Rerun: Visualize spatial AI data quickly and easily

Frequently Asked Questions about Rerun

What is Rerun?

Rerun is an open-source platform designed to help users see and analyze data for spatial and embodied AI projects. It allows users to log different types of data, such as 3D points, images, and sensor streams. The system is simple to set up with SDKs available for Python, Rust, and C++. There is no need for sign-up, making it easy to get started quickly. Rerun's data model is flexible and based on a time-aware Entity Component System. This helps users organize their data efficiently. They can visualize data in real time or from saved logs. The platform has an interactive viewer that supports time travel, which makes debugging and understanding data easier.

Rerun supports a wide range of data types, including points, images, sensors, and 3D models. It also allows embedding visualizations into web applications and running them directly in browsers. Users can build custom visualization layouts, analyze logs, and query datasets efficiently. The tool is used by leading companies and projects such as Huggingface's LeRobot, Meta's Aria, and Deepmind's Brush, showing its effectiveness in research and complex projects.

The main use cases for Rerun include visualizing sensor data for robotics debugging, analyzing spatial data in real-time, creating interactive dashboards for AI data, debugging AI prototypes, and extracting datasets from logs. It supports activities that require understanding and troubleshooting spatial data. The platform features real-time visualization, data logging, interactive viewers, customizable layouts, embeddable visualizations, and support for multiple data modalities.

Rerun is especially helpful for data scientists, robotics engineers, AI researchers, data analysts, and software developers working in artificial intelligence, machine learning, and data visualization fields. It simplifies traditional workflows by replacing manual visualization methods, basic log analysis tools, and custom scripts. Overall, Rerun provides a powerful, open-source solution for visualizing and analyzing complex spatial data to improve AI development, debugging, and research.

Key Features:

Who should be using Rerun?

AI Tools such as Rerun is most suitable for Data Scientists, Robotics Engineers, AI Researchers, Data Analysts & Software Developers.

What type of AI Tool Rerun is categorised as?

What AI Can Do Today categorised Rerun under:

How can Rerun AI Tool help me?

This AI tool is mainly made to data visualization and debugging. Also, Rerun can handle log data, visualize data, analyze logs, build visualizations & query datasets for you.

What Rerun can do for you:

Common Use Cases for Rerun

How to Use Rerun

Install the Rerun SDK in Python, Rust, or C++, then connect your data to the viewer using simple APIs. Use provided examples to model, log, visualize, and analyze data in real time or recorded logs.

What Rerun Replaces

Rerun modernizes and automates traditional processes:

Additional FAQs

What is Rerun?

Rerun is an open-source platform for visualizing and analyzing spatial and embodied AI data.

How do I get started with Rerun?

Install the SDKs for Python, Rust, or C++, then follow the quick start guides and examples to log and visualize your data.

Can I use Rerun in web browsers?

Yes, Rerun supports running Visualizations natively and in browsers, and can be embedded into web apps.

What kind of data can Rerun handle?

It supports points, images, sensors, 3D models, and other multimodal data types.

Discover AI Tools by Tasks

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AI Tool Categories

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Getting Started with Rerun

Ready to try Rerun? This AI tool is designed to help you data visualization and debugging efficiently. Visit the official website to get started and explore all the features Rerun has to offer.