Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
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Updated
Sep 14, 2026 - C++
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
Homomorphic Encryption demos
A unified framework for privacy-preserving data analysis and machine learning
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
Concrete: TFHE Compiler that converts python programs into FHE equivalent
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
A library for lattice-based multiparty homomorphic encryption in Go
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources
This is the development repository for the OpenFHE library. The current version is 1.5.1 (released on April 10, 2026).
A library for doing homomorphic encryption operations on tensors
GPU-accelerated homomorphic encryption in Python: Paillier and BFV, with encrypted nearest-neighbour search. Experimental research code.
Homomorphic Encryption library and applications in Swift
A library for Partially Homomorphic Encryption in Python
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
A Privacy-Preserving Framework Based on TensorFlow
A curated list of amazing Fully Homomorphic Encryption (FHE) resources created by the team at Zama.
A private blockDAG with Homomorphic Encryption and Smart Contracts
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Cingulata (pronounced "tchingulata") is a compiler toolchain and RTE for running C++ programs over encrypted data by means of fully homomorphic encryption techniques.
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