Rerun

Rerun is a specialized data platform designed specifically for robotics and spatial AI development. It provides a unified system for logging, visualizing, and analyzing complex spatial data from sensors, 3D environments, and time-series metrics. The platform handles everything from raw sensor inputs to complex 3D scenes, making it easier to understand what's happening in physical AI systems.

The tool works through SDKs available for Python, Rust, and C++ that let developers log various data types including point clouds, 3D transforms, images, and custom metrics. What sets Rerun apart is its ability to maintain consistent visualizations across exploration, debugging, and evaluation phases. It offers snappy dataframe queries optimized for robotics data and can transform logs into training-ready datasets through simple pipelines.

Rerun primarily benefits robotics engineers, autonomous vehicle developers, and spatial AI researchers. Real-world use cases include visualizing sensor fusion data from self-driving cars, debugging robotic arm movements in 3D space, analyzing drone flight patterns, and preparing spatial data for machine learning training pipelines. It's particularly valuable for teams working with complex physical systems that generate multi-format spatial data.