The ASF @ 15 - The Apache Software Foundation Celebrates 15 Years of Open Source Innovation and Community Leadership http://s.apache.org/wZr
... and cheered at ApacheCon Europe http://s.apache.org/1o4
The ASF is made up of more than 150 top level projects which cover a wide range of technologies. Chances are if you are looking for a rewarding experience in Open Source, you are going to find it here.
Apache Flex® is a highly productive, open source application framework for building and maintaining expressive web applications that deploy consistently on all major browsers, desktops and devices (including smartphones, tablets and tv).
Apache Flex® is a highly productive, open source application framework for building and maintaining expressive web applications that deploy consistently on all major browsers, desktops and devices (including smartphones, tablets and tv). It provides a modern, standards-based language and programming model that supports common design patterns suitable for developers from many backgrounds. Flex applications can be deployed to the ubiquitous Adobe® Flash® Player in the browser, Adobe® AIR™ on desktop and mobile or to native Android™, IOS™, QNX®, Windows® or Mac® applications.
Commons CLI provides a simple API for presenting, proecessing and validating a command line interface.
Apache DataFu is a collection of libraries for working with large-scale data in Hadoop. The project was inspired by the need for stable, well-tested libraries for data mining and statistics.
Apache DataFu consists of two libraries: Apache DataFu Pig is a collection of useful user-defined functions for data analysis in Apache Pig. Apache DataFu Hourglass is a library for incrementally processing data using Apache Hadoop MapReduce. This library was inspired by the prevelance of sliding window computations over daily tracking data. Computations such as these typically happen at regular intervals (e.g. daily, weekly), and therefore the sliding nature of the computations means that much of the work is unnecessarily repeated. DataFu's Hourglass was created to make these computations more efficient, yielding sometimes 50-95% reductions in computational resources.