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About
Foxglove is a comprehensive observability and data management platform designed specifically for robotics and Physical AI development. It enables engineering teams to visualize, debug, and learn from multimodal robot data—including images, video, point clouds, time-series metrics, and operational logs—through an intuitive interface with 20+ customizable panels. The platform covers the entire robotics development lifecycle: from live robot monitoring and remote visualization during field tests, to ingesting and indexing petabytes of recorded mission data for post-hoc analysis and AI model training. Foxglove Agent simplifies data import and upload workflows, while built-in support for the MCAP open-source container format ensures broad compatibility with existing data pipelines and frameworks like ROS. Teams can extend Foxglove with custom panels, message converters, topic aliases, and shareable layouts to fit unique development workflows. Flexible data access via UI, REST API, and CLI means engineers can retrieve precisely the data they need without friction. Foxglove is trusted by leading robotics companies across automotive, defense and aerospace, logistics, manufacturing, agriculture, and healthcare industries. Whether you are accelerating initial development, debugging deployment issues, or scaling operations across a robot fleet, Foxglove provides the collaborative tooling and infrastructure to move faster with greater confidence.
Key Features
- Multimodal Data Visualization: Visualize images, video, point clouds, time-series data, and operational logs through 20+ customizable, interactive panels for comprehensive robot understanding.
- Live Robot Streaming & Remote Monitoring: Connect to robots in real time to stream and debug sensor data, enabling on-the-fly diagnosis of issues during active missions or lab tests.
- Scalable Data Management: Index data by device, time, and topic; set retention policies; and integrate with existing pipelines to manage petabytes of recorded robot data effortlessly.
- Extensibility & Custom Workflows: Build bespoke panels, convert custom message types, alias topics, and create shareable layouts tailored to your team's specific development workflow.
- Flexible Data Access via UI, API & CLI: Retrieve exactly the data you need through the browser interface, REST API, or command-line tools, fitting smoothly into any engineering workflow.
Use Cases
- Robotics engineering teams debugging sensor fusion and perception pipelines by replaying and visualizing recorded mission data with synchronized multimodal panels.
- Autonomous vehicle and drone developers streaming live sensor feeds to remote engineers for real-time collaboration during field tests.
- Defense and aerospace organizations managing and annotating mission-critical robot data to improve autonomy algorithms and support after-action review.
- Manufacturing and logistics companies monitoring deployed robot fleets, tracking operational health, and diagnosing anomalies quickly to minimize downtime.
- AI and machine learning teams curating, indexing, and extracting high-quality robot datasets from petabyte-scale archives to train and evaluate foundation models.
Pros
- Purpose-built for robotics: Unlike generic observability tools, Foxglove is designed around the specific needs of robotics—multimodal sensors, time-synchronized data, and robot-centric workflows.
- End-to-end development coverage: Supports the full robotics lifecycle from early prototyping and live debugging to large-scale data management for AI model training and fleet operations.
- Strong collaboration features: Shared layouts, data annotations, and a unified visualization environment make it easy for distributed teams to analyze and discuss robot behavior together.
- Broad ecosystem compatibility: Integrates with ROS and other frameworks, supports the open MCAP format, and offers SDK, API, and CLI access for flexible pipeline integration.
Cons
- Narrowly specialized: Foxglove is purpose-built for robotics and Physical AI; teams outside this domain will find limited applicability for general data analytics use cases.
- Steeper learning curve for large deployments: Configuring data pipelines, retention policies, and custom extensions at scale requires dedicated engineering effort and familiarity with the platform's architecture.
- Enterprise costs may scale quickly: While there is a free tier, organizations managing high volumes of robot data across large fleets may face significant costs at scale.
Frequently Asked Questions
What types of data can Foxglove visualize?
Foxglove supports a wide range of multimodal robot data including camera images, video streams, LiDAR point clouds, IMU time-series, GPS tracks, and operational/diagnostic logs, all synchronized on a common timeline.
Does Foxglove work with ROS?
Yes. Foxglove integrates with ROS 1 and ROS 2 environments via the Foxglove Bridge, and also supports the open MCAP file format which is widely used in the robotics ecosystem for recording and replaying data.
Is Foxglove available for free?
Foxglove offers a free tier to get started. Paid plans unlock additional data storage, team collaboration features, advanced data management capabilities, and enterprise-grade security.
Can I monitor robots live with Foxglove?
Yes. Foxglove supports live streaming from robots via the SDK and Foxglove Bridge, enabling real-time visualization and remote monitoring of sensor data and system state during active operation.
What is the Foxglove Agent?
Foxglove Agent is a lightweight component that runs on or near your robot or data collection system, simplifying the import of local recordings and the upload of data to the Foxglove platform for centralized management and analysis.
