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  5. JSON vs Julia

JSON vs Julia

OverviewDecisionsComparisonAlternatives

Overview

JSON
JSON
Stacks2.0K
Followers1.6K
Votes9
Julia
Julia
Stacks666
Followers677
Votes171
GitHub Stars47.9K
Forks5.7K

JSON vs Julia: What are the differences?

What is JSON? A lightweight data-interchange format. 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.

What is Julia? A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

JSON and Julia can be primarily classified as "Languages" tools.

Julia is an open source tool with 22.8K GitHub stars and 3.43K GitHub forks. Here's a link to Julia's open source repository on GitHub.

According to the StackShare community, JSON has a broader approval, being mentioned in 20 company stacks & 104 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

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Advice on JSON, Julia

Dhinesh
Dhinesh

architect

Jun 16, 2020

Needs adviceonJSONJSONPythonPython

Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

350k views350k
Comments

Detailed Comparison

JSON
JSON
Julia
Julia

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.

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

Statistics
GitHub Stars
-
GitHub Stars
47.9K
GitHub Forks
-
GitHub Forks
5.7K
Stacks
2.0K
Stacks
666
Followers
1.6K
Followers
677
Votes
9
Votes
171
Pros & Cons
Pros
  • 5
    Simple
  • 4
    Widely supported
Pros
  • 25
    Fast Performance and Easy Experimentation
  • 22
    Designed for parallelism and distributed computation
  • 19
    Free and Open Source
  • 17
    Calling C functions directly
  • 17
    Dynamic Type System
Cons
  • 5
    Immature library management system
  • 4
    Slow program start
  • 3
    JIT compiler is very slow
  • 3
    Poor backwards compatibility
  • 2
    No static compilation
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
MySQL
MySQL
JavaScript
JavaScript
JSON Server
JSON Server
JSONlite
JSONlite
GitHub
GitHub
Azure Web App for Containers
Azure Web App for Containers
GitLab
GitLab
Slack
Slack
C++
C++
Rust
Rust
C lang
C lang
Stack Overflow
Stack Overflow
vscode.dev
vscode.dev
Python
Python

What are some alternatives to JSON, Julia?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Meteor

Meteor

A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

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