This is the Linux app named RapidJSON whose latest release can be downloaded as v1.1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named RapidJSON with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
RapidJSON is a JSON parser and generator for C++. It was inspired by RapidXml. RapidJSON is small but complete. It supports both SAX and DOM style API. The SAX parser is only a half thousand lines of code. RapidJSON is fast. Its performance can be comparable to strlen(). It also optionally supports SSE2/SSE4.2 for acceleration. RapidJSON is self-contained and header-only. It does not depend on external libraries such as BOOST. It even does not depend on STL. RapidJSON is memory-friendly. Each JSON value occupies exactly 16 bytes for most 32/64-bit machines (excluding text string). By default it uses a fast memory allocator, and the parser allocates memory compactly during parsing. RapidJSON is Unicode-friendly. It supports UTF-8, UTF-16, UTF-32 (LE & BE), and their detection, validation and transcoding internally. For example, you can read a UTF-8 file and let RapidJSON transcode the JSON strings into UTF-16 in the DOM. It also supports surrogates and "\u0000" (null character).
- Cross-platform, Visual Studio, gcc, clang, etc. Architectures, x86, x64, ARM, etc. Windows, Mac OS X, Linux, iOS, Android, etc.
- Easy installation, header files only library, just copy the headers to your project
- Self-contained, minimal dependences, no STL, BOOST, etc.
- Without C++ exception, RTTI
- Use template and inline functions to reduce function call overheads
- Internal optimized Grisu2 and floating point parsing implementations
This is an application that can also be fetched from https://sourceforge.net/projects/rapidjson.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.