Is data science/engineering in Rust practical, does it provide any benefit over Python, and what are the best crates?

1. moonfire-tflite

   1 1 9 10.0 Rust

   Rust wrapper around the TensorFlow Lite C API and edgetpu C API

   

   A great thing is it's not so complex to use tensorflow/pytorch models in Rust, using FFI (Here is a simple example on GitHub that uses tflite).

2. CodeRabbit

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3. m2cgen

   2 8 2,874 0.0 Python

   Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

   

   Probably, as many frameworks come with a Rust support (or there are wrappers). Some models, like decision tree, can also be automatically translated to plain Rust (in my company we use m2cgen to translate xgboost models to plain rust code).

4. serde

   3 199 9,619 9.0 Rust

   Serialization framework for Rust

   

   serde has support for pickle

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