jherrodthomas

jherrodthomas / compliance-checker-algo

Public

Standard-agnostic compliance checker engine. 8-layer NLP pipeline (TF-IDF, graph analysis, ensemble classification, fuzzy matching) that maps any safety standard to any work product and generates compliance reports. Electron desktop app included.

automotive compliance cybersecurity electron functional-safety
220
0
100% credibility
Found Apr 24, 2026 at 219 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source tool that analyzes work documents against any safety standard to generate detailed compliance reports via scripts or a desktop app.

How It Works

1
🔍 Discover the safety checker

You find a helpful tool that automatically reviews your work documents against safety rules to spot what's compliant or missing.

2
💻 Set up the desktop app

Download the program and open it on your computer – it's ready to use right away.

3
📁 Gather your documents

Put your safety standard file and work papers like PDFs or Word docs into one folder.

4
🚀 Start the analysis

Select your folder and click go – the tool reads everything and runs smart checks to compare them.

5
⏳ Watch it work

Follow the progress as it examines matches, gaps, and risks step by step.

📄 Get your compliance report

Receive easy-to-read reports in formats like PDF or interactive web pages, clearly showing strengths, issues, and fixes needed.

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Star Growth

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AI-Generated Review

What is compliance-checker-algo?

This Python-based compliance checker engine runs an 8-layer algo pipeline—TF-IDF, graph analysis, ensemble classification, fuzzy matching—to map any safety standard against work products like DOCX, PDF, or MD files, generating detailed compliance reports in JSON, DOCX, PDF, or HTML. It solves manual cross-referencing drudgery for standards like ISO 26262 or IEC 61508 by auto-discovering schemas without hardcoded rules. Users get a CLI like `python agnostic_engine.py standard.json artifact.docx --format all` or an included Electron desktop app for drag-and-drop analysis.

Why is it gaining traction?

It stands out as truly standard-agnostic, handling future-proof standards via NLP-driven layers that catch semantic gaps alternatives miss with rigid templates. The desktop app makes it dead simple to run locally without setup hassles, and report generation includes visual dashboards for quick insights. Developers hook on the zero-dependency Python core and multi-format outputs that plug into CI/CD.

Who should use this?

Functional safety engineers auditing automotive ECUs against ISO 26262, aerospace teams tracing DO-178C requirements, or compliance leads in medtech verifying IEC 62304 docs. Ideal for devs maintaining traceability matrices or QA automating gap analysis on design specs and test reports.

Verdict

Promising engine for compliance automation, with solid docs and examples, but modest 89 stars and 1.0% credibility score signal early maturity—test thoroughly on real standards before production. Grab it if you're prototyping safety workflows; skip for mission-critical audits until more battle-tested.

(198 words)

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