[D] What are tools you wish you knew about earlier in your ML career?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Python Environment Management dataframe-library Dataframe Dataframes

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  • polars

    Dataframes powered by a multithreaded, vectorized query engine, written in Rust

    • I think all the issues with Pandas are also expressed in this library: https://github.com/pola-rs/polars

  • pyenv

    Simple Python version management

    • pyenv for reducing the messiness of python environments, and not messing up your system python

  • WorkOS

    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.

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  • zotero-citationcounts

    Zotero plugin for auto-fetching citation counts from various sources

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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