Open source privacy-friendly analytics
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Updated
Jul 18, 2025 - TypeScript
Open source privacy-friendly analytics
DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.
Discovery Protocol
a recommender engine node-js package for general use and easy to integrate.
Distributed, collaborative, offline-first time tracking app ⏱
Privacy Preserving Platform using Computational Integrity Proofs for Amplifying, Accentuating and Aggregating Social Signals
HiveBridge backend for collaborative AI development in healthcare.
Free, open-source privacy resource center.
Privacy-preserving income statistics platform powered by FHEVM (Fully Homomorphic Encryption Virtual Machine). Submit encrypted income data on-chain while maintaining complete privacy.
Capstone Project at HCMUT of System for Preserving Privacy in Data Sharing
🤖 Enhance coding with Plato, a CLI-compatible AI assistant that streamlines coding tasks while integrating seamlessly with GitHub Copilot.
Add a description, image, and links to the privacy-preserving topic page so that developers can more easily learn about it.
To associate your repository with the privacy-preserving topic, visit your repo's landing page and select "manage topics."