Java applications are typically deployed in multiple environments and platforms, each requiring some unique configuration. JFig gives developers a simple yet powerful tool to manage their applications’ configuration. It allows them to:
1. Store application configuration in one common repository of XML files
2. Access configuration data using one common, convenient interface
3. Easily define multiple configurations, dynamically modifying those variables that need to change in different situations
4. Eliminate the error prone practice of defining the same configuration variables in multiple locations
5. Ease the management, deployment, and control of configuration files
Spring out of the box provides little support for loading property attributes based on environments and/or server contexts. Many projects work around this by creating custom ant builds. With Configleon you can build one war file that can be deployed to every location.
Configleon really shines is in it's ability to cascade the property attributes. This allows the common attributes to be defined in a global file and then overridden at the environment and server context.
If we consider the development of a web application, it typically starts in a local environment. The application will then be deployed to various environments including dev, qa, test, and production. Within a given environment, you may be deploying the same application to different server contexts.
For example, say we are deploying the JMesa example web application to the test environment. But we also have two different versions of the application. One is deployed to mycompany.com/jmesa and the other is deployed to mycompany.com/jmesa2. In this example that same war file can use different properties based on both environment and context. In this example, the environment is test and the server context is jmesa and jmesa2.
The Problem
Authors increasingly cite webpages and other digital objects on the Internet, which can "disappear" overnight. In one study published in the journal Science, 13% of Internet references in scholarly articles were inactive after only 27 months. Another problem is that cited webpages may change, so that readers see something different than what the citing author saw. The problem of unstable webcitations and the lack of routine digital preservation of cited digital objects has been referred to as an issue "calling for an immediate response" by publishers and authors [1].
An increasing number of editors and publishers ask that authors, when they cite a webpage, make a local copy of the cited webpage/webmaterial, and archive the cited URL in a system like WebCite®, to enable readers permanent access to the cited material.
The NTFS file system implemented in NT4, Windows 2000, Windows XP, Windows XP64, and Windows7 supports a facility known as hard links (referred to herein as Hardlinks). Hardlinks provide the ability to keep a single copy of a file yet have it appear in multiple folders (directories). They can be created with the POSIX command ln included in the Windows Resource Kit, the fsutil command utility included in Windows XP or my command line ln.exe utility Thus, using standard Windows facilities Hardlinks can only be created at the command prompt, which can be tedious, especially when Hardlinks to multiple files are required or when one only makes occasional use of Hardlinks. Support for Junctions in standard Microsoft software offerings is even more limited than that offered for Hardlinks.
Open-source project management tool, intended to assist the collaborative aspect of work carried out by agile software development teams.
Free / Open-source (MIT License)
Full Development Life-cycle
Comprehensive Adminstration
Multiple projects within one instance
Powerful Add-on Interface
REST-API (Example) & RSS Support (Example)
SQLJet is an independent pure Java implementation of a popular SQLite database management system. SQLJet is a software library that provides API that enables Java application to read and modify SQLite databases.
SQLJet does not support SQL queries; there is an API to work with the database on a lower level.
What is fastjson
Fastjson is a JSON processor (JSON parser + JSON generator) written in Java:
FAST (measured to be faster than any other Java parser and databinder, incudes jackson. )
Powerful (full data binding for common JDK classes as well as any Java Bean class, Collection, Map, Date or enum)
Zero-dependency (doest not rely on other packages beyond JDK)
Open Source (Apache License 2.0)
Gson is a Java library that can be used to convert Java Objects into their JSON representation. It can also be used to convert a JSON string to an equivalent Java object. Gson can work with arbitrary Java objects including pre-existing objects that you do not have source-code of.
There are a few open-source projects that can convert Java objects to JSON. However, most of them require that you place Java annotations in your classes something that you can not do if you do not have access to the source-code. Most also do not fully support the use of Java Generics. Gson considers both of these as very important design goals.
Gson Goals
Provide simple toJson() and fromJson() methods to convert Java objects to JSON and vice-versa
Allow pre-existing unmodifiable objects to be converted to and from JSON
Extensive support of Java Generics
Allow custom representations for objects
Support arbitrarily complex objects (with deep inheritance hierarchies and extensive use of generic types)
Gson Documentation
Gson API: Javadocs for the current Gson release
Gson user guide: This guide contains examples on how to use Gson in your code.
Gson Roadmap: Details on upcoming releases
Gson design document: This document discusses issues we faced while designing Gson. It also include a comparison of Gson with other Java libraries that can be used for Json conversion
Please use the google-gson Google Group to discuss Gson, or to post questions.
What is Jackson?
Jackson is a:
Streaming (reading, writing)
FAST (measured to be faster than any other Java json parser and data binder)
Powerful (full data binding for common JDK classes as well as any Java bean class, Collection, Map or Enum)
Zero-dependency (does not rely on other packages beyond JDK)
Open Source (LGPL or AL)
Fully conformant
Extremely configurable
JSON processor (JSON parser + JSON generator) written in Java. Beyond basic JSON reading/writing (parsing, generating), it also offers full node-based Tree Model, as well as full OJM (Object/Json Mapper) data binding functionality.
Flesh is a cross-platform, open source Java application designed to quickly analyze a document and display the difficulty associated with comprehending it. It is available for all platforms that support Java. Flesh has been released under the GPL (license for use).
After processing a document, Flesh produces two scores: the Flesch-Kincaid Grade Level and the Flesch Reading Ease Score. Each of these scores is calculated after determining the number of sentences, words and syllables a document contains. Using those numbers, the Flesch-Kincaid Grade Level and Flesch Reading Ease Score can then be calculated
L. Hunyadi, and I. Vajk. Proc. of the 15th International Conference on Systems, Signals and Image Processing (IWSSIP), page 197--200. Bratislava, Slovakia, (25--28 June 2008)
C. Krueger. PFE '01: Revised Papers from the 4th International Workshop on Software Product-Family Engineering, page 282--293. London, UK, Springer, (2002)