The Programming Languages Data API is designed to facilitate the comparison of programming languages by providing structured data on their features, syntax, and operational characteristics. This API handles a variety of data fields, including general comparisons, assignment types, basic syntax, control flow mechanisms (such as loops and exception handling), and data structures like arrays and associative arrays. The API adheres to common data standards in programming language documentation, ensuring that the information is relevant and up-to-date. Technical requirements include knowledge of programming concepts and familiarity with JSON data formats, as the API outputs data in a structured JSON schema. The output format includes detailed comparisons and benchmarks that allow users to analyze and evaluate different programming languages effectively.
[
{
"names": [
"1C:Enterprise programming language",
"ActionScript",
"Ada",
"Aldor",
"ALGOL 58",
"ALGOL 60",
"ALGOL 68",
"Ateji PX",
"APL",
"Assembly language",
"AutoHotkey",
"AutoIt",
"Ballerina",
"Bash",
"BASIC",
"BeanShell",
"BLISS",
"BlitzMax",
"Boo",
"C",
"C++",
"C#",
"Clarion",
"Clean",
"Clojure",
"CLU",
"COBOL",
"Cobra",
"ColdFusion (CFML)",
"Common Lisp",
"COMAL 80",
"Crystal",
"Curry",
"Cython",
"D",
"Dart",
"Delphi, Object Pascal",
"Dylan",
"Eiffel",
"ELAN",
"Elixir",
"Erlang",
"Euphoria",
"Factor",
"FP",
"F#",
"Forth",
"Fortran",
"FreeBASIC",
"Gambas",
"Game Maker Language",
"GLBasic",
"Go",
"Gosu",
"GraphTalk",
"Groovy",
"Harbour",
"Haskell",
"Haxe",
"HyperTalk",
"Io",
"IPL",
"ISLISP",
"J",
"JADE",
"Java",
"JavaScript",
"Joy",
"jq",
"Julia",
"K",
"Kotlin",
"Ksh",
"LabVIEW (G)",
"Lisp",
"LiveCode",
"Logtalk",
"Linden Scripting Language (LSL)",
"Lua",
"Maple",
"Mathematica",
"MATLAB",
"Modula-2",
"Modula-3",
"MUMPS (M)",
"Nim",
"Oberon",
"Object Pascal",
"Objective-C",
"OCaml",
"Occam",
"Opa",
"OpenLisp",
"Oxygene",
"Oz-Mozart",
"Pascal",
"Perl",
"PHP",
"PL/I",
"Plus",
"PostScript",
"PowerShell",
"Prolog",
"PureBasic",
"Python",
"R",
"Racket",
"Raku",
"REALbasic",
"Rebol",
"REXX",
"RPG",
"Ring",
"Ruby",
"Rust",
"S",
"S-Lang",
"Scala",
"Scheme",
"Seed7",
"Simula",
"Small Basic",
"Smalltalk",
"SNOBOL",
"Standard ML",
"Swift",
"Tcl",
"V (Vlang)",
"Visual Basic",
"Visual Basic .NET",
"Visual FoxPro",
"Visual Prolog",
"Wolfram Language",
"XL",
"Xojo",
"XPath/XQuery",
"Zeek",
"Zig",
"Zsh"
]
}
]
curl --location --request POST 'https://zylalabs.com/api/8563/programming+languages+data+api/15010/get+list+of+programming+languages' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[
{
"Language": "JavaScript",
"Original purpose": "Client-side, server-side, web",
"Imperative": "Yes",
"Object-oriented": "Yes",
"Functional": "Yes",
"Procedural": "Yes",
"Generic": "No",
"Reflective": "Yes",
"Other paradigms": "prototype-based",
"Standardized": "Yes"
}
]
curl --location --request POST 'https://zylalabs.com/api/8563/programming+languages+data+api/15011/get+programming+languages+data+by+name' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Programming Languages Data API provides structured data on various attributes of programming languages, including general comparisons, assignment types, basic syntax, control flow mechanisms (like loops and exception handling), and data structures such as arrays and associative arrays.
The API outputs data in a structured JSON format, adhering to common data standards in programming language documentation, which allows for easy integration and manipulation of the data.
Developers can use the API to compare programming languages for educational purposes, to choose the right language for a specific project, or to analyze language features for performance benchmarking and optimization.
The output includes detailed comparisons of programming languages, covering fields such as syntax examples, control flow structures, data types, and operational characteristics, enabling users to evaluate languages comprehensively.
You can integrate the API by making HTTP requests to its endpoints to retrieve language data, which can then be processed and displayed in your application, facilitating language comparisons and feature analysis.
This endpoint returns a comprehensive list of programming languages available in the API. The data includes the names of various programming languages, allowing users to explore and select languages for further comparison.
The response for a specific programming language includes fields such as "Language," "Original purpose," and various programming paradigms like "Imperative," "Object-oriented," and "Functional," providing a detailed overview of the language's characteristics.
The response data is structured as a JSON object, where each key corresponds to a specific attribute of the programming language, making it easy to access and interpret the information for analysis or display.
Users can customize their requests by providing the name of the programming language as a parameter. This allows for targeted retrieval of detailed data specific to that language.
This endpoint provides detailed information on various attributes of a programming language, including its purpose, supported paradigms, and whether it is standardized, enabling users to make informed comparisons.
Users can analyze the structured JSON data to compare programming languages based on their features, operational characteristics, and paradigms, facilitating informed decisions for project selection or educational purposes.
The API adheres to common data standards in programming language documentation, ensuring that the information is relevant and up-to-date, which helps maintain the accuracy and reliability of the data provided.
Typical use cases include educational comparisons of programming languages, selecting the appropriate language for specific projects, and analyzing language features for performance benchmarking and optimization.
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