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

• moonfire-tflite

  1 6 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).

• m2cgen

  8 2,706 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).

• WorkOS

  workos.com

  sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• serde

  191 8,530 9.2 Rust

  Serialization framework for Rust

  

  serde has support for pickle

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