What is 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.

Is Rerun — Visualize Multimodal AI Data in Real-Time free to use?

Yes. Rerun — Visualize Multimodal AI Data in Real-Time is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Rerun — Visualize Multimodal AI Data in Real-Time?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Rerun — Visualize Multimodal AI Data in Real-Time

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.

Rerun Data Types & Features

Supported Data Types

Type	API	Use Case
Images	`rr.Image()`	Camera feeds, segmentation masks
3D Points	`rr.Points3D()`	LiDAR, depth sensors, embeddings
3D Meshes	`rr.Mesh3D()`	3D models, reconstructions
Bounding Boxes	`rr.Boxes2D/3D()`	Object detection
Time Series	`rr.Scalar()`	Loss curves, metrics
Text	`rr.TextLog()`	Logs, status messages
Tensors	`rr.Tensor()`	Feature maps, attention weights
Transforms	`rr.Transform3D()`	Coordinate frames
Arrows	`rr.Arrows3D()`	Velocities, forces

Real-Time Streaming

import rerun as rr
import time

rr.init("live_demo", spawn=True)

for i in range(1000):
    rr.set_time_sequence("frame", i)
    rr.log("sensor/temperature", rr.Scalar(20 + np.sin(i/10)))
    rr.log("camera/frame", rr.Image(capture_frame()))
    rr.log("robot/position", rr.Points3D([[x, y, z]]))
    time.sleep(0.033)  # 30 FPS

Time Scrubbing

The viewer includes a timeline scrubber — scroll through time to see how all your data changes together. Images, 3D points, metrics, and text all stay synchronized.

Blueprint API

import rerun.blueprint as rrb

# Define custom viewer layout
blueprint = rrb.Vertical(
    rrb.Spatial3DView(origin="world"),
    rrb.Horizontal(
        rrb.Spatial2DView(origin="camera/image"),
        rrb.TimeSeriesView(origin="metrics"),
    ),
)

rr.init("my_app", spawn=True)
rr.send_blueprint(blueprint)

Use Cases

Domain	What to Visualize
Robotics	Camera feeds + LiDAR + robot state + trajectory
Computer Vision	Input images + detections + segmentation masks
SLAM	3D maps + camera poses + feature points
LLM/AI	Attention weights + embeddings (t-SNE) + metrics
Simulation	Physics bodies + sensor readings + agent actions

FAQ

Q: What is Rerun? A: Rerun is an open-source SDK with 10,500+ GitHub stars for logging and visualizing multimodal data (3D, images, time series, text) in real-time, with an interactive viewer that syncs all data streams on a shared timeline.

Q: How is Rerun different from TensorBoard? A: TensorBoard focuses on ML training metrics (scalars, histograms). Rerun handles multimodal data — 3D point clouds, camera images, robot state, and metrics all in one viewer with time synchronization. It's built for robotics and CV, not just training logs.

Q: Is Rerun free? A: Yes, open-source under Apache-2.0. Rerun also offers a commercial product (Rerun Pro) with collaboration features.

Rerun — Visualize Multimodal AI Data in Real-Time

Rerun Data Types & Features

Supported Data Types

Real-Time Streaming

Time Scrubbing

Blueprint API

Use Cases

FAQ

Fuente y agradecimientos

Discusión

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