Download JAR files tagged by analysing with all dependencies

The jmh is a Java harness for building, running, and analysing nano/micro/macro benchmarks written in Java and other languages targeting the JVM.

Maven plugin for analysing the licenses in dependencies and transitive dependencies, asserting compatibility and potentially fail the build if forbidden licenses appear

Java Fourier Utils, Sliding DFT. When analysing a moving window the Sliding DFT / DCT is much more efficient than using FFT.

needle4k is a light-weight framework for testing isolated Jakarta EE components outside the container. It reduces the test setup code by analysing injected dependencies and automatic creation of mock objects. needle4k is the Kotlin based successor of the well-known needle4j framework.

needle4k is a light-weight framework for testing isolated Jakarta EE components outside the container. It reduces the test setup code by analysing injected dependencies and automatic creation of mock objects. needle4k is the Kotlin based successor of the well-known needle4j framework.

Needle4j is a light-weight framework for testing isolated Java EE components outside of the container. It reduces the test setup code by analysing injected dependencies and automatic creation of mock objects.

Needle is a lightweight framework for testing Java EE components outside of the container in isolation. It reduces the test setup code by analysing dependencies and automatic injection of mock objects. It will thus maximize the speed of development as well as the execution of unit tests.

OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.