Rerun: Visualize spatial AI data quickly and easily

Frequently Asked Questions about Rerun

What is Rerun?

Rerun is an open-source platform that helps users visualize and analyze data from spatial and embodied AI projects. It allows users to log data, create visualizations, analyze logs, and build dashboards. The system supports multiple data types, such as 3D points, images, sensors, and other multimodal data. Rerun is easy to set up, offering SDKs for Python, Rust, and C++. Users can start by following quick start guides and examples, with no need for sign-up or complex configurations. The platform features interactive viewers that support real-time visualization and time travel, making it easier to debug and understand AI data. It also provides options to embed visualizations into web applications or build custom layouts. Rerun's flexible data model is based on a time-aware Entity Component System, which helps model different data types efficiently.

The tool is suitable for research, robotics, and AI development projects. It is used by teams from organizations such as Huggingface, Meta, and Deepmind. Rerun's key benefits include faster debugging, better data understanding, and simplified data management. Core features include real-time visualization, data logging, interactive viewers, embeddable visualizations, and support for multiple modalities.

Potential users of Rerun include data scientists, robotics engineers, AI researchers, data analysts, and software developers. The main use cases involve visualizing sensor data for debugging robots, analyzing spatial data live, building AI data dashboards, and querying datasets for insights. The platform replaces manual visualization methods, basic log analysis tools, and traditional debugging setups, streamlining workflows in AI development.

Overall, Rerun offers a powerful, flexible solution for handling complex spatial and embodied AI data. It aims to improve efficiency and understanding in AI projects through interactive, real-time visualization and analysis tools. Its open-source nature makes it accessible for a wide range of users and projects, supporting innovation in AI and robotics.

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.

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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.