The OP is from 2011. So as of end of 2015 I would like mention that there is a new kid in town which claims to be numpy for java -> nd4j]. The nice thing is that nd4j is an abstraction layer on top of different libraries like blas. Depending on the size of your matrices there are underlying implementations twice as fast as numpy or jblas. And your code is real platform independent.

Answer from KIC on Stack Overflow
🌐
InfoWorld
infoworld.com › home › brandposts › bringing the world of deep learning to java
A Guide to Using NDArrays in Java | InfoWorld
December 8, 2020 - In Python, the standard library for NDArrays is called NumPy. However, there is no equivalent standard library in Java. One offering for Java developers interested in working with NDArrays is AWS’s Deep Java Library (DJL).
Discussions

math - Java equivalent to NumPy - Software Recommendations Stack Exchange
In the Python world, if I have some number crunching to do, I use NumPy and it's friends like Matplotlib. Now I have an Android/Java application and the need arises to crunch some numbers and I am More on softwarerecs.stackexchange.com
🌐 softwarerecs.stackexchange.com
NumPy equivalent for Java?
Python only needs NumPy because NumPy performs its tasks directly in C, which is way faster than Python. Java doesn't need something like that, as it's a partially compiled language with many parts of the base modules written directly in Assembly. Therefore the equivalent for NumPy in Java would simply be the standard Java math module More on reddit.com
🌐 r/learnjava
11
14
November 4, 2021
python - Is there any Java equivalent of NumPy? - Stack Overflow
I tried to get predictions from tflite model to get eye region landmarks. I successfully got values from tflite model using python script but I didn't know how can I got those values using MLKit fi... More on stackoverflow.com
🌐 stackoverflow.com
What is comparable to Python Pandas and Numpy in Java?

https://github.com/cardillo/joinery

More on reddit.com
🌐 r/learnjava
2
1
October 12, 2020
🌐
Beyondthelines
beyondthelines.net › machine-learning › nd4j-numpy-for-the-jvm
Nd4j – Numpy for the JVM – Beyond the lines
JavaCPP also manages the off-heap memory where the data (tensors/matrices/…) are stored. Now that we’re all setup let’s see how the code looks like with a very basic example: ... val ones = Nd4j.create(3, 2) // 3 x 2 matrix filled with 0s ones.addi(1.0) // addi stands for add in-place println(s"ones: \n$ones") val matrix = Nd4j.create( Array(1.0, 2.0, 3.0, 4.0, 5.0, 6.0), // the values Array(3, 2), // dimensions: 3 x 2 'c' // 'c' c-style (row major) ) println(s"matrix: \n$matrix") val result = ones.transpose mmul matrix // onesT x matrix println(s"result: \n$result")
🌐
DEV Community
dev.to › darius_nica › introducing-numpy4j-bringing-numpy-style-computing-tojava-3gha
Introducing NumPy4J: Bringing NumPy-Style Computing toJava - DEV Community
July 22, 2026 - I wanted a similar experience in Java: a lightweight, dependency-free library for working with multidimensional arrays and linear algebra. That idea became NumPy4J.
Find elsewhere
🌐
Reddit
reddit.com › r/learnjava › what is comparable to python pandas and numpy in java?
r/learnjava on Reddit: What is comparable to Python Pandas and Numpy in Java?
October 12, 2020 -

I'm looking to build an application which connects to a SQL Server database, manipulates data pulled from it, reads an excel file, manipulates data inside it and writes a CSV file (to be read by some other application).

I've created a program that does exactly this in Python using pandas and numpy.

What are comparable Java packages/modules?

Side note: I know very little Java and figure this could be a good first project for me.

🌐
Reddit
reddit.com › r/java › numpy equivalent for java?
r/java on Reddit: NumPy equivalent for Java?
November 4, 2021 - it does have some datatypes in (such as biginteger) but the the collections (similar to some found in numpy) are in java.util
🌐
NumPy
numpy.org › doc › 2.2 › reference › generated › numpy.ones_like.html
numpy.ones_like — NumPy v2.2 Manual
>>> y = np.arange(3, dtype=float) >>> y array([0., 1., 2.]) >>> np.ones_like(y) array([1., 1., 1.])
🌐
Imagej
py.imagej.net › en › latest › 03-Sending-Data-to-Java.html
3 Converting to Java: ij.py.to_java() — PyImageJ documentation
The function ij.py.to_java() is capable of converting common Python and NumPy data types into their Java/ImageJ equivalent. There is one important nuance; converting a NumPy array to Java creates a Java object that points to the NumPy array.
🌐
AskPython
askpython.com › python-modules › numpy › numpy-ones_like
NumPy ones_like – A Complete Guide - AskPython
December 16, 2022 - The ones_like method in NumPy is a function that returns an array of ones having the same shape and size as the given array.
🌐
GitHub
github.com › JosephCottam › Numpy4J
GitHub - JosephCottam/Numpy4J: Interface Java with Numpy. Try to be reasonable. · GitHub
What works: If you make an NPArray (that's the Java class that represents a Numpy array), you can execute max, min, log and array-array multiply. For log and multiply, the resulting NPArray is actually backed by memory that numpy allocated for ...
Starred by 56 users
Forked by 5 users
Languages: Java 53.0% | C 40.1% | Python 6.0% | C++ 0.9%
🌐
YouTube
youtube.com › shorts › 0N7y2m6E5KQ
How to use numpy.ones_like() function #python #numpy #shorts - YouTube
#python #programming #shorts #array#pythonprogramming #numpy #tutorial #numpytutorialHow to use numpy.ones_like() function in Python's NumPynumpy.ones_like()
Published: August 25, 2025
🌐
Medium
hakmesyo.medium.com › ojl-java-and-numpy-python-performance-benchmark-on-massive-matrix-operations-7127345116e4
OJL (Java) and Numpy (Python) performance benchmark on massive matrix operations | by Musa Ataş | Medium
November 6, 2022 - OJL (Java) and Numpy (Python) performance benchmark on massive matrix operations OJL, also known as the Open Jazari Library, https://github.com/hakmesyo/open-jazari-library is a library developed in …
🌐
JAX Documentation
docs.jax.dev › en › latest › _autosummary › jax.numpy.ones_like.html
jax.numpy.ones_like — JAX documentation
>>> x = jnp.arange(4) >>> jnp.ones_like(x) Array([1, 1, 1, 1], dtype=int32) >>> jnp.ones_like(x, dtype=bool) Array([ True, True, True, True], dtype=bool) >>> jnp.ones_like(x, shape=(2, 3)) Array([[1, 1, 1], [1, 1, 1]], dtype=int32)