What is Rerun?
Rerun is a comprehensive data visualization and logging platform specifically designed for spatial and embodied AI applications. The platform combines powerful visualization capabilities with efficient log handling, enabling users to record, analyze, and debug multimodal data with unprecedented ease.
Built on a time-aware Entity Component System, Rerun provides seamless integration through its SDK, supporting multiple programming languages including Python, C++, and Rust. The platform features both native and browser-based viewers, offering real-time visualization, interactive debugging, and sophisticated data querying capabilities through Apache Arrow integration.
Features
- Multimodal Visualization: Industry's fastest viewer for live and recorded data
- SDK Integration: Support for Python, C++, and Rust with simple implementation
- Time-Travel Debugging: Navigate through recorded data sequences
- Query API: Extract time-aligned datasets from robotics recordings
- Flexible Data Modeling: Time-aware Entity Component System
- Cross-platform Viewing: Native, web, and notebook compatibility
- Interactive Customization: Build and modify visualizations through code or UI
Use Cases
- Robotics data visualization and debugging
- AI model training and evaluation
- Prototype debugging and development
- Dataset extraction and analysis
- Real-time system monitoring
- Computer vision development
- Research data visualization
FAQs
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What programming languages does Rerun support?
Rerun supports Python, C++, and Rust through its SDK. -
Can I use Rerun in a browser?
Yes, Rerun offers both native and browser-based viewing capabilities, and can be embedded in notebooks and web apps. -
What type of data can I visualize with Rerun?
Rerun supports multimodal data visualization including 3D points, camera transforms, images, and scalar values, making it suitable for spatial and embodied AI applications. -
How does Rerun handle data querying?
Rerun provides query APIs that can extract time-aligned datasets from robotics recordings and returns Apache Arrow data compatible with popular dataframe libraries.
