Jupyter widget helpers for ROS, enabling interactive robotics development in notebooks.
jupyter-ros is a set of Jupyter widget helpers for ROS (Robot Operating System) that enables robotics developers to work interactively within Jupyter notebooks. It provides tools to create widgets for custom ROS message types, visualize live data, and animate simulations, bridging the gap between traditional ROS tools and modern notebook-based workflows.
Robotics developers and researchers who use ROS and want to leverage Jupyter notebooks for interactive development, data visualization, and rapid prototyping.
Developers choose jupyter-ros because it integrates ROS directly into Jupyter, offering a code-centric, interactive alternative to QT-based tools, with live plotting, custom widget support, and seamless notebook workflows.
Jupyter widget helpers for ROS, the Robot Operating System
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Enables direct creation and manipulation of ROS message widgets in Jupyter notebooks, allowing for interactive data handling without leaving the coding environment.
Integrates with bqplot for real-time plotting of ROS topics, providing immediate visual feedback on sensor data and robot states.
Supports animating Turtlesim and other simulations using ipycanvas, making it easy to visualize robot movements and behaviors directly in notebooks.
Automatically generates widgets for custom ROS message types, facilitating rapid prototyping with proprietary or complex data structures.
Requires a ROS environment, conda installation, and manual configuration of dependencies and extensions, which can be prone to errors as highlighted in the troubleshooting section.
Tied exclusively to Jupyter notebooks, making it unsuitable for standalone ROS applications or environments where Jupyter is not available or preferred.
Relies on bqplot and ipycanvas, which may not offer the advanced capabilities of dedicated ROS tools like rviz for complex 3D visualization or high-performance rendering.