⚡ Interpreted Programming Languages

Interpreted programming languages are programming languages whose source code is executed by an interpreter, translating program instructions at runtime as the program runs.

They typically offer faster development, interactive execution, easier debugging, and greater portability across operating systems, but generally have higher runtime overhead and lower execution speed than compiled programming languages.

⭐ Most Popular in 2026

The following chart shows the leading interpreted programming languages on the web in 2026, based on market share.

The most popular is JavaScript with an impressive share of 91.8%, followed by PHP with 68% and Ruby with 3.6%.

🚀 Country Highlights

Here is a list of languages that are especially popular in certain countries.
Differences between global and country rankings are shown in parentheses.

✨ Best Interpreted Programming Languages

Below is a more detailed list of 6 interpreted programming languages we track, ranked by their market share.

Available filters: Compiled Functional Interpreted JIT
RankNameMarket share
1
JavaScript
Geneva, Switzerland

An interpreted programming language and a core technology of the web, alongside HTML and CSS, used to add interactivity and logic to websites and web applications.

2
PHP

A widely used server-side scripting language for building dynamic web applications.

3
Ruby
Matsue, Japan

An interpreted, object-oriented, open-source programming language designed for simplicity and productivity, commonly used for web development.

4
Python
Wilmington, Delaware, United States

A high-level, general-purpose programming language that is dynamically typed and widely used for scripting, automation, data analysis, and machine learning.

5
Perl

A high-level, scripting, dynamically typed programming language.

6
Hack
Menlo Park, California, United States

A PHP-based programming language designed for the virtual machine and developed by Meta to build large-scale web applications with improved type safety.

🗃️ About This Data