Download JAR files tagged by programmatically with all dependencies

DynamicJasper (DJ) is an API that hides the complexity of Jasper Reports, it helps developers to save time when designing simple/medium complexity reports generating the layout of the report elements automatically. It creates reports dynamically, defining at runtime the columns, column width (auto width), groups, variables, fonts, charts, crosstabs, sub reports (that can also be dynamic), page size and everything else that you can define at design time. DJ keeps full compatibility with Jasper Reports since it's a tool that helps create reports programmatically in a easy way (it only interferes with the creation of the report design doing the layout of the elements). You can use the classic .jrxml files as templates while the content and layout of the report elements are handled by the DJ API. http://dynamicjasper.com

Programmatically generate, load, modify, and convert Excel .xlsx spreadsheets in your Java applications. GrapeCity Documents for Excel (GcExcel) is a cross-platform high-speed, small-footprint spreadsheet API library that requires no dependencies on Excel. The powerful calculation engine supports 450+ Excel Functions and custom functions to perform complex calculations. GcExcel is 2x+ faster and uses less memory than Apache POI and allows you to save to XLSX, PDF, HTML, CSV, JSON and Images. Deploy your applications to the cloud, Windows, Mac, or Linux. If you'd like to remove the trial watermark and other trial limitations, please email [email protected] to request your 30-day evaluation key.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.