.6.0indirect
PyPIportpicker1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprettytable3.17.0indirect
PyPIprometheus-client0.24.1indirect
PyPIpromise2.3indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf5.29.6indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpy1.11.0indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-serializable2.1.0indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpydeps3.0.2indirect
PyPIpydoclint0.9.1indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.5indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyright1.1.408indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-env1.5.0indirect
PyPIpytest-json-report1.5.0indirect
PyPIpytest-metadata3.1.1indirect
PyPIpytest-randomly4.0.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpython-fasthtml0.12.48indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytz2026.1.post1indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.1.0indirect
PyPIradon6.0.1indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrequirements-parser0.13.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.15.5indirect
PyPIsecretstorage3.5.0indirect
PyPIsend2trash2.1.0indirect
PyPIsentry-sdk2.54.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsimple-parsing0.1.8indirect
PyPIsimplejson3.20.2indirect
PyPIsix1.17.0indirect
PyPIskops0.13.0indirect
PyPIsmmap5.0.3indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9.1indirect
PyPIsqlalchemy2.0.48indirect
PyPIsqlparse0.6.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIstdlib-list0.12.0indirect
PyPIstevedore5.7.0indirect
PyPItabulate0.10.0indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorflow2.20.0indirect
PyPItensorflow-datasets4.9.9indirect
PyPItensorflow-metadata1.17.3indirect
PyPItensorstore0.1.81indirect
PyPItermcolor3.3.0indirect
PyPIterminado0.18.1indirect
PyPItfp-nightly0.26.0.dev20260310indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.4.0indirect
PyPItokenize-rt6.2.0indirect
PyPItoml0.10.2indirect
PyPItomli2.4.0indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.14.0indirect
PyPItoolz1.1.0indirect
PyPItornado6.5.7indirect
PyPItraitlets5.14.3indirect
PyPItreescope0.1.10indirect
PyPItwine7.0.0indirect
PyPItypes-psutil7.2.2.20260130indirect
PyPItypes-requests2.32.4.20260324indirect
PyPItypes-tqdm4.67.3.20260303indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.2.0indirect
PyPIvulture2.16indirect
PyPIwadler-lindig0.1.7indirect
PyPIwaitress3.0.2indirect
PyPIwandb0.25.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwemake-python-styleguide1.6.1indirect
PyPIwerkzeug3.1.6indirect
PyPIwheel0.46.3indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt2.1.2indirect
PyPIxenon0.9.3indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.23.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 392 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
cryptography49.0.0indirectmoderate250.0.0

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.

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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.