Project Title

rerun — Visualize Multimodal Data Streams with Ease

Overview

Rerun is a multimodal data stack designed for modeling, ingesting, storing, querying, and viewing robotics-style data. It offers a simple and efficient way to log and visualize data such as images, tensors, point clouds, and text, making it a valuable tool for developers in fields like robotics, spatial AI, and generative media.

Key Features

Supports logging of various data types including images, tensors, point clouds, and text.
Provides live visualization through the Rerun Viewer or data streaming to files for later use.
Offers a dataframe API for querying logged data.
SDKs available for C++, Python, and Rust.

Use Cases

Robotics: For logging and visualizing sensor data and machine learning outputs.
Spatial and Embodied AI: To track and visualize spatial data in real-time.
Generative Media: For creating and debugging generative models with visual feedback.
Industrial Processing: Monitoring and analyzing industrial processes with visual data.

Advantages

Free and open-source, allowing for community contributions and improvements.
Built in Rust, ensuring performance and reliability.
Easy integration and use, with SDKs for multiple programming languages.

Limitations / Considerations

The project is relatively new, which might mean less community support and fewer resources compared to more established projects.
The learning curve for new users, especially those unfamiliar with Rust, might be steeper.

TensorBoard: A visualization tool for TensorFlow that allows for the visualization of computation graphs, as well as real-time data from TensorFlow. Unlike Rerun, it is specifically tailored for TensorFlow.
Dash: A framework for building analytical web applications. Dash is more general-purpose and not specifically designed for multimodal data streams like Rerun.
Plotly: An interactive graphing library for Python. Plotly is more focused on static data visualization and does not offer the same real-time streaming capabilities as Rerun.

Basic Information

GitHub: https://github.com/rerun-io/rerun
Stars: 9,311
License: MIT and Apache
Last Commit: 2025-09-25

📊 Project Information

Project Name: rerun
GitHub URL: https://github.com/rerun-io/rerun
Programming Language: Rust
⭐ Stars: 9,311
🍴 Forks: 536
📅 Created: 2022-04-08
🔄 Last Updated: 2025-09-25

🏷️ Project Topics

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📚 Documentation

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rerun

Project Description