Extremely fast Query Engine for DataFrames, written in Rust
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Extremely fast Query Engine for DataFrames, written in Rust
.NET DataFrame Engine, powered by Arrow and Polars
Geospatial extensions for Polars
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Blazingly fast DataFrames for Ruby
Polars R bindings
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
Polars extension for general data science use cases
Geospatial extension for Polars DataFrames.
Blazing-Fast Bioinformatic Operations on Python DataFrames
Extremely fast quantitative factor cleaning and backtesting library, based on Polars
Datos públicos de Chile curados, normalizados y validados: geografía, demografía, economía, salud, educación y distritos electorales. Listos para consumir en una línea de código con Polars, DuckDB, SQLite y Excel.