1. How to use JData?

The simplest way to use JData in your project is to "drop-in" one of our light-weight JData-compatible libraries, according to your programming language, and use the provided saving/loading interfaces to export and load your data. The currently developed JData-optimized libraries include

• MATLAB: JSONLab
• Python: pyjdata
• JavaScript: jsdata

As you can see, these toolboxes are super light-weight, with minimum dependencies. Therefore, you can add them to your project without much burden and complexity. All our above libraries are open-source with compact source code available if you are interested in understanding the JData format handling.

What if your programming language has not yet have a JData-compatible library? you can still read/write JData files easily by incorporating one of the hundreds freely available JSON free parsers or one of nearly 50 UBJSON free parsers. As we mentioned, JData extends JSON/UBJSON in the semantics layer and is syntactically 100% compatible with JSON (and nearly 100% compatible with UBJSON).

If your software already supports reading/writing JSON files, you are already able to load JData files without any additional work. The only work that our above JData-compatible libraries does is an additional step of recognizing JData-defined keywords and reassemble them to the native language data structures (i.e. JData-decoding), or split a complex native data into JSON serializable constructs (i.e. JData-encoding) when saving the data structures. If your language do not have our JData encoder/decoder, your code can still fully access the JData represented data using the JSON interfaces.