Download JAR files tagged by students with all dependencies

Creates program that serializes thrift students to HDFS sequence files. For an example, see hadoo-thrift-example-archetype

This is the common API between the frameworks and the quests of a RPG game developed by different groups of CS students. This API should ensure that all frameworks and all quests comply together.

An archetype for ISSAE Cnam Liban students for POJO projects. Pre-requisite 1- Must define gpg key for signing jar gpg --gen-key 2- You could olso publish your key gpg- keyserver ___ --send-key ____

This is Java version of leaflet.js library for rendering of mobile friendly interactive maps. The API has been designed by students of Johannes Kepler University of Linz and is distributed as part of the DukeScript project.

spring-boot-netty-starter It is an integration framework for sprint boot and netty. For students who are not familiar with netty, it can quickly develop socket servers based on netty. It implements a large number of annotations and process interceptors, which can seamlessly connect with sprint boot for rapid development.

jVisualizer aims to provide an easy tool to visualize data flow and objects within the JVM. It is intended for students that are starting to learn programming with Java. This project provides an easy way to use the jVisualizer to visualizer your own projects and code.

MOJI is an unofficial client for the MOSS plagiarism detection service. It allows you to check source codes of students for plagiarism or collusion. MOJI has the following key features: - Pure Java implementation with few dependencies - Cross-platform support

ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions in particular of new methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.