Rust tensor library matten releases final series installment on companion crates

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The fourth and final article in the matten series introduces three companion crates — matten-ndarray, matten-mlprep, and matten-data — each with a narrow, self-contained scope and no dependency on the core matten crate. matten-ndarray handles bidirectional conversion between matten tensors and ndarray's ArrayD, while matten-mlprep provides deterministic preprocessing utilities such as standardization and train-test splitting. matten-data offers a pipeline for loading CSV files into numeric tensors with named column selection and missing-value handling. The article also outlines clear migration signals, noting that matten's 64×64 matrix multiplication runs roughly 7–9 times slower than ndarray or nalgebra, making it better suited for early-stage prototyping than performance-critical loops. The library remains pre-1.0, with a version 1 release planned when maintainers consider it ready rather than on a fixed schedule.

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