awesome-polars
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A curated list of polars projects and resources.
Awesome Polars 
A carefully curated list of Polars projects and resources.
Polars is a blazingly fast DataFrame library implemented in Rust using the Apache Arrow Columnar Format.
If you have an awesome project you'd like to add to this list check out our CONTRIBUTING.md.
Contents
- DataFrame Libraries
- Data Tools
- Polars Bindings
- Polars Extensions
- Polars Wrappers
- Shells
- Resources
- User Guides
DataFrame Libraries
- Explorer - DataFrames for Elixir.
Data Tools
- patito - A data modeling layer built on top of Polars and Pydantic.
Polars Extensions
- geopolars - Geospatial DataFrames for Rust and Python.
- polars-mongo - Extension to read from mongodb collections via the LazyFrame apis.
Polars Bindings
- r-polars - Bring polars to R.
- nodejs-polars - NodeJS front-end of Polars.
Polars Wrappers
- tidypolars - Tidy interface to Polars.
Shells
- Nushell - A new type of shell.
Resources
Resources for more about Polars.
User Guides
Contributing
See CONTRIBUTING.md.