Programming Languages Comparison

An interactive guide to popular programming languages

Introduction

This interactive guide helps you explore and compare different programming languages. Use the table below to discover various aspects of each language, from typing systems to popular use cases.

Language First Released Typing Paradigm Popularity Rank Learning Curve Memory Management Primary Use Case Average Salary
Python 1991 Dynamic Multi-paradigm 1 Easy Garbage Collection Web, Data Science $120,000
JavaScript 1995 Dynamic Multi-paradigm 2 Easy Garbage Collection Web Development $112,000
Java 1995 Static Object-Oriented 3 Moderate Garbage Collection Enterprise, Android $105,000
C++ 1985 Static Multi-paradigm 4 Hard Manual Systems, Games $108,000
Ruby 1995 Dynamic Object-Oriented 11 Easy Garbage Collection Web Development $95,000
Go 2009 Static Concurrent 8 Moderate Garbage Collection Cloud, Systems $115,000
Huff 2022 Static Low-level 42 Very Hard Manual EVM Smart Contracts $200,000
Solidity 2014 Static Object-Oriented 20 Moderate Managed Smart Contracts $150,000
Comparison of Popular Programming Languages

Click on a language name to see detailed information...

Glossary of Terms

Typing
Refers to how strictly types are enforced in the language. Dynamic typing means types are checked at runtime, while static typing checks types at compile time.
Paradigm
The fundamental style of programming that the language primarily supports, such as object-oriented, functional, or procedural programming.
Memory Management
How the language handles allocation and deallocation of memory. Garbage collection automatically manages memory, while manual management requires explicit control.

How to Use This Guide

Click this paragraph to see how to compare languages for web development. Python and JavaScript are popular choices for web development.

Click here to explore languages best suited for beginners. Python and Ruby are known for their gentle learning curves.