Download JAR files tagged by input with all dependencies

mime-util is a simple to use, small, light weight and fast open source java utility library that can detect MIME types from files, input streams, URL's and byte arrays. Due to the use of regular expressions and the java.nio packages it requires at least Java 1.4.

MD4J is a passive, model driven, extensible J2EE webapp generator. Currently Hibernate 3 mappings are supported as input, with EJB 2.1, Struts 1.x and JSP 2.0 as output for CRUD and Search operations with patterns like MVC, DAO and SessionFacade. Ant task included.

Dokka is the API documentation engine for Kotlin. This plugin generates output that looks like Javadoc websites. See https://kotlinlang.org/docs/dokka-javadoc.html for more information. The Javadoc output format is still in Alpha, so you may find bugs and experience migration issues when using it. Successful integration with tools that accept Java's Javadoc HTML as input is not guaranteed. You use it at your own risk.

The Metadata Injector for PDS Labels (MILabel) provides a command-line interface for generating PDS4 Labels using a user provided PDS4 XML template and input (source) data products. The PDS4 XML Templates use Apache Velocity variables and logic to generate the PDS4 labels. For inputs, the tool currently supports detached and attached ODL/PDS3 labels with plans to support VICAR attached labels and CSV files.

VGS Collect - is a product suite that allows customers to collect information securely without possession of it. VGS Collect Android SDK allows you to securely collect data from your users via forms without having to have that data pass through your systems. The form fields behave like traditional input fields while securing access to the unsecured data.

AuthzForce PDP extensions for JSON value processing, in particular JSONPath evaluation; it provides the XACML datatype 'urn:ow2:authzforce:feature:pdp:datatype:json' for JSON object/array values, and XACML functions that evaluate a JSON path (second parameter of standard string datatype) against an input JSON object/array (first parameter of datatype 'urn:ow2:authzforce:feature:pdp:datatype:json') and return the result of this evaluation. The return datatype depends on the actual function used: 'urn:ow2:authzforce:feature:pdp:function:string-from-json-path' returns a bag of strings, 'urn:ow2:authzforce:feature:pdp:function:integer-from-json-path' returns a bag of integers, 'urn:ow2:authzforce:feature:pdp:function:double-from-json-path' returns a bag of doubles, 'urn:ow2:authzforce:feature:pdp:function:boolean-from-json-path' returns a bag of booleans.

The PDS4 LDDTool uses the Maven plugin "model-dmdocument" as an executible jar to process an input XML file. The input XML document is parsed and the contents are validated against the master database. The validated contents are integrated into the master database. The XML Schema and Schematron files are written. The process report and spreadsheet are written. Sandbox version: for experimental use only.

Library developed in Kotlin and Java that makes use of MLKit for image analysis in real time. The input is a frame obtained from a camera or video source and the otuput is a state that indicates the probability of drowsiness of a user over the minutes. The library analyzes the eyes, mouth and head drop to get a more accurate result of each frame.

Leveraging the JCoRe XML Reader, this project employs a Medline-enabled mapping file to map Medline XML documents to CAS instances. The input is a directory of single XML files, each containing exactly one XML MedlineCitation. The XML format is the one used by NCBI when downloading Medline documents in large batches from the NCBI FTP server. However, the component currently expects single documents instead of whole MedlineCitationSets containing sets of MedlineCitations.

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.