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This page tracks the project status, incubator-wise. For more general project status, look on the project website. Weex is a framework for building Mobile cross-platform high performance UI. Weex enables developers to use Web-like syntax to build iOS, Android and Web UI with a single codebase. The Weex podling retired on 2021-05-14 2018-12-10 Release 0.20.0 2018-10-08 Release 0.19.0 2018-08-04 New
This page tracks the project status, incubator-wise. For more general project status, look on the project website. The Hivemall podling retired on 2022-09-01 Hivemall is a library for machine learning implemented as Hive UDFs/UDAFs/UDTFs. Hivemall runs on Hadoop-based data processing frameworks, specifically on Apache Hive, Apache Spark, and Apache Pig, that support Hive UDFs as an extension mecha
One of the goals of incubation is to teach podling communities how to build ASF-compliant releases. As part of the learning process, the podling community needs to be fully engaged in the release review process. A podling community should begin to familiarize itself with the ASF policies for releases. Those policies can be found at http://www.apache.org/dev/#releases. Releases are always produced
This page tracks the project status, incubator-wise. For more general project status, look on the project website. Ripple is going to be (in some circles already is) the goto emulator for rapid development of mobile web applications. This will be accomplished by quickly keeping up with the mobile web platforms as they arise (Cordova, Tizen, WAC, WebWorks, etc). The Ripple podling retired on 2015-1
This page tracks the project status, incubator-wise. For more general project status, look on the project website. Blur is a search platform capable of searching massive amounts of data in a cloud computing environment. The Blur project retired on 2017-06-22
This page tracks the project status, incubator-wise. For more general project status, look on the project website. MRQL is a query processing and optimization system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, and Spark. The MRQL podling retired on 2017-08-17.
Agility Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Flexibility Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data Query any non-relational datastore (well, almost...) Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB,
Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform. CloudStack is used by a number of service providers to offer public cloud services, and by many companies to provide an on-premises (private) cloud offering, or as part of a hybrid cloud solut
This project has retired. For details please refer to its Attic page. Apache Crunch Simple and Efficient MapReduce Pipelines The Apache Crunch Java library provides a framework for writing, testing, and running MapReduce pipelines. Its goal is to make pipelines that are composed of many user-defined functions simple to write, easy to test, and efficient to run. Apache Crunch moved to the Apache At
Apache Bloodhound™ Manage software products Keep track of features, tasks and bugs Standing on the shoulders of Trac, Apache Bloodhound is a free and open source project hosted by the Apache Software Foundation. Multiple Products Manage anything from your one pet project to dozens of commercial or open source products, and scale seamlessly in-between. The built-in Wiki allows you to make plans, cr
Introduction The Apache Ambari project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. Ambari provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs. Ambari enables System Administrators to: Provision a Hadoop Cluster Ambari provides a step-by-step wizard for installing Hadoop ser
This page tracks the project status, incubator-wise. For more general project status, look on the project website. The Drill project graduated on 2014-11-19
Program against your datacenter like it’s a single pool of resources Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. Download Mesos Mesos 1.11.0 Changelog What is Mesos? A distributed systems kernel Mesos is built using the same principl
Installing Cordova Cordova command-line runs on Node.js and is available on NPM. Follow platform specific guides to install additional platform dependencies. Open a command prompt or Terminal, and type npm install -g cordova.
Apache Hive The Apache Hive ™ is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale and facilitates reading, writing, and managing petabytes of data residing in distributed storage using SQL. Github Mail Docker Community Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Hive Metastore(HMS) provid
Audio/Video Conferencing HTML5 Audio/Video conferencing with OpenMeetings in web and mobile. Calendar You can create meetings with the integrated calendar, conference rooms and invitations are automatically send to everybody File Explorer Each room has its own File-Explorer. Each user has his own private drive and additionally there is a public drive to share files with other participants Integrat
× Flash Player in the Browser support is ending! Adobe, along with all the major browser vendors (Google Chrome, Mozilla Firefox, Microsoft Edge) have announced that they will no longer support the Adobe Flash Player™ runtime at the end of 2020. If you are looking to output content to the browser, you should check out our sister project Apache Royale™, which allows you to continue to use ActionScr
Why we built this Kafka is a messaging system that was originally developed at LinkedIn to serve as the foundation for LinkedIn's activity stream processing pipeline. Activity stream data is a normal part of any website for reporting on usage of the site. Activity data is things like page views, information about what content was shown, searches, etc. This kind of thing is usually handled by loggi
A high-throughput, distributed, publish-subscribe messaging system.Apache Kafka is a distributed publish-subscribe messaging system Apache Kafka is a distributed publish-subscribe messaging system. It is designed to support the following Persistent messaging with O(1) disk structures that provide constant time performance even with many TB of stored messages. High-throughput: even with very modest
This page tracks the project status, incubator-wise. For more general project status, look on the project website. The S4 project retired on 2014-06-19 S4 (Simple Scalable Streaming System) is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous, unbounded streams of data.
Apache Callback is a platform for building native mobile applications using HTML, CSS and JavaScript. 2011-10-21 github.com/callback for use until transition to Apache infrastructure is complete 2011-10-22 All committer accounts requested. 2011-10-18 Mailing lists created 2011-10-15 Project enters incubation.
Apache Kafka is a distributed publish-subscribe messaging system Apache Kafka is a distributed publish-subscribe messaging system. It is designed to support the following Persistent messaging with O(1) disk structures that provide constant time performance even with many TB of stored messages. High-throughput: even with very modest hardware Kafka can support hundreds of thousands of messages per s
This project has retired. For details please refer to its Attic page. Welcome to Apache Stanbol! Apache Stanbol provides a set of reusable components for semantic content management. Apache Stanbol's intended use is to extend traditional content management systems with semantic services. Other feasible use cases include: direct usage from web applications (e.g. for tag extraction/suggestion; or te
Apache/ Bigtop/ Apache Bigtop | Last Published: 2024-07-10 Version: 3.4.0-SNAPSHOT Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark. Packagin
Apache / Giraph / Welcome To Apache Giraph! Last Published: 2020-08-11 | Version: 1.4.0-SNAPSHOT Welcome to Apache Giraph! Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing a
Apache OpenOffice® is the free and open productivity suite from the Apache Software Foundation. Apache OpenOffice features six personal productivity applications: a word processor (and its web-authoring component), spreadsheet, presentation graphics, drawing, equation editor, and database. OpenOffice is released on Windows, Linux and macOS, with more communities joining, including ports for FreeBS
This project has retired. For details please refer to its Attic page. Overview The Apache Lucy search engine library provides full-text search for dynamic programming languages. It is a "loose C" port of the Apache Lucene™ search engine library for Java. Download The current release of Apache Lucy is 0.6.2. It requires the Apache Clownfish symbiotic object system. Getting Started After downloading
Welcome to Apache OpenNLP The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. Get started Download About OpenNLP supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution. Find out more about it in our manua
This page tracks the project's status in the incubator. For more general project status, please see the project website. The Wave project retired on 2018-01-15 Apache Wave is the project where wave technology is developed at Apache. Wave in a Box (WIAB) is the name of the main product at the moment, which is a server that hosts and federates waves, supports extensive APIs, and provides a rich web
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