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Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run...

...The project also supports environments where TensorFlow is already installed, giving developers more flexibility in how they configure their systems. Documentation, community discussion resources, and versioned releases indicate that the repository is maintained as a serious language binding.