Rerun is building a visualization engine for streams of multimodal data that's easy to use, adapt, and extend.

Open an issue or pull request on GitHub or join us on Discord to let the community know what you'd like to see.

This page is meant to give an high level overview of ongoing and planned work.

We continually work on we-continually-work-on

  • Performance improvements
  • UX & DX improvements
  • Supporting more data types

Roadmap of major feature areas roadmap-of-major-feature-areas

Early April 2024: release 0.15 early-april-2024-release-015

  • Layout and viewport content from code (blueprint part 1)
  • Data-loader plugins callable from the SDK
  • Linux ARM64 support in pre-built artifacts

Near term: now - end of Q2 2024 near-term-now--end-of-q2-2024

  • Property overrides from code (blueprint part 2)
    • Includes setting visible time range from code
  • Broader coverage of robotics and spatial computing data types
  • Extension mechanisms for dynamically reading from external storage
    • For example files like: VRS, MCAP, or mp4
    • Also brings support for datasets that are bigger than RAM in the native viewer

Medium term (Q3-4 2024) medium-term-q34-2024

  • Make Rerun easier to use when training and evaluating ML models
  • Deeper support for modalities like text and audio
  • Callbacks and the ability to build interactive applications with Rerun
    • For example: UI for tweaking configs, custom data annotation tools, etc

Longer term longer-term

  • Extensibility of all parts of the stack
  • Easily query data recordings from user code
  • Data format stability