Pandas is a fast, powerful, and flexible open-source data analysis and manipulation library for Python, built on top of NumPy.. There are currently 7 open-source alternatives to Pandas, with a combined total of 11.2k GitHub stars. The most common language among these projects is Go.
Showing 7 open-source alternatives
A Java dataframe and visualization library for data loading, cleaning, transformation, and analysis.
A Go library providing DataFrames, Series, and data wrangling operations for structured data manipulation.
A flexible and fast package for in-memory tabular data manipulation and analysis in the Julia programming language.
A lightweight and intuitive Go library for data manipulation, statistics, and machine learning using DataFrames.
A high-performance, functional tabular data processing library for Clojure, similar to Python's Pandas or R's data.table.
A Rust crate for type-conscious, tabular data manipulation with an expressive, functional interface.
A Rust DataFrame and data engineering library with PySpark/SQL-like syntax, built for business data pipelines with Microsoft stack integration.
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