# Rerun

> Rerun is the Unified Data Layer for Physical AI: a platform for logging, visualizing, querying, transforming, and training on multi-rate, multimodal, time-series data in robotics, spatial computing, and embodied AI.

## How the docs are organized

### Using Rerun

| You want to… | Where to look |
| --- | --- |
| Learn by doing | [Getting Started](https://rerun.io/docs/getting-started.md) |
| Dive into a specific task | [How-to](https://rerun.io/docs/howto.md) |
| Understand how Rerun works | [Concepts](https://rerun.io/docs/concepts.md) |

### Even more details: [reference](https://rerun.io/docs/reference.md)

- [Types](https://rerun.io/docs/reference/types.md)
- [Per language API documentation](https://rerun.io/docs/reference.md)
- [CLI flags](https://rerun.io/docs/reference/cli.md)
- [Migration notes](https://rerun.io/docs/reference/migration.md)

### Contributing to Rerun

**[Developing Rerun](https://rerun.io/docs/development.md)** is for people working *on* Rerun, not just *with* it.

## Beyond the docs

- [Discord](https://discord.gg/PXtCgFBSmH) — ask questions and chat with other Rerun users
- [GitHub](https://github.com/rerun-io/rerun) — source code and issue tracker
- [Examples](https://rerun.io/examples) — see Rerun in action