Rerun: Visualize spatial AI data quickly and easily

Frequently Asked Questions about Rerun

What is Rerun?

Rerun is an open-source software tool for visualizing and analyzing data used in spatial and embodied AI projects. It helps users see what is happening with their AI systems by showing different types of data, like 3D points, images, and sensor streams. The tool allows users to log data, view it interactively, analyze logs, build custom visualizations, and query datasets. Rerun is simple to install with SDKs available for Python, Rust, and C++. It does not require users to sign up to start working.

The software uses a flexible, time-aware data model based on an Entity Component System. This setup makes it easy to model various data types and visualize them in real-time or from saved logs. Its visualization features include interactive viewers that support 'time travel,' helping users debug and understand complex spatial data more easily. Rerun also allows embedding visualizations into applications and building custom layouts, making it suitable for various workflows.

Rerun is used in many research projects and by companies such as Huggingface, Meta, and Deepmind. Its primary goal is to simplify the data infrastructure for physical AI, speeding up the process of gaining insights and debugging. Typical use cases include visualizing sensor data for robotics, analyzing spatial data in real-time, building interactive AI dashboards, and querying logs to extract useful datasets.

The tool’s key features are its open-source nature, support for real-time visualization, data logging, interactive viewing, flexible data modeling, embeddable visualizations, and multi-modal data support. It is suitable for data scientists, robotics engineers, AI researchers, data analysts, and software developers. Rerun replaces manual visualization methods, basic log analysis tools, traditional AI debugging methods, custom scripts, and complex data workflows.

Overall, Rerun enables faster and clearer visualization of spatial and embodied AI data, helping users debug, analyze, and improve their AI systems effectively. With its easy installation, versatile features, and support for multiple data types and platforms, Rerun offers a powerful solution for anyone working with spatial AI data.

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.