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Fahmatrix
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.
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 workflows. So I built Fahmatrix from scratch to offer similar APIs for manipulating CSVs, performing summary statistics, slicing rows/columns, and more — but all in Java.
Features:
Lightweight and dependency-free
CSV/TSV import with auto-headers
Series/DataFrame structures (like pandas)
describe(), mean(), stdDev(), percentile() and more
Fast parallel operations on numeric columns
Java 17+ support
Docs: https://moustafa-nasr.github.io/Fahmatrix/
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Always great to see efforts to make working with data frames easier. Here are some similar data frame libraries for Java:
https://github.com/jtablesaw/tablesaw
https://github.com/dflib/dflib
My preferred way is just use duckdb java API. I didn't see anything better in performance/efficiency. Also a SQL query is often easier to write
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Always great to see efforts to make working with data frames easier. Here are some similar data frame libraries for Java:
https://github.com/jtablesaw/tablesaw
https://github.com/dflib/dflib
My preferred way is just use duckdb java API. I didn't see anything better in performance/efficiency. Also a SQL query is often easier to write
