JSON vs. Python vs. ReGraph vs. SAS Federation Server 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.

Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine.