Foxglove
Visualisation and debugging tool for robotics
Foxglove provides a multimodal data platform for robotics teams, allowing them to capture, ingest, and visualize streams of sensor data such as images, video, point clouds, time‑series, and operational logs. The tool offers a unified interface where users can stream live robot feeds, import recorded sessions, and search across logs to build and curate datasets for model training and evaluation.
The platform includes a set of customizable panels—more than twenty—that enable interactive exploration of a robot’s perception, decision‑making, and actuation pipelines. Users can create bespoke layouts, convert custom messages, alias topic names, and annotate data, facilitating collaboration and rapid iteration during development and debugging.
Foxglove also handles data management tasks, including serialization, storage, and retrieval, so developers can focus on algorithmic work rather than low‑level data handling. It is positioned for macOS and is described as a stable, production‑ready solution for visualizing and debugging robotics applications.
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