Foxglove Documentation

Foxglove is a platform to record, upload, organize, and visualize multimodal log data such as time series, text logs, video, 3D, maps, and more. It is most often used in hardware, robotics, and physical AI.

Workflows

Foxglove supports all aspects of multimodal observability:

Record

• Record logs in a variety of supported formats (MCAP, ROS Bag, ULog, etc)

Ingest

• Import recordings from your desktop, or a device running the Foxglove Agent

Process

• Index imported data recordings by device, time, and topic
• Configure webhooks to integrate with the rest of your data pipeline

Visualize

• Stream imported data to Foxglove and third-party tools like Jupyter Notebooks for analysis
• Configure panels to understand how your robots sense, think, and act
• Create shared layouts for tackling repeated visualization and debugging tasks

Collaborate

• Annotate logs with metadata and events for easier search and discovery
• Rely on collective knowledge to triage incidents and analyze the root cause of an issue

Links and resources

• Create a free account
• Download the desktop app (for Linux, Windows, and macOS)
• Browse tutorials