Spark Framework: An expressive web framework for Kotlin and Java
import spark.kotlin.* fun main(args: Array<String>) { val http: Http = ignite() http.get("/hello") { "Hello Spark Kotlin!" } } Sponsors Spark is sponsored by YouTube shorts maker. A big thanks to them for helping the project to grow. Built for productivity Spark Framework is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Sparks intention is to provide an alterna
JD | Java Decompiler
Yet another fast Java decompilerThe “Java Decompiler project†aims to develop tools in order to decompile and analyze Java 5 “byte code†and the later versions. JD-Core is a freeware library that reconstructs Java source code from one or more “.class†files. JD-Core may be used to recover lost source code and explore the source of Java runtime libraries. New features of Java 5, such as annotations
Welcome to Apache Pig!
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets. At the present time, Pig's infrastructure l
Welcome to Apache Solr
Solr is the blazing-fast, open source, multi-modal search platform built on the full-text, vector, and geospatial search capabilities of Apache Luceneâ„¢. Learn more about Solr. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and na
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Searchable Google AppEngine with Compass | KimchyBlog
Google App Engine was released yesterday for Java. It provides the ability to deploy Java based web applications onto the App Engine, and provides a data storeGoogle App Engine was released yesterday for Java. It provides the ability to deploy Java based web applications onto the App Engine, and provides a data store service (with JPA and JDO on top of it), memcached, and others. So, what I decid
The Scala Programming Language
val fruits = List("apple", "banana", "avocado", "papaya") val countsToFruits = // count how many 'a' in each fruit fruits.groupBy(fruit => fruit.count(_ == 'a')) for (count, fruits) <- countsToFruits do println(s"with 'a' × $count = $fruits") // prints: with 'a' × 1 = List(apple) // prints: with 'a' × 2 = List(avocado) // prints: with 'a' × 3 = List(banana, papaya)
SpringSource Team Blog » Write your Google App Engine applications in Groovy
Google just announced that their Google App Engine cloud hosting platform now supports other languages than Python: namely Java and Groovy! You can now effectively write your Google App Engine applications in Groovy! A couple of weeks ago, the SpringSource Groovy team and the Google App Engine Java team worked together, hand in hand, to iron out the details, to ensure that the popular and award-wi
JRuby on Rails on Google App Engine | Ola Bini: Programming Language Synchronicity
This is the third post in a series detailing information about the newly announced Google App Engine support for Java. In this post I thought I’d go through the steps you need to take to get a JRuby on Rails application working on GAE/J, and also what kind of characteristics you should expect from your application. You need a fairly new copy of JRuby. Most of the changes needed to JRuby was added
Migrating from the Google Plugin for Eclipse  | Cloud Tools for Eclipse  | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. The Google Plugin for Eclipse (GPE) is no longer available. This document describes how to migrate a project that uses GPE to Cloud Tools for Eclipse. App Engine Standard Cloud Tools for Eclipse supports development for the App Engine environment. To migrate your existing GPE project to Cloud Tools for Eclipse:
Apache POIâ„¢ - the Java API for Microsoft Documents
30 November 2025 - POI 5.5.1 available The Apache POI team is pleased to announce the release of 5.5.1. Several dependencies were updated to their latest versions to pick up security fixes and other improvements. A summary of changes is available in the Release Notes. A full list of changes is available in the change log. People interested should also follow the dev list to track progress. See the
Project Voldemort
Voldemort is a distributed key-value storage system Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization
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Google Code Archive - Long-term storage for Google Code Project Hosting.
Google Code Archive - Long-term storage for Google Code Project Hosting.
Google Code Archive - Long-term storage for Google Code Project Hosting.
neo4j open source nosql graph database
http://www.rcdtokyo.com/man/doja/api/index.html
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