85 projects tagged "Apache 2.0"
Vaadin is a Web application framework for Rich Internet Applications (RIA). In contrast to Javascript libraries and browser-plugin based solutions it features a server-side architecture, which means that the majority of the logic runs on the servers. AJAX technology is used on the browser side to ensure a rich and interactive user experience. Vaadin is a big collection of UI components. There are server-side components like Button, Table, and Tree that you use to compose the application user interface. The components use events, listeners, and data binding to communicate with each other and the business logic. Vaadin is a robust architecture for rapid application development. The component-based architecture together with the data binding features help you to build applications that are easily modularized and refactored as needed.
Citrus is a test framework written in Java that enables automated integration testing of message-based enterprise SOA applications. The tool can easily simulate surrounding systems across various transports and protocols (e.g. JMS, SOAP WebServices, HTTP, TCP/IP, etc.) in order to perform end-to-end use case testing. Citrus provides strong validation mechanisms for XML message contents and allows you to build complex testing logic such as sending and receiving messages, database validation, automatic retries, variable definitions, dynamic message contents, error simulation, and many more.
ContiPerf is a lightweight testing utility to easily leverage JUnit 4 test cases as performance tests, e.g. for continuous performance testing. It is inspired by JUnit 4's easy test configuration with annotations, and by JUnitPerf's idea of wrapping Unit tests for performance testing, but is more powerful and easier to use. It uses Java annotations for defining test execution characteristics and performance requirements. You can mark a test to run a certain number of times, or to be repeatedly executed for a certain amount of time. Performance requirements can be maximum, average, medium, or any percentile execution time. You can run tests in two different modes, using them as simple unit tests or performance tests. Easy integration with Eclipse and Maven. Export of an execution summary to a CSV file. A small library without external dependencies (only JUnit).
Apache OpenNLP is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services.
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