Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-28 02:48 UTC

paiml / aprender

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

Rust · HTMLMIT★ 110 stars⑂ 21 forkssince Nov 2025View on GitHub ↗

paiml/aprender holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (100/100) and lowest on Security (33/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Pragmatic AI LabsOrganization
313 followers188 public repossince Nov 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
crates.ioaprender0.61.03,595791 day agocligpuinferencemachine-learningsimdcommand-line-utilitiesscience

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 3,828 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year3,828
human_commit_share0.99
days_since_last_push0
active_weeks_last_year32

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 80 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count80
latest_release_tagnightly
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.7

Community & Adoption

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

57Moderate · 17% of overall
How it's scored
33/60Stars — 110 stars
10.8/25Forks — 21 forks
0/15Watchers — 1 watchers
Inputs used
forks21
stars110
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
47.4/80Monthly downloads — 3,595 downloads/month across crates
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaprender
dependents
ecosystemscrates
total_downloads68,763
monthly_downloads3,595
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
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.995
How it's scored
41.7/42Issue resolution — 99% of issues closed
20.8/30PR acceptance — 1,125/1,624 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs1,125
open_issues4
closed_issues693
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.994
closed_unmerged_prs499
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 backing — organization-owned
0/20Verified domain
18/25Owner reach — 313 followers of paiml
25/25Track record — 188 public repos, account ~9 yr old
Inputs used
followers313
owner_typeOrganization
is_verified
owner_loginpaiml
public_repos188
account_age_days3,536

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on crates
35/35Publish recency — latest publish 1 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaprender
ecosystemscrates
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://paiml.github.io/aprender/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsdeep-learning, ml, models, rust, statistics, sovereign-ai, paiml-monorepo
has_wikiyes
homepagehttps://paiml.github.io/aprender/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

33At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesCargo.lock, Pipfile.lock, package-lock.json, uv.lock
manifestsCargo.toml, fuzz/Cargo.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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.

89Excellent · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md, crates/aprender-compute/CLAUDE.md, crates/aprender-contracts-staging/CLAUDE.md, crates/aprender-data/CLAUDE.md, crates/aprender-db/CLAUDE.md, crates/aprender-distribute/CLAUDE.md, crates/aprender-graph/CLAUDE.md, crates/aprender-orchestrate/CLAUDE.md, crates/aprender-present/CLAUDE.md, crates/aprender-profile/CLAUDE.md, crates/aprender-rag/CLAUDE.md, crates/aprender-registry/CLAUDE.md, crates/aprender-serve/CLAUDE.md, crates/aprender-simulate/CLAUDE.md, crates/aprender-test/CLAUDE.md, crates/aprender-train/CLAUDE.md, crates/aprender-verify-ml/CLAUDE.md, crates/aprender-verify/CLAUDE.md, crates/aprender-viz/CLAUDE.md, crates/aprender-zram/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_filesCLAUDE.md, crates/aprender-compute/CLAUDE.md, crates/aprender-contracts-staging/CLAUDE.md, crates/aprender-data/CLAUDE.md, crates/aprender-db/CLAUDE.md, crates/aprender-distribute/CLAUDE.md, crates/aprender-graph/CLAUDE.md, crates/aprender-orchestrate/CLAUDE.md, crates/aprender-present/CLAUDE.md, crates/aprender-profile/CLAUDE.md, crates/aprender-rag/CLAUDE.md, crates/aprender-registry/CLAUDE.md, crates/aprender-serve/CLAUDE.md, crates/aprender-simulate/CLAUDE.md, crates/aprender-test/CLAUDE.md, crates/aprender-train/CLAUDE.md, crates/aprender-verify-ml/CLAUDE.md, crates/aprender-verify/CLAUDE.md, crates/aprender-viz/CLAUDE.md, crates/aprender-zram/CLAUDE.md
agent_instruction_max_bytes33,459
How it's scored
18/18One-command bootstrap — Makefile, crates/aprender-compute/justfile, crates/aprender-data/justfile, crates/aprender-db/justfile, crates/aprender-distribute/justfile, crates/aprender-graph/justfile, crates/aprender-orchestrate/justfile, crates/aprender-present/justfile, crates/aprender-profile/justfile, crates/aprender-rag/justfile, crates/aprender-registry/justfile, crates/aprender-serve/justfile, crates/aprender-simulate/mise.toml, crates/aprender-train/justfile, crates/aprender-verify/justfile, crates/aprender-viz/justfile, crates/aprender-zram/justfile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — Rust (statically typed)
10/10Reproducible environment — devcontainer, Dockerfile, Nix, lockfile
10/10Demonstrated agent practice — 86 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixyes
has_testsyes
lockfilesCargo.lock, Pipfile.lock, package-lock.json, uv.lock
has_dockerfileyes
typed_languageyes
bootstrap_filesMakefile, crates/aprender-compute/justfile, crates/aprender-data/justfile, crates/aprender-db/justfile, crates/aprender-distribute/justfile, crates/aprender-graph/justfile, crates/aprender-orchestrate/justfile, crates/aprender-present/justfile, crates/aprender-profile/justfile, crates/aprender-rag/justfile, crates/aprender-registry/justfile, crates/aprender-serve/justfile, crates/aprender-simulate/mise.toml, crates/aprender-train/justfile, crates/aprender-verify/justfile, crates/aprender-viz/justfile, crates/aprender-zram/justfile
has_devcontaineryes
has_linter_configyes
typecheck_configs
agent_commit_share0.86
toolchain_manifestsCargo.toml, book/crates/aprender-shell/Cargo.toml, crates/apr-cli/Cargo.toml, crates/apr-format/Cargo.toml, crates/aprender-bench-compute/Cargo.toml, crates/aprender-bench-tokenizer/Cargo.toml, crates/aprender-cbtop/Cargo.toml, crates/aprender-cgp/Cargo.toml, crates/aprender-common/Cargo.toml, crates/aprender-compute-xtask/Cargo.toml, crates/aprender-compute/Cargo.toml, crates/aprender-contracts-cli/Cargo.toml, crates/aprender-contracts-macros/Cargo.toml, crates/aprender-contracts/Cargo.toml, crates/aprender-core/Cargo.toml, crates/aprender-cuda-edge/Cargo.toml, crates/aprender-cupti/Cargo.toml, crates/aprender-data/Cargo.toml, crates/aprender-db/Cargo.toml, crates/aprender-db/wasm-pkg/Cargo.toml, crates/aprender-distribute/Cargo.toml, crates/aprender-explain/Cargo.toml, crates/aprender-fft/Cargo.toml, crates/aprender-gemm-codegen/Cargo.toml, crates/aprender-gpu/Cargo.toml, crates/aprender-gpu/fuzz/Cargo.toml, crates/aprender-graph/Cargo.toml, crates/aprender-image/Cargo.toml, crates/aprender-mcp/Cargo.toml, crates/aprender-monte-carlo/Cargo.toml, crates/aprender-orchestrate/Cargo.toml, crates/aprender-orchestrate/book/examples/quick-start/Cargo.toml, crates/aprender-present-cli/Cargo.toml, crates/aprender-present-core/Cargo.toml, crates/aprender-present-layout/Cargo.toml, crates/aprender-present-lib/Cargo.toml, crates/aprender-present-terminal/Cargo.toml, crates/aprender-present-test-macros/Cargo.toml, crates/aprender-present-test/Cargo.toml, crates/aprender-present-widgets/Cargo.toml, crates/aprender-present-yaml/Cargo.toml, crates/aprender-present/Cargo.toml, crates/aprender-profile-core/Cargo.toml, crates/aprender-profile/Cargo.toml, crates/aprender-profile/fuzz/Cargo.toml, crates/aprender-ptx-debug/Cargo.toml, crates/aprender-qa-certify/Cargo.toml, crates/aprender-qa-cli/Cargo.toml, crates/aprender-qa-gen/Cargo.toml, crates/aprender-qa-report/Cargo.toml, crates/aprender-qa-runner/Cargo.toml, crates/aprender-quant/Cargo.toml, crates/aprender-rag-cli/Cargo.toml, crates/aprender-rag/Cargo.toml, crates/aprender-rand/Cargo.toml, crates/aprender-registry/Cargo.toml, crates/aprender-serve/Cargo.toml, crates/aprender-shell/Cargo.toml, crates/aprender-simulate/Cargo.toml, crates/aprender-solve/Cargo.toml, crates/aprender-sparse/Cargo.toml, crates/aprender-tensor/Cargo.toml, crates/aprender-test-cli/Cargo.toml, crates/aprender-test-derive/Cargo.toml, crates/aprender-test-js-gen/Cargo.toml, crates/aprender-test-lib/Cargo.toml, crates/aprender-test-showcase/Cargo.toml, crates/aprender-test/Cargo.toml, crates/aprender-train-bench/Cargo.toml, crates/aprender-train-canary/Cargo.toml, crates/aprender-train-common/Cargo.toml, crates/aprender-train-distill/Cargo.toml, crates/aprender-train-inspect/Cargo.toml, crates/aprender-train-lora/Cargo.toml, crates/aprender-train-shell/Cargo.toml, crates/aprender-train-wasm/Cargo.toml, crates/aprender-train/Cargo.toml, crates/aprender-train/fuzz/Cargo.toml, crates/aprender-tsp/Cargo.toml, crates/aprender-verify-ml/Cargo.toml, crates/aprender-verify-ml/depyler_tests/Cargo.toml, crates/aprender-verify/Cargo.toml, crates/aprender-verify/fuzz/Cargo.toml, crates/aprender-viz-ttop/Cargo.toml, crates/aprender-viz/Cargo.toml, crates/aprender-viz/wasm-pkg/Cargo.toml, crates/aprender-zram-adaptive/Cargo.toml, crates/aprender-zram-cli/Cargo.toml, crates/aprender-zram-core/Cargo.toml, crates/aprender-zram-generator/Cargo.toml, crates/aprender-zram/Cargo.toml, crates/aprender-zram/bins/trueno-ublk/Cargo.toml, experiments/cuda-oxide/incremental-attention/Cargo.toml, experiments/cuda-oxide/q4k-matvec-reference/Cargo.toml, experiments/cuda-oxide/q4k-matvec/Cargo.toml, experiments/cuda-oxide/rmsnorm/Cargo.toml, experiments/cuda-oxide/rope/Cargo.toml, experiments/cuda-oxide/swiglu/Cargo.toml, fuzz/Cargo.toml, tools/ccpa-sft-export/Cargo.toml
dependency_bot_commit_share0.01
How it's scored
45/45Type-checkable code — Rust (statically typed)
54.4/55Manageable file sizes — 108/10,102 source files over 60KB
Inputs used
primary_languageRust
largest_source_bytes2,667,011
source_files_sampled10,102
oversized_source_files108
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — cookbook, demos, examples, recipes
Inputs used
example_dirscookbook, demos, examples, recipes
has_mcp_signalyes
api_schema_files

Key facts

110GitHub stars
3contributors
3,828commits, last 12 months
0days since last push
80releases
1bus factor
4open issues
crates.iopackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 21 ⇿
0Stars
21Forks
67Releases

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.

0481216202012025-112026-032026-07
Major 0Minor 33Patch 34
Direct dependencies 2
RegistryPackageVersion constraintManifest
crates.ioapr-cli0.61.0Cargo.toml
crates.ioaprender_ml0.61.0Cargo.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Raw JSON report machine-readable

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 statisticscrates.io.