Fahmatrix – A Lightweight, Pandas-Like DataFrame Library for Java

In plain words

Fahmatrix is a Java library for working with tabular data that mimics Python's pandas API. It handles CSV and TSV imports, supports Series and DataFrame structures, and enables operations like summary statistics, row and column slicing, and parallel processing on numeric columns. Built as lightweight and dependency-free, it targets Java developers who need fast data manipulation in long-running workflows on the JVM without the performance limitations of Python-based alternatives.

written from the facts on this page · September 2026

From the sources

Fahmatrix is a lightweight, modern Java library for working with tabular data, inspired by Python's Pandas and rooted in the idea of making data understanding (fahm) easy on the JVM. - moustafa-nasr/Fahmatrix

In the maker’s words, at launch

Hey HN, I’ve built Fahmatrix, a minimal, fast Java library for working with tabular data — inspired by Python’s pandas, but designed for performance and simplicity on the JVM. After working extensively with Python’s data stack, I often ran into limitations related to speed, especially in larger or long-running data…

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