Lists (15)
Stars
Replication package of "Simplifying Software Compliance: AI Technologies in Drafting Technical Documentation for the AI Act".
Annex IV technical documentation generator for AI systems — Article 11 EU AI Act compliance infrastructure
Stay Legal with AI: GDPR & EU AI Act Compliance for AI/ML (Explained).
AI BOM example. A simple sentiment analysis application, published solely as an artifact for the purpose of demonstrating a software bill of materials. Not recommended for any serious text classifi…
Automated transparency, woven from the ground up. SBOM generation for Python & AI projects. Extract metadata from GGUF, ONNX, PyTorch, and Safetensors models with native Hatchling build-hook support.
A Python CLI and library to get the SPDX License ID from license text
An in-memory NoSQL database implemented in Python.
OSLILI - Open Source License Identification Library
The Context Platform for your Data and AI Stack
Backported and experimental type hints for Python
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI…
The open-source standard for deterministic process logging in Human-AI collaboration. Moving past AI detection toward transparency
🏆Open Source Security Foundation (OpenSSF) Best Practices Badge (formerly Core Infrastructure Initiative (CII) Best Practices Badge)
An SCA tool for creating an SPDX SBOM for a https://pypi.org/ package.
Securing open-source package ecosystems by originating, validating, and augmenting build attestations.
A non-exhaustive list of package manager hardening reccomendations to help prevent supply chain vulnerability attacks
AI skill for securing software dependencies
Machine-readable specification for the attestation of security-relevant data.
ORBIT: Open Resources for Baselines, Interoperability, and Tooling
The home of the CUE language! Validate and define text-based and dynamic configuration
Open source project for data preparation for GenAI applications