POUW VS consensus

Compare POUW vs consensus and see what are their differences.

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POUW consensus
1 1
1 1
- -
0.0 3.1
about 3 years ago over 3 years ago
Mozilla Public License 2.0 Apache License 2.0
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.

POUW

Posts with mentions or reviews of POUW. We have used some of these posts to build our list of alternatives and similar projects.

consensus

Posts with mentions or reviews of consensus. We have used some of these posts to build our list of alternatives and similar projects.
  • [Job] Haskell backend position
    1 project | /r/haskell | 28 Mar 2021
    Firstly, I have spent a tremendous time working on this project (https://github.com/dolla-consortium/consensus), so just imagining you'll look at it, makes me happy.... I'll probably die of joy if you give me feedback ;-)

What are some alternatives?

When comparing POUW and consensus you can also consider the following projects:

viewstamped-replication-made-famous - A $20k consensus challenge based on TigerBeetle's implementation of the pioneering Viewstamped Replication protocol. [Moved to: https://github.com/tigerbeetledb/viewstamped-replication-made-famous]

awesome-distributed-systems - A curated list to learn about distributed systems

abgp-js - Authenticated Byzantine gossip protocol

viewstamped-replication-made-famous - A $20k consensus challenge based on TigerBeetle's implementation of the pioneering Viewstamped Replication protocol.

Atomix - A Kubernetes toolkit for building distributed applications using cloud native principles

DistributedSystemNotes - Notes on Lindsey Kuper's lectures on Distributed Systems