Fast JSON Parser for Matlab

If you want to be fast, you could use the Java JSON parser. And before this answer gets out of hand, I am going to post the stuff I put down so far:

clc

% input example
jsonStr = '{"bool1": true, "string1": "some text", "double1": 5, "array1": [1,2,3], "nested": {"val1": 1, "val2": "one"}}'

% use java..
javaaddpath('json.jar');
jsonObj = org.json.JSONObject(jsonStr);

% check out the available methods
jsonObj.methods % see also http://www.json.org/javadoc/org/json/JSONObject.html

% get some stuff
b = jsonObj.getBoolean('bool1')
s = jsonObj.getString('string1')
d = jsonObj.getDouble('double1')
i = jsonObj.getJSONObject('nested').getInt('val1')

% put some stuff
jsonObj = jsonObj.put('sum', 1+1);


% getting an array or matrix is not so easy (you get a JSONArray)
e = jsonObj.get('array1');

% what are the methods to access that JSONArray?
e.methods

for idx = 1:e.length()
    e.get(idx-1)
end

% but putting arrays or matrices works fine
jsonObj = jsonObj.put('matrix1', ones(5));

% you can get these also easily ..
m1 = jsonObj.get('matrix1')
% .. as long as you dont convert the obj back to a string
jsonObj = org.json.JSONObject(jsonObj.toString());
m2 = jsonObj.get('matrix1')