Bunny VS March Hare

Compare Bunny vs March Hare and see what are their differences.

Bunny

Bunny is a popular, easy to use, mature Ruby client for RabbitMQ (by ruby-amqp)

March Hare

Idiomatic, fast and well-maintained JRuby client for RabbitMQ (by ruby-amqp)
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Bunny March Hare
1 -
1,364 97
0.4% -
5.0 5.2
about 1 month ago 6 months ago
Ruby Ruby
MIT License MIT License
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.

Bunny

Posts with mentions or reviews of Bunny. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-07.

March Hare

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

We haven't tracked posts mentioning March Hare yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Bunny and March Hare you can also consider the following projects:

Sneakers - A fast background processing framework for Ruby and RabbitMQ

Gush - Fast and distributed workflow runner using ActiveJob and Redis

Sidekiq - Simple, efficient background processing for Ruby

Karafka - Ruby and Rails efficient multithreaded Kafka processing framework

Que - A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.

Delayed::Job - Database based asynchronous priority queue system -- Extracted from Shopify

Lowkiq - Ordered background jobs processing

Backburner - Simple and reliable beanstalkd job queue for ruby

Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.