silverblue-tools VS toolbox-desktop-integration

Compare silverblue-tools vs toolbox-desktop-integration and see what are their differences.

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silverblue-tools toolbox-desktop-integration
3 1
66 11
- -
0.0 0.0
9 months ago almost 3 years ago
Python Python
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.

silverblue-tools

Posts with mentions or reviews of silverblue-tools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-18.

toolbox-desktop-integration

Posts with mentions or reviews of toolbox-desktop-integration. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-07.

What are some alternatives?

When comparing silverblue-tools and toolbox-desktop-integration you can also consider the following projects:

pods - Keep track of your podman containers

ansible-podman-collections - Repository for Ansible content that can include playbooks, roles, modules, and plugins for use with the Podman tool

toolbox-tuner - Graphical application intended for use on Fedora Silverblue to manage containertoolbx.org containers.

podman-compose - a script to run docker-compose.yml using podman

silvernobara - Fedora Silverblue with Project Nobara enhancements

toolbox - Tool for interactive command line environments on Linux

sodalite - 🪨 A Pantheon experience for rpm-ostree

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.