Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 15:34 UTC

Ratio1 / naeural_core

These modules form the backbone "bare-metal" version of the Naeural Edge Protocol meta-OS

PythonApache-2.0★ 1 star⑂ 0 forkssince Nov 2024View on GitHub ↗
KindLibraryNetwork servicehow this is determined
#decentralized-applications#edge-computing#orchestration#ratio1

Ratio1/naeural_core holds a health index of 45 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (70/100) and lowest on Security (10/100). It was last updated today. A single contributor accounts for most of its recent work.

45
overall / 100
Weak

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.

45
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 47 is calibrated to 45 on the published index scale (record calibration 2026-08-02).

Ownership

Ratio1.aiOrganization
10 followers46 public repossince Jan 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPInaeural_core7.7.3232,41428824 days ago

Metrics by category

Vitality

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

56Moderate · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 0 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 166 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year166
human_commit_share1
days_since_last_push0
active_weeks_last_year41

Release discipline

1Critical
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0

Community & Adoption

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

32At Risk · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars1
watchers1
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 (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
45.1/80Monthly downloads — 2,414 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesnaeural_core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,414
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

31At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11.2/22.5Commit distribution — top contributor authored 50% of commits
8.1/13.5Contributor breadth — 6 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.504

Issue & PR responsiveness

40Weak
How it's scored
0/42Issue resolution — 0% of issues closed
29/30PR acceptance — 212/219 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_prs212
open_issues1
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0
closed_unmerged_prs7
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

53Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
7.5/25Owner reach — 10 followers of Ratio1
15.4/25Track record — 46 public repos, account ~1 yr old
Inputs used
followers10
owner_typeOrganization
is_verifiedno
owner_loginRatio1
public_repos46
account_age_days590

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 24 days ago
20/20Version history — 288 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnaeural_core
ecosystemspypi
any_deprecatedno
min_days_since_publish24

Engineering Quality

Are baseline engineering and documentation practices in place?

70Good · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsdecentralized-applications, edge-computing, orchestration, ratio1
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

10Critical · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

45Weak
How it's scored
12/35Direct dependencies free of known advisories — 1 affected: cryptography 42.0.7 (high 8.2)
5.4/25Indirect dependencies free of known advisories — 1 affected: pyopenssl 25.1.0 (critical 9.8)
27.6/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 737 days ago
Inputs used
sourceosv
advisories15
affected_packages2
assessed_packages148
unassessed_packages0
affected_by_severitycritical 1, high 1
direct_affected_packages1
Matched the pypi:naeural_core@7.7.323 runtime dependency closure — what installing the published package pulls in — 148 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.

56Moderate · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — 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_filesAGENTS.md
agent_instruction_max_bytes44,108

Verify loop (build / test / typecheck)

40Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configno
typecheck_configs—
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.4/55Manageable file sizes — 7/651 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes132,971
source_files_sampled651
oversized_source_files7

Machine-readable interfaces

40Weak
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

1GitHub stars
6contributors
166commits, last 12 months
0days since last push
0releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Direct dependencies 34
RegistryPackageVersion constraintManifest
PyPItorch—pyproject.toml
PyPItorchvision—pyproject.toml
PyPItorchaudio—pyproject.toml
PyPIpaho-mqtt>=1.6pyproject.toml
PyPIpika>=1.3pyproject.toml
PyPIpynvml>=11.4pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIpyarrow>=15pyproject.toml
PyPIratio1>=3.5.50pyproject.toml
PyPIminio—pyproject.toml
PyPIgql—pyproject.toml
PyPIopencv-python-headless—pyproject.toml
PyPIdecord—pyproject.toml
PyPIseaborn—pyproject.toml
PyPIpandas—pyproject.toml
PyPIshapely—pyproject.toml
PyPIscikit-learn—pyproject.toml
PyPIscikit-image—pyproject.toml
PyPIdropbox—pyproject.toml
PyPIpymssql—pyproject.toml
PyPIh5py—pyproject.toml
PyPIunidecode—pyproject.toml
PyPIcryptography==42.0.7pyproject.toml
PyPIfastapi—pyproject.toml
PyPIuvicorn—pyproject.toml
PyPIpydantic—pyproject.toml
PyPIaiofiles—pyproject.toml
PyPIngrok—pyproject.toml
PyPIbs4—pyproject.toml
PyPIweb3—pyproject.toml
PyPIdecentra_vision—pyproject.toml
PyPItransformers>=4.38.0pyproject.toml
PyPItokenizers>=0.14.1pyproject.toml
PyPIsentencepiece—pyproject.toml
All dependencies 55

Full resolved dependency set from the GitHub dependency graph: 34 direct and 21 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles—direct
PyPIbs4—direct
PyPIcryptography42.0.7direct
PyPIdecentra-vision—direct
PyPIdecord—direct
PyPIdropbox—direct
PyPIfastapi—direct
PyPIgql—direct
PyPIh5py—direct
PyPIminio—direct
PyPIngrok—direct
PyPIopencv-python-headless—direct
PyPIpaho-mqtt—direct
PyPIpandas—direct
PyPIpika—direct
PyPIpyarrow—direct
PyPIpydantic—direct
PyPIpymssql—direct
PyPIpynvml—direct
PyPIpyyaml—direct
PyPIratio1—direct
PyPIscikit-image—direct
PyPIscikit-learn—direct
PyPIseaborn—direct
PyPIsentencepiece—direct
PyPIshapely—direct
PyPItokenizers—direct
PyPItorch—direct
PyPItorchaudio—direct
PyPItorchvision—direct
PyPItransformers—direct
PyPIunidecode—direct
PyPIuvicorn—direct
PyPIweb3—direct
PyPIaccelerate0.30.1indirect
PyPIbitsandbytes0.43.1indirect
PyPIflask1.0.2indirect
PyPIgunicorn19.9.0indirect
PyPIkmonitor—indirect
PyPImatplotlib—indirect
PyPInumpy—indirect
PyPInvidia-cudnn-cu12—indirect
PyPIonnx—indirect
PyPIonnxruntime-openvino1.17.1indirect
PyPIonnxsim—indirect
PyPIopencv-python—indirect
PyPIopenvino2024.1.0indirect
PyPIpillow—indirect
PyPIpip19.2indirect
PyPIprotobuf5.28.3indirect
PyPIpython-telegram-bot—indirect
PyPIscipy—indirect
PyPItensorboard—indirect
PyPIthop—indirect
PyPItqdm—indirect
Dependency advisories 2

Installing pypi:naeural_core@7.7.323 pulls in 148 packages, direct and transitive: 2 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
pyopenssl25.1.0indirectcritical426.0.0
cryptography42.0.7directhigh1149.0.0

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.

Raw JSON report machine-readable

Feedback

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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.