Rerun AI
Features of Rerun AI
Use Cases of Rerun AI
FAQ about Rerun AI
QWhat is Rerun AI? What is it mainly used for?
Rerun AI is an open-source data platform focused on physical AI (such as robotics and autonomous driving). Its core capabilities are to help developers record, visualize, analyze, and debug the multimodal time-series data of complex AI systems operating in the physical world.
QWhat programming languages does the Rerun AI platform support?
The platform provides SDKs in C++, Python, and Rust, making it convenient for developers to integrate it into their existing robotics or AI project workflows.
QIs using Rerun AI free?
The core framework of Rerun AI is open source and freely available. The company is developing cloud-based data platform and other value-added services; for specifics, check official information.
QHow does Rerun AI handle data privacy and security?
Data can be stored locally as .rrd files for offline analysis, and real-time streaming is also supported. Users have full control over their data and can choose the deployment method according to their needs.
QWhat kinds of developers is Rerun AI suitable for?
Mainly suitable for researchers and developers in robotics, autonomous driving, spatial computing, computer vision, and any who work with physical AI and embodied AI requiring complex spatiotemporal data.
QWhat are the unique advantages of Rerun AI's data visualization?
Its viewer features a 'time-travel' capability that lets you rewind the data evolution, and supports synchronized visualization of multimodal data (such as images, 3D, text, charts) on a unified timeline with customizable layouts, facilitating deep debugging.