Foxglove Studio is an open source visualization & debugging tool for robotics.Use customizable layouts to arrange interactive visualizations,
and quickly understand what your robot is doing.
Foxglove Studio comes with a rich suite of built-in panels that can be arranged into the perfect layout for your task.
Display your robot in a 3D scene—complete with point clouds, TFs, and a world map.
Display images from multiple camera feeds, and overlay relevant bounding boxes and labels.
Plot message values over time, or plot an array of values at each timestamp.
Control your robot by publishing messages back to your live ROS stack.
Drill down into your ROS messages to better understand and debug the state of your robot.
View aggregated ROS diagnostic messages.
Track and detect changes in your robot's state.
Inspect incoming ROS messages in tabular format.
Experience the world in 3D, just like your robot does. Visualize point clouds, overlay bounding boxes, and classification labels, and drill down into your data.
Connect directly to a running ROS environment on your machine, inspect pre-recorded data in ROS 1 or ROS 2 bag files, or load data remotely from a cloud store like S3.
Foxglove Studio is dedicated to developing in the open—our code is available on GitHub, and we welcome pull requests! We also provide community support via GitHub discussions and Slack.
Check out our latest posts to see what we've been working on.
Loading ROS 2 bag files for playback and visualization inside Foxglove Studio.
Translate image detection outputs into human-readable visualizations.
Trade-offs to consider when collecting data for analysis.