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Hop: The Hop Orchestration Platform, or Apache Hop, aims to facilitate all aspects of data and metadata orchestration. HTTP Server: The Apache HTTP Server application 'httpd' mod_python: module that integrates the Python interpreter into Apache server. Deprecated in favour of mod_wsgi. Apache HttpComponents: low-level Java libraries for HTTP
Apache divides its software development activities into separate semi-autonomous areas called "top-level projects" (formally known as a "Project Management Committee" in the bylaws [10]), some of which have a number of sub-projects.
Pages in category "Apache Software Foundation projects" The following 112 pages are in this category, out of 112 total. This list may not reflect recent changes. ...
In September 2008 Etch entered the start-up phase within the Apache Incubator. Cisco announced the Unified Application Environment had its "end of life" on February 8, 2012. [4] In January 2013, Etch has become an Apache top-level project. [5] Etch was marked as a "retired" project in December 2016. [6]
In 2013, the project was donated to the Apache Software Foundation and switched its license to Apache 2.0. In February 2014, Spark became a Top-Level Apache Project. [34] In November 2014, Spark founder M. Zaharia's company Databricks set a new world record in large scale sorting using Spark. [35] [33]
Apache Accumulo is a highly scalable sorted, distributed key-value store based on Google's Bigtable. [2] It is a system built on top of Apache Hadoop , Apache ZooKeeper , and Apache Thrift . Written in Java , Accumulo has cell-level access labels and server-side programming mechanisms.
Since April, 2010, Nutch has been considered an independent, top level project of the Apache Software Foundation. [2] In February 2014 the Common Crawl project adopted Nutch for its open, large-scale web crawl. [3] While it was once a goal for the Nutch project to release a global large-scale web search engine, that is no longer the case.
Apache SINGA is an Apache top-level project for developing an open source machine learning library. It provides a flexible architecture for scalable distributed training, is extensible to run over a wide range of hardware, and has a focus on health-care applications.