Download JAR files tagged by json with all dependencies

Set of various Utils: stacktrace noise filter, String to/from unicode sequence converter, simple Http client JSON parser/serializer, Silent String parsing to Integer and other numeric types, Parsing String to time intervals with support for time unit suffixes, JSON parser that provides serialization/deserialization of classes to JSON, Version comparator and Version ranges operations, Self-throttling binary reader from Http request, File reader, A utility that automatically initiates a Factory with instances of all classes that implement user provided interface. An infrastructure for writing Scheduled Task classes where time interval for task execution is provided in humanly readable format (such as "9h" for 9 hours)

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.

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.

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 Zello Channels SDK allows you to integrate Zello push-to-talk into your own application. The SDK communicates with a Zello server over a web socket connection using a JSON-based protocol, and offers a simple API to send and receive audio, images, and text over Zello channels. Supported features include: Send voice messages from the device microphone Play incoming voice messages through the device speaker Send voice messages from your own audio code, e.g. from a file Receive voice message data with your own audio code with optional pass-through to the device speaker Send and recieve text messages Send and receive images Send the device's current location, and receive location messages from other users The protocol specification is also available if you prefer to develop your own client in-house.

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.

@Sumatera Model converter from ORM class to regular pojo class, the ORM term is a modelling class that doesn't like regular pojo, such like @Entity from JPA/Hibernate and so on. It can be used for mapping regular object, post data in request body where you cannot put ORM class directly in a parameter, or you cannot convert to json directly, or any other problem regarding it. You don't need anymore to create duplicate Dto / Pojo class which represent ORM class, just write your ORM class and annotate it with @Sumatera, then the regular pojo class would be generated for you.

Babylon is a tool to gather messages, and their translations from property files. It performs a round-trip consisting of two phases: export phase and import phase. In the export phase the messages are written to a Google Sheets spreadsheet. A translator will then fill in the missing translations. In the import phase, the spreadsheet (with the missing translations filled out by a translator) is examined, and the newly translated messages are used to update the respective translation property files. Also, the state of the translation, snapshot, is written out to a disk in the form of JSON file. Babylon can be run as a Maven plugin or as a standalone console application.

JSON is a light-weight, language independent, data interchange format. See http://www.JSON.org/ The files in this package implement JSON encoders/decoders in Java. It also includes the capability to convert between JSON and XML, HTTP headers, Cookies, and CDL. This is a reference implementation. There is a large number of JSON packages in Java. Perhaps someday the Java community will standardize on one. Until then, choose carefully. The license includes this restriction: "The software shall be used for good, not evil." If your conscience cannot live with that, then choose a different package.

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.