Download JAR files tagged by interfaces with all dependencies

API for stackable stateful encoders and decoders. Such codec interfaces allow for the efficient processing of data as it is made available while maintaining small actively processing footprints. Of course these aspects depend on the implementation as well however this API standardizes the minimum set of interfaces associated with codec's that are stateful. Until this API is added to the commons-codec project several interfaces and classes here are duplicated to minimize the number of dependencies: namely a dependency on commons-codec will be avoided.

This Lutra submodule provides a common framework that other submodules in Lutra use and extend. It includes an implementation of OTTR's data model with classes for templates, instances, types, etc.; a system for handling results and error messages; core interfaces and abstract classes for streamed pipelines for parsing and writing templates and instances; as well as implementation of the TemplateStore, a container for templates, with algorithms for checking correctness of templates and expanding and checking correctness of instances. Lutra is the reference implementation of the OTTR framework. For more information about OTTR, see http://ottr.xyz.

This is a Java library which provides a flexible and customizable way to bind command line arguments to Java objects, in a similar manner to how JSON, XML, and YAML can be bound to Java objects. You can easily define Java classes that represent the data structure of your command line arguments, and use annotations to specify how those arguments should be parsed and bound to the corresponding fields in your Java object. This allows you to write command line interfaces that are more intuitive and easier to use, while also reducing the amount of boilerplate code that is needed to parse and validate command line arguments.

Simple Validation Parent Project: This is a simple library for quickly adding validation code to Swing user-interfaces. It handles validating user input when the user changes a component's value, showing error messages and decorating components to indicate which component is the source of the problem. It contains a large number of built-in validators to handle most common situations, such as validating numbers, email addresses, urls and so forth.

The main module contains the GeoTools public interfaces that are used by other GeoTools modules (and GeoTools applications). Where possible we make use industry standard terms as provided by OGC and ISO standards. The formal GeoTools public api consists of gt-metadata, jts and the gt-main module. The main module contains the default implementations that are available provided to other GeoTools modules using our factory system. Factories are obtained from an appropriate FactoryFinder, giving applications a chance configure the factory used using the Factory Hints facilities. FilterFactory ff = CommonFactoryFinder.getFilterFactory(); Expression expr = ff.add( expression1, expression2 ); If you find yourself using implementation specific classes chances are you doing it wrong: Expression expr = new AddImpl( expression1, expressiom2 );

A JNA based library providing access to some low-level Linux subsystems, including :- * UInput. Create virtual devices such as keyboards, mice and touchpads and emit events from them as if they were real. * Evdev. Read events from various devices such as keyboards, mice, touchpads, and all other devices exposed by Linux. * Frame Buffer. Write directly to the Linux framebuffer. Allows graphical user interfaces without X being present. As from version 2.0, this library is now in uk.co.bithatch namespace. Version 2.1 and above support Java 8, and module Java 9 and above.

The Data Highway is a service that allows data to be easily landed and consumed via REST interfaces which accept and produce JSON messages. The data is first defined using a schema and a "road" is created which will accept data messages that conform to this schema. Producers of data sets thus only need to define the structure of their data and are then able to send their data to a REST endpoint and not be too concerned with what happens next. The Data Highway will ensure that this data is made available for downstream streaming consumption and also stored reliably in a "data lake" in the cloud for access by various end users.

Provides a time series forecasting environment for Weka. Includes a wrapper for Weka regression schemes that automates the process of creating lagged variables and date-derived periodic variables and provides the ability to do closed-loop forecasting. New evaluation routines are provided by a special evaluation module and graphing of predictions/forecasts are provided via the JFreeChart library. Includes both command-line and GUI user interfaces. Sample time series data can be found in ${WEKA_HOME}/packages/timeseriesForecasting/sample-data.