spu
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected. (by secretflow)
mpyc
MPyC: Multiparty Computation in Python (by lschoe)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spu
Posts with mentions or reviews of spu.
We have used some of these posts to build our list of alternatives
and similar projects.
mpyc
Posts with mentions or reviews of mpyc.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-25.
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Idea for an NFT representing a real-life jewels
I would like to use Shamir Secret Sharing and Multi-Party computing for this. The solution would most likely require a side-chain. I would like to build on technologies such as MPyC and HoneyBadgerMPC .
What are some alternatives?
When comparing spu and mpyc you can also consider the following projects:
primihub - Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
lattigo - A library for lattice-based multiparty homomorphic encryption in Go
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning