🔄

Rerun

Verified

Open Site

4.5

0 Reviews

69 Saved

Introduction

Visualization engine for multimodal data

Added on: Feb 15, 2026

Share this tool

Website Snapshot

Preview Not Available

Click below to visit the website

Visit Website

Rerun Product Information

Rerun Overview

Rerun is an open-source visualization and observability tool built specifically for multimodal data - the kind of data that comes from robotics, computer vision, and spatial AI applications. It lets developers visualize point clouds, images, 3D scenes, time series, and other complex data types toget...

This product stands out with features such as:

•Multimodal Visualization: Display images, point clouds, 3D scenes, and time series together
•Timeline Scrubbing: Navigate through recorded data at any point in time
•Computer Vision Support: Visualize image data with annotations and detections
•3D Scene Visualization: View and navigate 3D spatial data interactively
•Open Source: Full source code available for customization and contribution
•Python and Rust SDKs: Log data from Python and Rust applications
•Remote Viewing: View data from remote processes in real time
•Recording and Playback: Record sessions for later analysis and debugging

How to Use Rerun

Get started in a few simple steps

Instrument Your Code

Install the Rerun SDK for Python or Rust and add logging calls to your application. Log images, point clouds, poses, and other data types that you want to visualize.

View Your Data

Open the Rerun viewer and see your logged data visualized in real time or load a recorded session for post-hoc analysis. Use the timeline to navigate to specific moments.

Debug and Iterate

Use the visualization to understand what your system is seeing and doing at every point in time. Identify where perception or decision-making breaks down and iterate on your implementation.

Rerun's Core Features in Detail

Powerful features from Rerun

Multimodal Data Together

Generic observability tools handle logs and metrics but not 3D scenes, point clouds, and images. Rerun is designed specifically for the data types that spatial AI and robotics applications produce

Timeline Navigation

Being able to scrub through recorded sessions to any point in time is essential for debugging intermittent issues in robotics and computer vision systems that may fail only in specific conditions

Open Source Trust

Teams building research and production systems on open source foundations prefer open source tooling that they can audit, customize, and contribute to

Real-Time and Recorded

Supporting both real-time visualization and recorded session playback means Rerun works for both development and production debugging workflows

Rerun Use Cases

Discover how Rerun can benefit different users

Robotics Engineers

Teams building robots use Rerun to visualize sensor data, perception outputs, and robot state to understand and debug system behavior

Computer Vision Researchers

Researchers developing object detection, segmentation, and other vision systems use Rerun to visualize model inputs and outputs across their test datasets

Spatial AI Developers

Engineers building applications that understand 3D space - AR systems, autonomous vehicles, drone navigation - use Rerun for the spatial data visualization that generic tools cannot provide

🔎 Similar to 'Rerun'

📊