Rerun

Rerun is a multimodal data infrastructure built by a Swedish team for physical AI and robotics, adopted by top AI companies including Meta, Google, and Hugging Face. It provides a unified data layer spanning data capture, storage, visualization, and model training, solving the core pain point of debugging multi-sensor data in robotics development. In March 2025 it closed a $17 million seed round, and its GitHub has earned 15.6k+ stars.

Core Capabilities

• Multimodal data logging: Record images, point clouds, tensors, 3D scenes, and other data types through the Python/Rust/C++ SDKs
• Time-aware visualization: A GPU-accelerated interactive viewer supporting timeline playback and frame-by-frame inspection
• Efficient data queries: DataFusion DataFrames and SQL interfaces, with columnar storage optimized for query performance
• Direct training integration: An experimental PyTorch Dataloader can stream data from a Rerun catalog into model training
• ECS architecture: An Entity-Component System design that flexibly extends to custom data types

Who It's For Robotics algorithm debugging, autonomous driving perception validation, computer vision development, embodied AI training data preparation, and multi-sensor fusion analysis. Especially suited to development workflows that need time playback and offline analysis.

Unique Advantages Compared with RViz, it offers a decoupled architecture and cross-platform support; compared with Foxglove, it is lighter with a strong open-source commitment (Apache-2.0/MIT); compared with TensorBoard, it natively supports 3D and spatial data. Focused on delivering an extreme performance experience for the development phase.

Editor's Review Robotics developers report "super smooth rendering" and "visualizing the KITTI dataset in under half an hour." Written in Rust for guaranteed performance, with an open-source strategy that has earned trust. Note that the API is not yet stable ahead of a 1.0 release, but it is already the most exciting innovation in the physical AI toolchain. Rating: 4.5/5.