HFlow is an open-source SDK from Hebbian Robotics for multimodal robotics and physical-AI data. Developers define transforms, quality checks, labels, and enrichments while HFlow handles orchestration, storage, versioning, provenance, and curation so dataset construction remains inspectable and reproducible.
GitHub repository
https://github.com/Hebbian-Robotics/hflowLicense
Not available
Stars
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This is an independent tool overview. Check the project repository for current releases, compatibility, and installation requirements.
Features
- Multimodal data pipelines
- Custom transforms and checks
- Versioning and provenance
- Dataset curation
Use Cases
- Process robotics sensor data
- Build training datasets
- Trace data-processing provenance
- Reproduce physical-AI pipelines
FAQ
HFlow is an open-source SDK from Hebbian Robotics for multimodal robotics and physical-AI data. Developers define transforms, quality checks, labels, and enrichments while HFlow handles orchestration, storage, versioning, provenance, and curation so dataset construction remains inspectable and reproducible. Repository: https://github.com/Hebbian-Robotics/hflow.
Common real-world fits include: Process robotics sensor data, Build training datasets, Trace data-processing provenance.
