Introducing tidypolars - a Python data frame package with syntax familiar to R tidyverse users

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • tidypolars

    Tidy interface to polars

  • If I misunderstood your question - feel free to open a discussion with a small code example and we can talk through how you can do it in tidypolars.

  • polars

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

  • The biggest difference with this one is that it's built on top of the polars package, which is probably the fastest data frame manipulation library out there. All of the other dplyr-to-python packages are build on top of pandas (which is very slow in comparison).

  • 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.

    WorkOS logo
  • db-benchmark

    reproducible benchmark of database-like ops

  • The biggest difference with this one is that it's built on top of the polars package, which is probably the fastest data frame manipulation library out there. All of the other dplyr-to-python packages are build on top of pandas (which is very slow in comparison).

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.

Suggest a related project

Related posts