Rerun is an open-source viewer for time-series and multimodal data used in robotics and physical AI (images, point clouds, tensors, transforms, etc.).
In 0.30, you can plot arbitrary scalar data directly in time series views — floats, ints, uints, bools, including nested Arrow data — even without predefined semantics.
This release also introduces a new extension model: you can register custom visualizers directly into existing 2D/3D/Map views, define your own archetypes, and use fully custom shaders — without forking the Viewer. That means domain-specific GPU renderers (e.g., height fields, cost maps, learned fields) can live inside the standard app.
The Viewer now supports on-demand streaming when connected to a Rerun server or Rerun Cloud, fetching only what you’re viewing and evicting stale data as you scrub. This enables working with recordings larger than RAM — including in the web viewer beyond the 4 GiB Wasm limit.
Interested in feedback from people building robotics tooling, telemetry pipelines, or large-scale visualization systems.
An unofficial playground for Meta's SAM3D Body (DINOv3) with promptable SAM3 masks and live Rerun visualization. Uses Rerun for 3D inspection, Gradio for the UI, and Pixi for one-command setup.
Rerun is an easy-to-use database and visualization toolbox for multimodal and temporal data. It's written from the ground up in Rust using egui. You can try it live at https://rerun.io/viewer.
Rerun is the multimodal data stack to model, ingest, store, query and view robotics-style data. It's used in areas like robotics, spatial and embodied AI, generative media, industrial processing, simulation, security, and health.
Rerun is easy to use! You can use the Rerun SDK (available for C++, Python and Rust) to log data like images, tensors, point clouds, and text. Logs are streamed to the Rerun Viewer for live visualization or to file for later use. You can also query the logged data through a dataframe API.
In 0.30, you can plot arbitrary scalar data directly in time series views — floats, ints, uints, bools, including nested Arrow data — even without predefined semantics.
This release also introduces a new extension model: you can register custom visualizers directly into existing 2D/3D/Map views, define your own archetypes, and use fully custom shaders — without forking the Viewer. That means domain-specific GPU renderers (e.g., height fields, cost maps, learned fields) can live inside the standard app.
The Viewer now supports on-demand streaming when connected to a Rerun server or Rerun Cloud, fetching only what you’re viewing and evicting stale data as you scrub. This enables working with recordings larger than RAM — including in the web viewer beyond the 4 GiB Wasm limit.
Interested in feedback from people building robotics tooling, telemetry pipelines, or large-scale visualization systems.