toolbox-desktop-integration
silverblue-tools
Our great sponsors
| toolbox-desktop-integration | silverblue-tools | |
|---|---|---|
| 1 | 3 | |
| 11 | 66 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | 9 months ago | |
| Python | Python | |
| - | MIT License |
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.
toolbox-desktop-integration
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Containers for applications
Combine with toolbox-desktop-integration and you should have your cake and be able to eat it, too.
silverblue-tools
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[Tutorial] Adding GUI apps from Toolbox to your desktop
What about this?
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Toolbx Tuner: UI-Concept of toolbx management application, feedback wanted.
Something that might be useful is the ability to export a toolbx app to the host, that means installing its metainfo, desktop file and etc into the host .local. I have a small script to do this here.
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Distrobox vs Toolbox?
There is a simple Python tool here that will automate exporting GUI apps from toolbox to your host OS.
What are some alternatives?
ansible-podman-collections - Repository for Ansible content that can include playbooks, roles, modules, and plugins for use with the Podman tool
pods - Keep track of your podman containers
podman-compose - a script to run docker-compose.yml using podman
toolbox-tuner - Graphical application intended for use on Fedora Silverblue to manage containertoolbx.org containers.
toolbox - Tool for interactive command line environments on Linux
silvernobara - Fedora Silverblue with Project Nobara enhancements
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
sodalite - 🪨 A Pantheon experience for rpm-ostree
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.