Secure Computation Python Packages

nilql

Python library for working with encrypted data within nilDB queries and replies.

syft

Perform data science on data that remains in someone else's server

tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

ciphercore

User-friendly secure computation engine based on secure multi-party computation

cicada-mpc

Fault-tolerant secure multiparty computation in Python.

blindfold

Python library for working with encrypted data within nilDB queries and replies.

pysyft

Perform data science on data that remains in someone else's server

pygrid

Perform data science on data that remains in someone else's server

nthcommunity

Open-source Python library that allows developers to leverage the nth.community service platform and API to implement secure, privacy-preserving data collaborations within their web services and applications.

pygryd

Perform data science on data that remains in someone else's server

tinynmc

Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

pysecurecircuit

pySecureCircuit is a Python library that allows secure multiparty computation using Yao's garbled circuit technique. The library provides a way for multiple parties to securely compute a function on their private inputs without revealing them to each other, using a combination of encryption, randomization, and computation over circuits.

tf-encrypted-primitives

A Framework for Encrypted Machine Learning in TensorFlow

latticex-rosetta

A Privacy-Preserving Framework Based on TensorFlow

latticex

A Privacy-Preserving Framework Based on TensorFlow

tinysig

Pure-Python implementation of a threshold ecdsa signature scheme based on a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.