How moving from Pandas to Polars made me write better code without writing better code

• connector-x

  11 1,796 9.1 Rust

  Fastest library to load data from DB to DataFrames in Rust and Python

  

This was originally a blocker, however, we managed to set up a multi-stage Docker build to build from source. Here is the Github issue where we, along with community members, managed to solve it.

• Apache Arrow

  76 13,601 10.0 C++

  Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  

In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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