# Rerun

Camada de dados para equipes de Physical AI e robótica registrarem, visualizarem, consultarem, transformarem e treinarem com dados multimodais.

- Findings24: <https://findings24.com/pt/tools/rerun>
- Site: <https://rerun.io>
- Preços: Freemium
- Categorias: Visualização de dados com IA

## O que é Rerun?

Rerun is a data layer for Physical AI and robotics workflows. It is built for multi-rate, multimodal data, with tools to log, store, query, visualize, transform, and train from the same underlying data model.

The open-source SDK covers local development and analysis, while Rerun Hub adds a managed catalog and storage engine for teams that need persistent, single-tenant infrastructure over their own object storage. Together, they support a workflow that starts with a first recording and can scale to queryable datasets and training streams.

## O que Rerun pode fazer?

### Single data model across the loop

Log, store, query, transform, visualize, and train on the same multi-rate, multimodal data model instead of moving between separate tools and formats.

### Interactive visualization

Inspect synchronized robotics data in the Viewer, including cameras, joint states, and 3D motion, to debug episodes and review datasets.

### Query and reshape data

Run SQL or dataframe queries across recordings, including columns, time ranges, and values inside the data itself, not just metadata.

### Recording and catalog storage

Store recordings as column-chunks in \`.rrd\` files and register them into a catalog for queryable segments across one or many recordings.

### Training from queries

Stream dataset mixes directly to training jobs with a column-aware, video-codec-aware dataloader that works from catalog queries.

### Local or managed deployment

Use the platform either locally with the open-source SDK or with Rerun Hub for managed, single-tenant storage and retrieval in the cloud.

## Casos de uso

### Robot debugging and episode review

Record sensor data from robotics systems, then review synchronized views of cameras, joints, and motion in the Viewer to understand what happened in an episode.

### Dataset analysis and transformation

Query recordings with SQL or dataframe operations to inspect values across time ranges, columns, and segments, then derive new layers such as labels or scores.

### Importing existing data

Convert data from existing formats such as MCAP, ROS 2, or Parquet into \`.rrd\`, then keep the whole workflow in one format and one catalog.

### Collaborative review and annotation

Point a team at the same recordings through a shared viewer and catalog so they can annotate, investigate failures, and trace issues back to source data.

### Training from recorded data

Build training batches directly from catalog queries so models learn from the same recordings that were logged and inspected, without a separate export format.

## Perguntas frequentes

### How do you get started with Rerun?

Rerun’s SDK is installed with \`pip install rerun-sdk\`, and the quick-start docs also show an optional \`\[dataplatform, dataloader\]\` install for queries and training features. For Rust and C++, the site points to separate install and project setup docs.

### What workflow does Rerun support?

The site says the SDK can log, query, transform, visualize, and train on multi-rate, multimodal data. The quick-start flow is to log or convert data into \`.rrd\`, register it in a catalog, and then visualize, query, or train from that catalog.

### What file formats can Rerun work with?

The web viewer opens \`.rrd\` recordings directly in the browser, and the viewer page says it is for opening and exploring \`.rrd\` recordings online. The quick-start docs also note support for \`.mcap\` files and more.

### Is Rerun free to use?

The pricing page separates the open-source SDK from Rerun Hub. The SDK is free and open source on your own machine, while Hub is a managed, single-tenant cloud offering that runs the same data layer at scale in your region.

## Informações rápidas

- **Category**: Developer Tool
- **Primary users**: Robotics and Physical AI teams
- **Platform**: Desktop SDK plus web viewer
- **Source domain**: rerun.io
- **Pricing**: Open-source SDK is free; Hub uses contact sales
- **Core workflow**: Log or convert data to \`.rrd\`, register it in a catalog, then visualize, query, and train