Rerun
Visualize and debug multimodal data for spatial AI systems

Target Audience
- Robotics engineers
- Computer vision researchers
- Autonomous systems developers
Hashtags
Overview
Rerun simplifies working with complex AI data streams by providing open-source visualization and log management. It helps developers understand robotic systems and spatial AI through instant visual debugging. The platform handles data ingestion, storage, and analysis while maintaining flexibility for custom implementations.
Key Features
Multimodal Viewer
Fastest visualizer for live/recorded spatial data analysis
Time-aware ECS
Flexible data modeling system for temporal AI datasets
Embeddable Viewer
Integrate visualizations into web apps and notebooks
Query APIs
Extract time-aligned datasets from messy recordings
Use Cases
Debug spatial AI system behavior
Visualize robotics training data
Extract aligned training datasets
Embed visualizations in web apps
Pros & Cons
Pros
- Open-source core with permissive licensing
- Industry's fastest multimodal visualizer
- Flexible time-aware data modeling
- Embeddable viewer for custom integrations
Cons
- Commercial features still in development
- Limited native integrations mentioned
- Steep learning curve for non-Python users
Pricing Plans
Open Source
one-timeFeatures
- Multimodal visualizer
- SDK for data logging
- Embeddable viewer
- Apache Arrow integration
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What's the difference between open-source and commercial versions?
Open-source focuses on visualization and basic log handling, while commercial adds large-scale data management and storage (currently in development).
Can I use Rerun without writing code?
Basic visualization requires SDK integration, but the viewer can be used interactively once data is logged.
Reviews for Rerun
Alternatives of Rerun
Transform concepts into photorealistic interior renders instantly