GloboNote is a desktop note taking application. It helps you to create to-do lists, reminders, and other notes in one place. There is no limit in the number of sticky notes you can create. Notes can be organized by groups and searched using the search tool. You can format a note's text, change its color, font, size, and transparency level. You can make a note sticky by setting it to always stay on top, or hide or roll-up a note when not use. You can set alarms, play custom alarm sounds (WAV, MP3, AIFF, and AU), attach files, insert images, and more.
TimeMachine Scheduler is a Java scheduler which can scale and run a high volume of jobs with many different types of schedules, such as repeating on a fixed interval or based on cron expressions. The scheduler can control the job executions with thread pools, and it can persist job data into different storage receptacles. Users may use the built-in schedule server with an easy-to-use configuration file, or developers may use it as a library to extend the scheduler and write custom jobs, schedules, or user services.
documentr is a Web-based tool for editing and presenting software documentation. It allows you to easily maintain documentation for multiple products and product branches. Edits can easily be copied between branches, with merge conflicts being handled gracefully. It uses Markdown as its markup language, along with some extensions, and has a role-based permission system.
DKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. Many powerful and state-of-the-art NLP components are already freely available in the NLP research community. New and improved components are being developed and released continuously. The components cover the whole range of NLP-related processing tasks. DKPro Core provides wrappers for such third-party tool as well as original NLP components. DKPro Core builds heavily on uimaFIT which allows for rapid and easy development of NLP processing pipelines.
Unlike other Java to Objective-C solutions, Java-Objective-C Bridge doesn't require any code generation of class stubs. It allows you to use any Objective-C libraries and frameworks from Java without having to write any native code. In addition to being able to use Objective-C objects, it allows you to pass Java objects to the objective-c runtime as delegates, so that you can write an entire Cocoa application in Java. The bridge provides 3 levels of abstraction. At the lowest level, it provides wrappers around the Objective-C runtime functions. At a slightly higher level of abstraction, it provides a procedural API to send messages to the Objective-C runtime. At the highest level of abstraction, it provides a Proxy class that serves as a wrapper around any Objective-C object that allows you to work with it in Java almost the same as if you were in Objective-C.
CKEditor.Java provides an object with a simple interface for creating and configuring an editor instance. This makes the deployment of the CKEditor a piece of cake. It is intended to be used in servlet-based systems like JSP as well as template engines like Velocity or FreeMarker. There are some notable differences between this library and the official CKEditor for Java library. CKEditor.Java isn't focused on JSP and can be used in all servlet-based systems. A tag library isn't provided yet! It also has advanced handling of properties. It's possible to set all CKEditor configuration for the entire Web application in one properties file. This keeps the front-end code clean. The state-of-the-art logging facade slf4j is used.
C5Connector.Java is a backend for the Core Five file manager. It provides a bridge between the file manager and a storage backend and works like a transparent virtual file system or a proxy. It includes a default implementation for accessing the local filesystem (on the server side). The API encapsulates the building of JSON and is intended to be used within JSPs as well as with a template engine like Velocity or FreeMarker.
DKPro WSD provides UIMA components which encapsulate corpus readers, linguistic annotators, lexical semantic resources, WSD algorithms, and evaluation and reporting tools. You configure the components, or write new ones, and arrange them into a data processing pipeline. DKPro WSD is modular and flexible. Components which provide the same functionality can be freely swapped. You can easily run the same algorithm on different data sets, or test several different algorithms on the same data set.