Rerun - Visualize your data effortlessly

Rerun operates on a time-aware entity component system that helps streamline the modeling of data for effective storage and visualization. Here’s how it works:

• Model: Utilize the Rerun SDK to structure your data and log it. The seamless integration ensures you can write data to storage or a live viewer effortlessly.
• View: Leverage Rerun’s fast multimodal viewer to visualize both live and recorded data interactively. Enjoy features like time travel through your visuals for better analysis.
• Build: Customize your visualizations via code or directly in the UI. The flexibility allows you to integrate visual tools into various applications seamlessly.
• Query: Implement powerful query APIs to pull time-aligned datasets from robotics recordings, transforming complex logs into usable data for further analysis.

Getting started with Rerun is straightforward and requires minimal setup. Follow these steps for installation and initial usage:

1. Install the SDK: Begin by installing the Rerun SDK using pip. The command is simple:

   pip install rerun-sdk
   

2. Initialize your application: Start by importing the SDK in your Python script and initializing it with your application name:

   import rerun as rr
   rr.init('my_data_generating_application')
   

3. Connect to the viewer: Set up a connection with the remote viewer to visualize your logs:

   rr.connect()
   

4. Log data: Use the SDK's logging functions to record spatial data, image data, and any errors:

   rr.log('points', rr.Points3D(positions))
   rr.log('camera', rr.Transform3D(pos, rot))
   rr.log('camera/image', rr.Image(tensor))
   

5. View data: After logging, open the viewer to interact with the data you have recorded. The viewer allows for seamless visualization and debugging for better understanding.
6. Analyze data: Use query APIs to extract aligned datasets for further analysis—making your data management efficient and effective.

By following these basic steps, you can start visualizing and analyzing your multimodal data within seconds.

In summary, Rerun offers a powerful open-source platform for managing, logging, and visualizing multimodal data. With its robust features and user-friendly interface, it is an ideal tool for researchers and developers working with spatial and embodied AI. Whether you are looking to analyze complex datasets or improve the visualization of your AI models, Rerun stands out as a scalable solution that is easy to implement and flexible for various applications.