java-ndarray VS neureka

Compare java-ndarray vs neureka and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
java-ndarray neureka
1 4
64 64
- -
5.3 6.8
2 months ago 2 months ago
Java Java
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

java-ndarray

Posts with mentions or reviews of java-ndarray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-04.

neureka

Posts with mentions or reviews of neureka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-13.

What are some alternatives?

When comparing java-ndarray and neureka you can also consider the following projects:

panama-jextract-samples - Panama jextract samples

castlemock - Castle Mock is a web application that provides the functionality to mock out RESTful APIs and SOAP web services.

nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)

milkman - An Extensible Request/Response Workbench

multik - Multidimensional array library for Kotlin

znai - Build functional, maintainable, beautiful User Guides with markdown and Znai plugins. Instant pages navigation. Local search. Multiple integrations to work with Python, Java, C++, OpenAPI, etc. Transform "getting started" sections into slideshow for your workshops. Manage multiple documentations with self-deployed znai hub.

FlatLaf - FlatLaf - Swing Look and Feel (with Darcula/IntelliJ themes support)

papka - Object oriented library for working with file tree.

JCSG - Java implementation of BSP based CSG (Constructive Solid Geometry)

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.