Rust and machine learning #4: practical tools (Ep. 110)

In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly.

To make a comparison with the Python ecosystem I will cover frameworks for linear algebra (numpy), dataframes (pandas), off-the-shelf machine learning (scikit-learn), deep learning (tensorflow) and reinforcement learning (openAI).

Rust is the language of the future.
Happy coding!


  1. BLAS linear algebra
  2. Rust dataframe
  3. Rustlearn
  4. Rusty machine
  5. Tensorflow bindings
  6. Juice (machine learning for hackers)
  7. Rust reinforcement learning
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