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/ GitHub: https://github.com/moustafa-nasr/fahmatrix
I’d love feedback from the Java and data communities — especially if you’ve ever wanted a simple dataframe utility in Java without needing full-scale ML libraries.
Happy to answer any questions!
Comments URL: https://news.ycombinator.com/item?id=44012074
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