Download JAR files tagged by provided with all dependencies

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 );

Samply.Common.MDRFaces is a Java Server Faces library which eases the user interface design of web applications where the respective data model relies on well defined data elements. Especially in case of systems for electronic data capturing, where the necessary data model is not known beforehand and can even vary over time, the user interface has to be easily adjustable. This often means the user instead of the developer designs the various forms for data entry and therefore an easy to use mechanism has to be provided. By using Samply.MDRFaces the developer can focus on the implementation of that mechanism, e.g. some editor component, but does not have to cope with the visualization of every single data element as for that is taken care of automatically.

This API determines the holidays for a given year, country/name and eventually state/region. The holiday data is stored in XML files (one for each country) and will be read from the classpath. You can provide your own holiday calendar XML file or use any of the provided ones. Currently there are 63 countries supported like the following: United States, most european countries, Russia, India, Australia. Besides those there will be more special calendars like currently existing NYSE calendar (New York Stock Exchange).

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.

The MAJ API was written by Richard Cartwright, with the help and support of Guillaume Belrose and Fang Ren. To contact the author, please raise an issue. The software is provided AS IS with no warranty whatsoever. The MAJ API (pronounced madge) is a pure Java API for creating, reading, manipulating and writing MXF (SMPTE ST 377), AAF structured storage and Reg-XML (SMPTE ST 2001) files. MXF files are commonly used as a container for professional media file formats and AAF is supported by a number of professional video editing packages. MXF and Reg-XML are used as part of the Interoperable Mastering Format suite of specifications.

AIPARK offers detailed parking information for more than 1.8 Mio parking areas in Germany with nationwide coverage. Additionally, accurate occupancy predictions are derived using data from a network of more than 5 million smartphones. Use the AIPARK API Explorer application to try out and test the interface. Please send a request via email if you are a developer and require an API key. We'll be in touch with you shortly. This application is provided via a demo backend environment. Please note that API load tests do not reflect the performance of the productive system. Mail: [email protected]

AIPARK offers detailed parking information for more than 1.8 Mio parking areas in Germany with nationwide coverage. Additionally, accurate occupancy predictions are derived using data from a network of more than 5 million smartphones. Use the AIPARK API Explorer application to try out and test the interface. Please send a request via email if you are a developer and require an API key. We'll be in touch with you shortly. This application is provided via a demo backend environment. Please note that API load tests do not reflect the performance of the productive system. Mail: [email protected]

This module provides algorithms to compare sets, that is, order-invariant lists. These algorithms are implementations of the AlignmentAlgorithm interface defined in the algorithms module. In particular, this module contains the StrictSetAlignmentScoreAlgorithm for computing the cost of the optimal unordered alignment of two sets, the StrictSetAlignmentFullAlgorithm which provides the Alignment itself as well, and the GreedySetAlignmentScoreAlgorithm as well as the GreedySetAlignmentFullAlgorithm for computing a potentially sub-optimal but faster alignment of two sets. The optimal alignments rely on the HungarianAlgorithm for solving the assignment problem in bipartite graphs. Here, we rely on the implementation provided by Kevin L. Stern which is provided within this distribution.

Adds deployment support for akka-http applications in kubernetes. The facilities are: 1) promotheus statistics export and collection for akka http routes. The library collects http result codes, timings, and requests in flight. It additionally optionally exposes some basic akka statistics. 2) Graceful shutdown, health and readiness functions. These routes are provided at a low level to they can be used by both the routing DSL and special case implementations. 3) Access log collection. These functions can be freely composed to (e.g.) exclude health check routes from statistics and access log, or include them, depending on the requirements and standards of the user