KnowledgeApr 2, 2026·3 min read
Rerun — Visualize Multimodal AI Data in Real-Time
SDK for logging, storing, and visualizing 3D, images, time series, and text in real-time. Built for robotics and AI. 10K+ stars.
TO
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Quick Use
Use it first, then decide how deep to go
This block should tell both the user and the agent what to copy, install, and apply first.
```bash
pip install rerun-sdk
```
```python
import rerun as rr
import numpy as np
rr.init("my_app", spawn=True) # Opens the Rerun viewer
# Log different data types
rr.log("camera/image", rr.Image(np.random.rand(480, 640, 3)))
rr.log("lidar/points", rr.Points3D(np.random.rand(1000, 3)))
rr.log("metrics/loss", rr.Scalar(0.42))
rr.log("text/status", rr.TextLog("Model loaded successfully"))
```
The Rerun Viewer opens automatically with interactive 2D/3D visualization.
---
Intro
Rerun is an open-source SDK with 10,500+ GitHub stars for logging, storing, querying, and visualizing multimodal data streams in real-time. Built for robotics, computer vision, and AI development, it handles 3D point clouds, camera images, time series, text logs, tensors, and more — all in a single interactive viewer. Log data from Python, Rust, or C++ and Rerun automatically handles time synchronization, layout, and interactive exploration. Think of it as a modern replacement for ad-hoc matplotlib scripts and custom visualization code.
Works with: Python, Rust, C++, ROS 2, any data pipeline. Best for robotics engineers, CV researchers, and AI developers who need to visualize complex multimodal data. Setup time: under 2 minutes.
---
🙏
Source & Thanks
> Created by [Rerun](https://github.com/rerun-io). Licensed under Apache-2.0.
>
> [rerun](https://github.com/rerun-io/rerun) — ⭐ 10,500+
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