⚡ Software Platforms in Brunei Darussalam

Software platforms are environments that consist of programming languages, runtimes, and supporting frameworks, serving as the basis for developing, deploying, and running applications.

Brunei Darussalam is a Southeast Asian country with a population of around 450 thousand people.

According to our research, software platforms are detected on 86.3% of websites from Brunei Darussalam.

⭐ Most Popular in 2026

The following chart shows the top platforms on websites in Brunei Darussalam in 2026, based on market share.

The most popular is .NET with an impressive share of 51.3%, followed by PHP with 42.5% and Node.js with 4.4%.

🚀 Highlights

Here is a list of the top platforms that are more popular in Brunei Darussalam than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best Platforms

Below is a more detailed list of 6 platforms used on sites from Brunei Darussalam, ranked by their market share.

RankNameMarket share
1
.NET
Redmond, Washington, United States

A free, cross-platform, open-source developer platform from Microsoft used to build web, desktop, mobile, cloud, and IoT applications across Windows, Linux, and macOS.

2
PHP

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

3
Node.js
San Francisco, California, United States

A cross-platform, open-source JavaScript runtime environment, commonly used for building server-side and network applications.

4
Java
Austin, Texas, United States

A multi-platform, object-oriented programming language first released by Sun Microsystems in 1995, designed to run across different systems through the Java Virtual Machine.

5
Ruby on Rails
Chicago, Illinois, United States

A full-stack web application framework that provides the tools needed to build database-driven applications using the Model-View-Controller pattern.

FreeOpen source
6
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.

🗃️ About This Data