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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

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    Data Efficient Autonomous Research Substrate. Archetype compiles multi-agent worlds into vectorized dataflow programs and persists every completed superstep as queryable history.

    Python 24 5

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

    Examples for using the Daft data engine

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  4. bsota/collective bsota/collective Public

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  5. 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 3

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

    Physical-AI data processing on Daft: hand tracking, reward scoring, and motion trimming

    Python 9 2