1.pola-rs / polars
Extremely fast Query Engine for DataFrames, written in Rust
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20 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Extremely fast Query Engine for DataFrames, written in Rust
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
cuDF - GPU DataFrame Library
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Apache DataFusion Ballista Distributed Query Engine
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Statistical Machine Intelligence & Learning Engine
Modin: Scale your Pandas workflows by changing a single line of code
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Java dataframe and visualization library
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Clean APIs for data cleaning. Python implementation of R package Janitor
An experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Koalas: pandas API on Apache Spark
C# and F# language binding and extensions to Apache Spark
Easy pipelines for pandas DataFrames.
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.