Extremely fast Query Engine for DataFrames, written in Rust
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Public repositories
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Total stars
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The GitHub presence of pola-rs showcases a wide range of repositories focused on data manipulation and analysis. Notable projects include polars, an extremely fast Query Engine for DataFrames written in Rust, and geopolars, which adds geospatial extensions. The organization primarily utilizes languages like Rust, Python, and TypeScript for their repositories.
Extremely fast Query Engine for DataFrames, written in Rust
Geospatial extensions for Polars
nodejs front-end of polars
Polars R bindings
Plugins/extension for Polars
Polars plugin offering eXtra stuff for DateTimes
CLI interface for running SQL queries with Polars as backend
Book documentation of the Polars DataFrame library
JS bindings to polars
No description provided for this repository.
Coming soon
Chinese translation of the polars-book user guide
Python client for Polars Cloud
general functions for your data .pipe()-lines.
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All static files, images and such.
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WIP: Implementation of polars native parquet reader
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Landing page for Polars
Thrift definitions of parquet
Generated Rust of Apache Arrow spec
Rust bindings for the Python interpreter
No description provided for this repository.
Rust allocator using jemalloc as a backend
reproducible benchmark of database-like ops
pola-rs builds various projects on GitHub, primarily focusing on data processing solutions. Key repositories include polars for DataFrame queries and geopolars for geospatial data handling, utilizing languages such as Rust and Python.
pola-rs predominantly uses Rust and Python, along with Jupyter Notebook, R, TypeScript, and Makefile. This diverse language usage supports their wide range of data-centric projects.
Yes, all of pola-rs's repositories are public on GitHub. This allows users and developers to access and contribute to their projects, including popular ones like polars and nodejs-polars.
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