#6 · Primary category： Robotics & Embodied AI Simulation
rerun
Visualize, query, and stream to train on multimodal robotics data.
Project last updated：08/29/26
GitHub Stars
11.4K
Forks
834
Contributors
185
License
Apache-2.0
Why we included this project
Rerun ingests multi-rate multimodal data from robot logs, human-data rigs, simulators, and recorded web video, covering camera frames, depth and lidar scans, point clouds, joint states, transforms, and time series. Its viewer keeps everything in sync so you can scrub through an episode, compare sensors side by side, and watch a CV or SLAM pipeline run live. The same recordings are queryable with dataframes or SQL and can stream straight into training, so debugging sessions double as dataset material. Python, Rust, and C++ SDKs make it straightforward to add to existing stacks. For teams building physical-AI systems where you need to see what the machine actually experienced, Rerun turns 'why did it do that' into something you can inspect.
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