Rerun: Data Stack for Physical AI

Rerun

3.5 | 116 | 0
Type:
Open Source Projects
Last Updated:
2025/07/08
Description:
Open-source log handling and visualization for spatial and embodied AI. Fast, flexible, and easy to use.
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Tool Overview

Rerun is an open-source data stack designed for Physical AI, offering powerful tools for log handling and visualization. It enables developers to ingest, store, analyze, and stream multimodal data at scale. With a focus on visual debugging, Rerun provides a fast, flexible, and easy-to-use environment for understanding complex AI systems.

Rerun accelerates AI development by providing interactive visualizations of live and recorded data. Use Rerun to understand behavior and pinpoint issues. Its capabilities extend to visualizing training and eval, debugging prototypes, and extracting time-aligned training samples from messy logs. It's suitable for robotics, computer vision, and other applications where spatial understanding is critical.

The Rerun SDK allows you to model data with C++, Python, and Rust. This means you can log data and interpret existing log files easily. The data can then be analyzed for further understanding. By using Rerun's query APIs, you can extract time-aligned datasets from messy robotics recordings in Apache Arrow format for further analysis. Rerun significantly improves user experience by simplifying debugging, optimizing model performance, and accelerating the development of cutting-edge Physical AI applications. Improve your AI development workflow today with Rerun.

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