JSON vs. Scheme vs. ZenScript vs. python-sql Comparison Chart

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 is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

ZenScript originated from MineTweaker where a simple programming language is needed to allow users without programming knowledge to be able to execute simple commands by following the tutorials for it. Originally MineTweaker had a simple one-line-at-a-time parsed scripting system, but it quickly became clear that it wasn't flexible enough, so a simple parsed language was created. This parsed language worked quite well but was very inefficient as each value was wrapped into its own object. ZenScript allows mixed typed and typeless behavior. You don't need to define types anywhere, the compile will infer them where possible and exhibit typeless behavior when the type is effectively unknown. In nearly all the cases, the type is perfectly known and execution runs at native Java speed. Since there are types, they can be documented and enforced.