Open Source JSON Software - Page 13
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CFG.G.W.I. - Config GUI Window
Provides message-box' like functionality for scripts
Provides message-box' like functionality for shell scripts and outputs user input via defined GUI controls. A Program that can display custom controls, configured from simple format text files. Takes one config file on input and creates another as output. Namelly, input is JSON format text file and output is INI. In addition, there is a way to setup default values for GUI items being created. Author homepage: http://ikk.byethost9.com/ -
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The project is an equivalent of a well known systems administration tool "cfengine". The aim of the project is to provide a safer and extensible framework for distributed system configuration management, using standard tools only.
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CUAHSI WaterObjectFlow provide JSON web service for hydrology observation data,sponsored by National Science Foundation of United States,developed by Joe hu, MapWindow software lab,Idaho State University
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ChirpStack Gateway Bridge
ChirpStack Gateway Bridge abstracts Packet Forwarder protocols
ChirpStack Gateway Bridge is a service that converts LoRa® Packet Forwarder protocols into a ChirpStack common data format (JSON and Protobuf). This component is part of the ChirpStack open-source LoRaWAN® Network Server project. -
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Chronicle Wire
Low Garbage Java Serialisation Library that supports multiple formats
Chronicle Wire is a Wire Format abstraction library. Chronicle Wire uses Chronicle Bytes for bytes manipulation, and Chronicle Core for low-level JVM access. Configuration includes aliased type information. This supports easy extension by adding new classes/versions, and cross-platform using type aliasing. By supporting types, a configuration file can bootstrap itself. You control how the configuration file is decoded. See example Queue Enterprise config. To send the configuration of a server to a client, or from a client to a server. Chronicle Wire supports a separation of describing what data you want to store and retrieve, and how it should be rendered/parsed. Chronicle Wire handles a variety of formatting options, for a wide range of formats. -
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Cities of the World
Cities of the world in Json, based on GeoNames Gazetteer
Cities of the world in Json, based on GeoNames Gazetteer. -
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Coost
A tiny boost library in C++11
coost is an elegant and efficient cross-platform C++ base library. Its goal is to create a sword of C++ to make C++ programming easy and enjoyable. Coost, co for short, is like boost, but more lightweight, the static library built on Linux or Mac is only about 1MB in size. log supports two types of logs: one is level log, which is divided into 5 levels: debug, info, warning, error, and fatal, printing a fatal log will terminate the program; the other is topic log, logs are grouped by topic and logs of different topics are written to different files. -
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Covirem
A domotic system for large buildings
Covirem is a modified and bleeding-edge version of Freedomotic (www.freedomotic.com), that aims at providing a domotic solution for remote and hierarchical management of buildings, situated even far from eachother. -
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CrimeWatching is a webbased interactive graphical map combined with quantitative data from the police to analyze and communicate the relationship between crimes and the places they happened.
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Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. Cutelyst has a WSGI server that supports HTTP/1.1, HTTP/2, FastCGI, and WebSockets, it can even be embedded in your application if you like. It also features a plugin for uWSGI which gives us support for HTTP/1.0, FastCGI, and uWSGI protocols but is slower and doesn't support WebSockets. Running standalone or behind a web server is really easy. With your application logic written in C++ your application get's really small, a full CMS (like this one) uses around 5MB of RAM which can be shared with other instances of the same application. -
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CyberOPC Sample Client(Windows Forms) included with a CyberOPC Client Library. Based on the CyberOPC Specification (www.cyberopc.org)
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DSL-JSON library
High performance JVM JSON library
Fastest JVM (Java/Android/Scala/Kotlin) JSON library with advanced compile-time data binding support. Java JSON library designed for performance. Originally built for invasive software composition with DSL Platform compiler. v1 core library was targeting Java6, while v2 targets Java8. So there is no need anymore for dsl-json-java8 project and instead, just dsl-json project should be referenced. From v2 only a single annotation processor is supported, which was previously in the java8 project. Joda and some other specific libraries were removed. If you still need converters for those types, you need to include them in your project. -
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Directory Structure To Json
Folder Structure >>> JSON File
Just select any folder from your computer and save equivalent JSON file. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
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Document Object Model Structured Query Language! Example: 'SELECT {//title[1]=>innerCode} FROM {http://example.com}';
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DovetailDB is a schemaless, JSON-based database. It is similar in spirit to Amazon's SimpleDB, but allows for javascript to be executed on the server, and, within that context, provides full transaction support.
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DroidParts
Carefully crafted Android framework
DroidParts is a carefully crafted Android framework. RESTClient for GETting, PUTting, POSTing, DELETing & InputStream-getting, also speaks JSON. ImageFetcher to asynchronously attach images to ImageViews, with caching, cross-fade & transformation support. -
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With the EpisodeGrabber you can keep track of your favorite TV-Show. It is parsing and collecting informations from all TV-Shows on epguides.com even with Cast Pictures. Make a Watchlist and download directly from isohunt.com
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Extended Memory Semantics (EMS)
Persistent shared object memory and parallelism for Node.js and Python
EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using distributed programming. -
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FArP is JavaScript function arguments processor. It provides an easy way to parse function input arguments against expected types and values. Thanks to it developers can avoid chains of if conditions at the beginnings of their functions.
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Fast JSON
Fast JSON parser and validator for Go
Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. Its design prioritizes minimal overhead and maximum throughput, making it suitable for performance-critical applications such as APIs, data pipelines, and real-time systems. fastjson also supports both parsing and serialization, offering flexibility in data handling. Overall, it is a specialized tool for developers who need fine-grained control over JSON processing performance. -
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FeatureFlags
Allows developers to configure feature flags
FeatureFlags makes it easy to configure feature flags, A/B and MVT tests via a JSON file which may be bundled with your app or hosted remotely. For remotely-hosted configuration files, you may enable/disable features without another release to the App Store, update the percentages of users in A/B test groups or even roll out a feature previously under A/B test to 100% of your users once you have decided that the feature is ready for prime time.