Capistrano VS Mina

Compare Capistrano vs Mina and see what are their differences.

Capistrano

Remote multi-server automation tool (by capistrano)

Mina

Blazing fast application deployment tool. (by mina-deploy)
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Capistrano Mina
8 1
12,070 4,202
0.4% 0.2%
0.6 7.0
13 days ago 10 days 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.

Capistrano

Posts with mentions or reviews of Capistrano. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-27.

Mina

Posts with mentions or reviews of Mina. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-17.

What are some alternatives?

When comparing Capistrano and Mina you can also consider the following projects:

Deployinator

Vagrant - Vagrant is a tool for building and distributing development environments.

Fabric - Simple, Pythonic remote execution and deployment.

Rubber - A capistrano/rails plugin that makes it easy to deploy/manage/scale to various service providers, including EC2, DigitalOcean, vSphere, and bare metal servers.

Chef - Chef Infra, a powerful automation platform that transforms infrastructure into code automating how infrastructure is configured, deployed and managed across any environment, at any scale

Dpl - Dpl (dee-pee-ell) is a deploy tool made for continuous deployment.

Vlad the Deployer

Rocketeer

Ruby-LXC - ruby bindings for liblxc

BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.