Factory > Showcase > DRand
Name:
DRand
Description:
Publicly verifiable randomness
Professor — Lab:
Bryan Ford — Decentralized Distributed Systems Laboratory
Contact:
Nicolas Gailly
Home page:
DRand
Layman description:
In many distributed applications, it is important to get a provably secure random number. DRand makes it possible to have these numbers provably secure.
Documentation:
DRand Docs
Blogs:
Webpages:
Project status:
active — entered showcase: 2019-03-18 — entry updated: 2024-03-20
Source code:
Lab GitHub - last commit: 2024-03-12
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application
Programming language:
GoLang
License:
MIT
Lines of code:
1000 / 200