Technology
Hebbian Robotics releases open-source SDK for robotics data pipelines
HFlow 0.2.0 targets scalable multimodal data ingestion, curation, and pipeline orchestration for physical AI.
The short version
- Hebbian Robotics has launched HFlow 0.2.0, an open-source Python SDK under the Apache-2.0 license designed to process multimodal robotics data.
- The software targets robotics teams by standardizing data ingestion, quality checks, cataloging, and workflow orchestration using MCAP, Apache Airflow, and DuckDB.
- The release is currently at pre-v1 status, with developers able to test the framework locally or connect existing Airflow deployments.
Key facts
- Hebbian Robotics released version 0.2.0 of HFlow, an open-source SDK under the Apache-2.0 license designed for robotics and physical AI data pipelines.[Hacker News]
- HFlow utilizes the MCAP container format as its primary input and output boundary to store synchronized video, state, and action time-series streams.[Hacker News]
- The framework generates Apache Airflow 3 DAGs for task orchestration and writes pipeline metadata into a Parquet catalog queryable via DuckDB.[Hacker News]
- The SDK includes an importer for LeRobot Dataset v3 repositories and can execute pipelines locally in-process for development without Docker or Airflow.[Hacker News]
What remains uncertain
- The timeline and specific implementation details for a planned commercial hosted control plane remain uncommitted and out of scope for the pre-v1 codebase.[Hacker News]