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[] (https://drone.io/bitbucket.org/tidalwave/thesefoolishthings-superpom-src/latest) A feature-rich SuperPOM for building Java projects. It features: * explicit version configuration for a number of plugins; * easy configurability by means of pre-defined properties to avoid cut & copy of plugin sections. A number of profiles, that can be easily activated, are available for: * Spring-AOP configuration; * different kinds of Continuous Integration tasks, including a full run of QA tools such as JaCoCo, FindBugs, PMD, etc... * deploying WARs and locally running them with Tomcat or Jetty; * creating a Mac OS X bundle for JavaFX applications; * creating .deb packages for both application and services; * a customized release cycle, including all requirements for the Maven Central such as signing, with a 'transactional' behaviour (all artifacts, both the DSCM and the Maven artifacts are prepared on the local disk, so they can be uploaded in a second moment); Remember to customise it ------------------------ If you use it, please remember to change the ```description```,```url```, ```organization```, ```developers```, ```license```, etc... to override those related to the development of this POM.

GroupDocs.Metadata for Java is a class library to process metadata associated with various Document, Image, CAD, Audio, Video and Archive formats. Key Features: - Covers most popular metadata standards: XMP, EXIF, IPTC, Image Resource Blocks, ID3, document properties - Covers most popular document formats: Microsoft Word, Microsoft Excel, Microsoft PowerPoint, PDF, Microsoft OneNote, Microsoft Visio, Open Document Format - Covers most popular image formats: BMP, GIF, DjVu, JPEG, PNG, TIFF, PSD, WebP, WMF, EMF, DICOM - Covers most popular email formats: Outlook Message, Email Message - Covers most popular audio formats: Mp3, WAV - Covers most popular video formats: Avi, Mov - Create, modify and remove metadata associated with supported document and image formats with a few lines of code - Manage EXIF metadata in Jpeg and TIFF formats - Manage XMP metadata in image and PDF formats - Manage Image Resource blocks in image formats - Manage audio metadata: ID3 tag (ID3v1, ID3v2), Lyrics3 tag, APE - Utilities to inspect and clean hidden metadata in document formats - Utilities to Search and Compare all metadata - Utilities to Export metadata to Excel/Csv - Metadata cleaner utility - MIME type detection - Read track changes. Accept or reject track changes - Read EXIF maker-notes: Sony, Nikon, Canon, Panasonic For more details on the library, please visit GroupDocs website at: https://products.groupdocs.com/metadata/Java Note: The library comes up with some limitations in the evaluation mode. In order to test full features of GroupDocs.Metadata for Java library, please request a free 30-day temporary license.

git-commit-id-plugin is a plugin quite similar to https://fisheye.codehaus.org/browse/mojo/tags/buildnumber-maven-plugin-1.0-beta-4 for example but as buildnumber only supports svn (which is very sad) and cvs (which is even more sad). This plugin makes basic repository information available through maven resources. This can be used to display "what version is this?" or "who has deployed this and when, from which branch?" information at runtime - making it easy to find things like "oh, that isn't deployed yet, I'll test it tomorrow" and making both testers and developers life easier. The data currently exported is like this (that's the end effect from the GitRepositoryState Bean): { "branch" : "testing-maven-git-plugin", "commitTime" : "06.01.1970 @ 16:16:26 CET", "commitId" : "787e39f61f99110e74deed68ab9093088d64b969", "commitUserName" : "Konrad Malawski", "commitUserEmail" : "[email protected]", "commitMessageFull" : "releasing my fun plugin :-) + fixed some typos + cleaned up directory structure + added license etc", "commitMessageShort" : "releasing my fun plugin :-)", "buildTime" : "06.01.1970 @ 16:17:53 CET", "buildUserName" : "Konrad Malawski", "buildUserEmail" : "[email protected]" } Note that the data is exported via maven resource filtering and is really easy to use with spring - which I've explained in detail in this readme https://github.com/ktoso/maven-git-commit-id-plugin

Apache Commons Crypto is a cryptographic library optimized with AES-NI (Advanced Encryption Standard New Instructions). It provides Java API for both cipher level and Java stream level. Developers can use it to implement high performance AES encryption/decryption with the minimum code and effort. Please note that Crypto doesn't implement the cryptographic algorithm such as AES directly. It wraps to OpenSSL or JCE which implement the algorithms. Features -------- 1. Cipher API for low level cryptographic operations. 2. Java stream API (CryptoInputStream/CryptoOutputStream) for high level stream encryption/decryption. 3. Both optimized with high performance AES encryption/decryption. (1400 MB/s - 1700 MB/s throughput in modern Xeon processors). 4. JNI-based implementation to achieve comparable performance to the native C/C++ version based on OpenSsl. 5. Portable across various operating systems (currently only Linux/MacOSX/Windows); Apache Commons Crypto loads the library according to your machine environment (it checks system properties, `os.name` and `os.arch`). 6. Simple usage. Add the commons-crypto-(version).jar file to your classpath. Export restrictions ------------------- This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software, to see if this is permitted. See <http://www.wassenaar.org/> for more information. The U.S. Government Department of Commerce, Bureau of Industry and Security (BIS), has classified this software as Export Commodity Control Number (ECCN) 5D002.C.1, which includes information security software using or performing cryptographic functions with asymmetric algorithms. The form and manner of this Apache Software Foundation distribution makes it eligible for export under the License Exception ENC Technology Software Unrestricted (TSU) exception (see the BIS Export Administration Regulations, Section 740.13) for both object code and source code. The following provides more details on the included cryptographic software: * Commons Crypto use [Java Cryptography Extension](http://docs.oracle.com/javase/8/docs/technotes/guides/security/crypto/CryptoSpec.html) provided by Java * Commons Crypto link to and use [OpenSSL](https://www.openssl.org/) ciphers

Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to allow for good performance also for non-distributed algorithms. Scalable to support your business case. Mahout is distributed under a commercially friendly Apache Software license. Scalable community. The goal of Mahout is to build a vibrant, responsive, diverse community to facilitate discussions not only on the project itself but also on potential use cases. Come to the mailing lists to find out more. Currently Mahout supports mainly four use cases: Recommendation mining takes users' behavior and from that tries to find items users might like. Clustering takes e.g. text documents and groups them into groups of topically related documents. Classification learns from existing categorized documents what documents of a specific category look like and is able to assign unlabelled documents to the (hopefully) correct category. Frequent itemset mining takes a set of item groups (terms in a query session, shopping cart content) and identifies, which individual items usually appear together.

Alphatier is a resource management library. It is designed to allow different schedulers to share the resources of a pool of executors in order to execute tasks with those. Read the [detailed documentation](#io.alphatier.pools) below to get an in-depth understanding. ## License Copyright &copy; 2014 [Tobias Sarnowski](mailto:[email protected]), [Willi Schönborn](mailto:[email protected]) Permission to use, copy, modify, and distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. ## Usage The library is written in [Clojure](http://clojure.org/) and is available in the [central Maven repository](https://repo1.maven.org/maven2/io/alphatier/alphatier/): <dependency> <groupId>io.alphatier</groupId> <artifactId>alphatier</artifactId> <version>0.3.0</version> </dependency> The library is written in pure Clojure without [ahead-of-time compilation](http://clojure.org/compilation). This means, that the library does not contain any *.class files. If you work with Clojure, this is not a problem but if you like to use the library from another JVM language (like Java, Scala or Groovy), you can use [Clojure's built-in tools](http://clojure.org/java_interop#Java%20Interop-Calling%20Clojure%20From%20Java) for interoperability or try our Java library: [https://github.com/sarnowski/alphatier-java](https://github.com/sarnowski/alphatier-java) ### Development If you like to change this library, please have a look at the [README](README.md). Development is done via [Github](https://github.com/sarnowski/alphatier).

Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to allow for good performance also for non-distributed algorithms. Scalable to support your business case. Mahout is distributed under a commercially friendly Apache Software license. Scalable community. The goal of Mahout is to build a vibrant, responsive, diverse community to facilitate discussions not only on the project itself but also on potential use cases. Come to the mailing lists to find out more. Currently Mahout supports mainly four use cases: Recommendation mining takes users' behavior and from that tries to find items users might like. Clustering takes e.g. text documents and groups them into groups of topically related documents. Classification learns from exisiting categorized documents what documents of a specific category look like and is able to assign unlabelled documents to the (hopefully) correct category. Frequent itemset mining takes a set of item groups (terms in a query session, shopping cart content) and identifies, which individual items usually appear together.