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Systems for capturing high-frequency sensor data into queryable columnar formats.
Distinct from Flight Data Loggers: Closest candidates focus on flight data or general processing; this is a core identity as a high-frequency columnar logger.
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Rerun is a multimodal data visualizer and robotics data logger designed for rendering synchronized streams of 3D spatial data, images, and time-series metrics. It functions as a tool for capturing high-frequency sensor data and AI outputs into a queryable columnar format, providing a dedicated interface for viewing MCAP recording files and analyzing physical environments. The project distinguishes itself as a machine learning dataset streamer, capable of feeding logged recordings directly into GPU buffers and PyTorch training pipelines without intermediate exports. It supports a high-performa
Captures and persists high-frequency sensor data and AI outputs into a queryable columnar format.