Download JAR files tagged by text with all dependencies

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

ADIF Processor visualizes contacts in your input file on Google Earth. It generates a Google Earth Project file, also known as a KML file, with a visualization of each contact in the ADIF/SOTA CSV input file where station locations can be determined. It parses structured tags in comments to enrich the correct ADIF output file. QRZ.com is used to determine station locations and provide additional information in the ADIF output file. The markdown/text file output contains a listing of contacts. The processor contains activity databases for the main outdoor activities such as SOTA, POTA, GMA, HEMA etc.

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language, Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language, Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.

The Config project is home to Sakai configuration and localization files. Config includes several versions of sakai.properties, a text file containing a series of key/value pairs that provide a convenient mechanism for defining a variety of configuration options for Sakai tools, services, supporting database and UI-related text such as copyright statement, institutional name, server name, etc. Settings in sakai.properties are read on startup; thus changes to sakai.properties only take effect after you restart Sakai's servlet container (typically Apache Tomcat).

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast operations; it provides also big (64-bit) arrays, sets, and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. This jar (fastutil-core.jar) contains data structures based on integers, longs, doubles, and objects, only; fastutil.jar contains all classes. If you have both jars in your dependencies, this jar should be excluded.

The app library component of SDL is meant to run on the end user’s smart-device from within SDL enabled apps, as an embedded app, or connected to the cloud. App libraries allow the apps to connect to SDL enabled head-units and hardware through bluetooth, USB, and TCP for Android, and cloud and embedded apps can connect through web sockets, Java Beans, and other custom transports. Once the library establishes a connection between the smart device and head-unit through the preferred method of transport, the two components are able to communicate using the SDL defined protocol. The app integrating this library project is then able to expose its functionality to the head-unit through text, media, and other interactive elements.

The app library component of SDL is meant to run on the end user’s smart-device from within SDL enabled apps, as an embedded app, or connected to the cloud. App libraries allow the apps to connect to SDL enabled head-units and hardware through bluetooth, USB, and TCP for Android, and cloud and embedded apps can connect through web sockets, Java Beans, and other custom transports. Once the library establishes a connection between the smart device and head-unit through the preferred method of transport, the two components are able to communicate using the SDL defined protocol. The app integrating this library project is then able to expose its functionality to the head-unit through text, media, and other interactive elements.

The app library component of SDL is meant to run on the end user’s smart-device from within SDL enabled apps, as an embedded app, or connected to the cloud. App libraries allow the apps to connect to SDL enabled head-units and hardware through bluetooth, USB, and TCP for Android, and cloud and embedded apps can connect through web sockets, Java Beans, and other custom transports. Once the library establishes a connection between the smart device and head-unit through the preferred method of transport, the two components are able to communicate using the SDL defined protocol. The app integrating this library project is then able to expose its functionality to the head-unit through text, media, and other interactive elements.