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Scaling AI Pipelines with Daft
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Scaling AI Pipelines with Daft
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  1. Eventual-Inc/Daft Eventual-Inc/Daft Public

    High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

    Rust 5.7k 529

  2. Eventual-Inc/daft-examples Eventual-Inc/daft-examples Public

    Examples for using the Daft data engine

    Jupyter Notebook 15 3

  3. VangelisTech/archetype VangelisTech/archetype Public

    An AI-Native ECS Simulation Engine combining the composibility of Pydantic with the distributed processing power of Daft Dataframes and Multi-Modal Big Data storage with Iceberg

    Python 24 5

  4. bsota/collective bsota/collective Public

    7 6

  5. Eventual-Inc/daft-physical-ai Eventual-Inc/daft-physical-ai Public

    Physical-AI data processing on Daft, starting with hand tracking

    Python 5 1

  6. Eventual-Inc/physical-ai-evals Eventual-Inc/physical-ai-evals Public

    Industry grade VLA-JEPA on LIBERO on single process Python 3.12. Reproducible physical ai policy model benchmarks with queryable failure forensics on Daft Dataframes; scales on Modal

    Python 1