Table with all available packages & architectures
Welcome to RoboStack, which tightly couples ROS with Conda, a cross-platform, language-agnostic package manager. We provide ROS binaries for Linux, macOS, Windows and ARM (Linux). Installing other recent packages via conda-forge side-by-side works easily, e.g. you can install TensorFlow/PyTorch in the same environment as ROS humble without any issues. As no system libraries are used, you can also easily install ROS humble on any recent Linux Distribution - including older versions of Ubuntu. As the packages are pre-built, it saves you from compiling from source, which is especially helpful on macOS and Windows. No root access is required, all packages live in your home directory. We have recently written up a paper and blog post with more information.
If you use RoboStack in your academic work, please refer to the following paper:
@article{FischerRAM2021,
title={A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems},
author={Tobias Fischer and Wolf Vollprecht and Silvio Traversaro and Sean Yen and Carlos Herrero and Michael Milford},
journal={IEEE Robotics and Automation Magazine},
year={2021},
doi={10.1109/MRA.2021.3128367},
}Please see our instructions here.
