Multimodal log handling and visualization for spatial and embodied AI. Managed infrastructure to ingest, store, analyze, and stream data at scale with built-in visual debugging. Fast, flexible, and easy to use.
Open Source
Easily accessible and customizable for various projects.
Fast Visualization
Provides powerful interactive visualizations of live and recorded data.
Flexible SDK
Supports multiple programming languages (C++, Python, Rust) for easy integration.
Data Management
Facilitates ingestion, storage, and analysis of large-scale data effectively.
Rerun is an open-source platform designed for multimodal log handling and visualization, specifically tailored for spatial and embodied AI applications. It provides a managed infrastructure that allows users to ingest, store, analyze, and stream data at scale, combined with built-in visual debugging capabilities. With a simple setup process, users can start visualizing their data in seconds, making it an efficient tool for developers and researchers in AI.
Rerun's data model is based on a time-aware Entity Component System, enabling it to handle both common use cases and custom data structures. The platform supports C++, Python, and Rust, with minimal installation requirements and a flexible SDK for logging and interpreting data.
Visualizing robotic systems and their performance.
Debugging and improving AI training processes.
Analyzing complex data logs for research and development.
Rerun supports C++, Python, and Rust.
Yes, Rerun offers powerful interactive visualizations for both live and recorded data.
You can start visualizing data immediately with a simple installation process and minimal code.
