# Awesome Homomorphic Encryption [](https://awesome.re) > A curated list of amazing Homomorphic Encryption libraries, software and resources. ## Contents - [Libraries](#libraries) - [Toolkits](#toolkits) - [Applications](#applications) - [Databases](#databases) - [Resources](#resources) ## Libraries Libraries that can be used to implement applications using (Fully) Homomorphic Encryption. - [concrete](https://github.com/zama-ai/concrete) - Rust FHE library that implements Zama's variant of TFHE. - [cuFHE](https://github.com/vernamlab/cuFHE) - CUDA-accelerated Fully Homomorphic Encryption Library. - [cuHE](https://github.com/vernamlab/cuHE) - GPU-accelerated HE library for NVIDIA CUDA-Enabled GPUs. - [Cupcake](https://github.com/facebookresearch/Cupcake) - Facebook's Rust library for the (additive version of the) Fan-Vercauteren scheme. - [cuYASHE](https://github.com/cuyashe-library/cuyashe) - Based on leveled fully HE scheme YASHE for GPGPUs. - [FHEW](https://github.com/lducas/FHEW) - A Fully HE library based on [_FHEW: Bootstrapping Homomorphic Encryption in less than a second_](https://eprint.iacr.org/2014/816). - [FV-NFLlib](https://github.com/CryptoExperts/FV-NFLlib) - A header-only library implementing the Fan-Vercauteren scheme. - <a name="HEAAN">[HEAAN](https://github.com/snucrypto/HEAAN) - Scheme with native support for fixed point approximate arithmetic. - [HEAAN-Python](https://github.com/Huelse/HEAAN-Python) - Python binding for the [HEANN](#HEAAN) library. - <a name="HElib">[HElib](https://github.com/HomEnc/HElib) - BGV scheme with bootstrapping and the Approximate Number CKKS scheme. - [HEMat](https://github.com/K-miran/HEMat) - C++ implementation of matrix computation (addition, multiplication, and transposition) using [HEANN](#HEAAN). - [krypto](https://github.com/kryptnostic/krypto) - C++ implementation of multivariate quadratic FHE. - [Λ ○ λ](https://github.com/cpeikert/Lol) - "Lol" Haskell library for ring-based lattice cryptography that supports FHE. - <a name="lattigo">[lattigo](https://github.com/ldsec/lattigo) - Go library for lattice-based crypto that implements various schemes. - [libScarab](https://github.com/hcrypt-project/libScarab) - C library implementing a FHE scheme using large integers. - [libshe](https://github.com/bogdan-kulynych/libshe) - Symmetric somewhat HE library based on DGHV scheme. - <a name="SEAL">[Microsoft SEAL](https://github.com/microsoft/SEAL) - C++ FHE library implementing BFV and CKKS schemes.</a> - [NFLlib](https://github.com/quarkslab/NFLlib) - NTT-based Fast Lattice library specialized on power-of-two polynomials. - [node-seal](https://github.com/morfix-io/node-seal) - JavaScript/WebAssembly port of [Microsoft SEAL](#SEAL). - [NuFHE](https://github.com/nucypher/nufhe) - GPU-accelerated HE library, faster than cuFHE, that implements the [tfhe](#tfhe) algorithms. - <a name="PALISADE">[PALISADE](https://palisade-crypto.org/software-library) - lattice encryption library. - [petlib](https://github.com/gdanezis/petlib) - Python library that implements a number of Privacy Enhancing Technologies. - [Pyfhel](https://github.com/ibarrond/Pyfhel) - A Python wrapper for [SEAL](#SEAL), [HElib](#HElib), and [PALISADE](#PALISADE). - [python-paillier](https://github.com/data61/python-paillier) - Partially HE based on Paillier scheme. - [SEAL-python](https://github.com/Huelse/SEAL-Python/) - Python binding for the [Microsoft SEAL](#SEAL) library. - [SparkFHE](https://github.com/SpiRITlab/spark) - Apache Spark with an add-on for FHE computations. See [:page_facing_up:](https://homomorphicencryption.org/wp-content/uploads/2019/08/poster_5.pdf). - [TenSEAL](https://github.com/OpenMined/TenSEAL) - Library for HE operations on tensors, built on [Microsoft SEAL](#SEAL), with a Python API. - <a name="tfhe">[tfhe](https://github.com/tfhe/tfhe) - Faster fully HE: Bootstrapping in less than 0.1 seconds.</a> ## Toolkits - [ALCHEMY](https://github.com/cpeikert/ALCHEMY) - Haskell-based DSLs and interpreters/compilers, build on top of the lattice crypto library Lol. - [AWS HE toolkit](https://github.com/awslabs/homomorphic-implementors-toolkit) - Simplifies the process of designing circuits for the CKKS scheme. - [Cingulata](https://github.com/CEA-LIST/Cingulata) - Compiler toolchain and RTE for running C++ programs over encrypted data. - [E3](https://github.com/momalab/e3) - Encrypt-Everything-Everywhere framework for compiling C++ programs with encrypted operands. - [Google's FHE Repository](https://github.com/google/fully-homomorphic-encryption) - Libraries and tools to perform FHE operations on an encrypted data set. - [IBM FHE toolkit](https://fhe-website.mybluemix.net) - Including FHE ML inference with a Neural Network and a Privacy-Preserving key-value search. - [fhe-toolkit-android](https://github.com/IBM/fhe-toolkit-android) - IBM FHE toolkit for Android - [fhe-toolkit-ios](https://github.com/IBM/fhe-toolkit-ios) - IBM FHE toolkit for iOS - [fhe-toolkit-linux](https://github.com/IBM/fhe-toolkit-linux) - IBM FHE toolkit for Linux (Docker based Centos, Fedora, Ubuntu & Alpine editions) - [fhe-toolkit-macos](https://github.com/IBM/fhe-toolkit-macos) - IBM FHE toolkit for macOS - [Marble](https://github.com/MarbleHE/Marble) - C++ framework that translates between nearly plaintext-style user programs and FHE computations. - [SHEEP](https://github.com/alan-turing-institute/SHEEP) - HE evaluation platform with a set of native benchmarks and a library agnostic language. ## Applications - [crypto-geofence](https://github.com/Georeactor/crypto-geofence) - Geo-fencing demo application based on Paillier scheme. - [lattigo-polls](https://github.com/ldsec/lattigo-polls-demo) - Web-application for scheduling meetings using [lattigo](#lattigo). - [Morfix.io](https://morfix.io/sandbox) - Web-based UI to play around with the [Microsoft SEAL](#SEAL) library. - [nGraph-HE](https://github.com/IntelAI/he-transformer) - Deep Learning (DL) with HE through Intel’s DL graph compiler nGraph based on [SEAL](#SEAL). - [OpenMined](https://github.com/OpenMined) - Decentralized data ownership & intelligence based on HE and deep / federated learning. - [KotlinSyft](https://github.com/OpenMined/KotlinSyft) - Kotlin library for the Android part of the OpenMined's open-source ecosystem. - [PySyft](https://github.com/OpenMined/PySyft) - Python library for the server/IoT part of the OpenMined's open-source ecosystem. - [SwiftSyft](https://github.com/OpenMined/SwiftSyft) - Swift library for the iOS part of the OpenMined's open-source ecosystem. - [syft.js](https://github.com/OpenMined/syft.js) - JavaScript library for the web part of the OpenMined's open-source ecosystem. - [Rosetta](https://github.com/LatticeX-Foundation/Rosetta) - A privacy-preserving framework based on TensorFlow. - [tf-encrypted](https://github.com/tf-encrypted/tf-encrypted) - Bridge between TensorFlow and the [Microsoft SEAL](#SEAL) library. ## Databases - [CryptDB](https://github.com/CryptDB/cryptdb) - Protecting confidentiality with encrypted query processing. - [encrypted-mongodb](https://github.com/pdroalves/encrypted-mongodb) - Wrapper on MongoDB's Python driver that enables to query encrypted data. - [Prisma/DB](https://github.com/PrismaDB/PrismaDB) - Security layer for relational database systems. - [TimeCrypt](https://github.com/TimeCrypt/timecrypt) - Encrypted time-series database using homomorphic encryption-based access control. - [ZeroDB](https://github.com/zerodb/zerodb) - E2E encrypted database using proxy re-encryption. ## Resources - [Barak, Boaz](https://intensecrypto.org/public/lec_15_FHE.html). Chapter about FHE in Barak's introductory book to Cryptography, used for Harvard CS 127. - [Barthelemy, Lucas](https://blog.quarkslab.com/a-brief-survey-of-fully-homomorphic-encryption-computing-on-encrypted-data.html). Brief survey of Fully HE. 2016. - [Chen, Zhigang](https://zhigang-chen.github.io/A%20List%20of%20FHE%20Papers.html). A continuously updated list of FHE papers. - [Gentry, Craig](https://crypto.stanford.edu/craig/craig-thesis.pdf). A fully homomorphic encryption scheme. Stanford University, 2009. - [HomomorphicEncryption.org](https://homomorphicencryption.org). An open industry, government & academic consortium working on standardization of FHE. - [KU Leuven](https://www.esat.kuleuven.be/cosic/tag/cosic-guide-to-crypto/). An introduction to homomorphic encryption. - [Micciancio, Daniele](http://cseweb.ucsd.edu/~daniele/LatticeLinks/FHE.html). Links to papers and implementations of Lattice Cryptography schemes. - [Microsoft Research](https://www.youtube.com/playlist?list=PLD7HFcN7LXRef-eTSGt_XOUJLZNoDINUn). Videos from SEAL/CKKS talks at Microsoft's Private AI Bootcamp. - [Vaikuntanathan, Vinoid](https://people.csail.mit.edu/vinodv/FHE/FHE-refs.html). A list of references about FHE, covering top papers in the field. - [Zhigang Chen](https://zhigang-chen.github.io/FHE%20Resources.html). A list of English and Chinese FHE and Machine Learning references. ## Related awesome lists - [awesome-cryptography](https://github.com/sobolevn/awesome-cryptography) - [awesome-crypto-papers](https://github.com/pFarb/awesome-crypto-papers) - [awesome-mpc](https://github.com/rdragos/awesome-mpc) - Multi-Party Computation. ## Contribute Contributions welcome! Read the [contribution guidelines](contributing.md) first. ## Like this work? ✨ Star this project on GitHub [](https://github.com/jonaschn/awesome-he) 🚀 Contribute further [awesome HE](https://github.com/jonaschn/awesome-he/edit/master/README.md) projects 💸 Spare me some ~~coffee~~ tea 🍵 via [Paypal](https://www.paypal.me/JonathanSchneiderDE/3) ## License [](http://creativecommons.org/publicdomain/zero/1.0) To the extent possible under law, Jonathan Schneider has waived all copyright and related or neighboring rights to this work.
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