JSON vs. Python vs. Requestly vs. Sparrow 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.

Requestly API Client offers a range of tools to help you design, manage, and test APIs effectively. With distinct combination of features Requestly acts as a companion to developers and QAs. 1. Design APIs: Requestly simplifies API Design by allowing you to create individual API requests, specify HTTP methods, headers, query parameters, and request bodies. 2. Send API Requests: Sending API Requests is at the core of API testing. Responses can be viewed in detail, including status codes, headers, and payloads. 3. API Collections: Collections allow you to group related API requests for better organization and collaboration. 4. Variables: Requestly simplify API testing and management by allowing you to replace hardcoded values with placeholders - Collection, Environment, and Global Variables. 5. Scripts (Pre & Post): Scripts allow you to add logic or modify requests before they are sent, or process responses and manipulate variables that can be used in subsequent API call.