⚡ Tech Stack in Bangladesh

A technology stack, also known as a software stack or development stack, is a set of programming languages, technologies and tools that are used to build and run software or a website.

Bangladesh is a South Asian country with a population of over 173 million people.

According to our statistics, tech stacks are detected on 15.6% of websites from Bangladesh.

⭐ Most Popular in 2026

The following chart shows the top tech stacks on websites in Bangladesh in 2026, based on market share.

The most popular is Jamstack with an impressive share of 30.2%, followed by LAMP with 29% and LEMP with 25.1%.

🚀 Highlights

Here is a list of the top tech stacks that are more popular in Bangladesh than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best Tech Stacks

Below is a more detailed list of 10 tech stacks used on sites from Bangladesh, ranked by their market share.

RankNameMarket share
1
Jamstack
San Francisco, California, United States

A web development architecture pattern and solution stack based on JavaScript, APIs, and Markup.

2
LAMP

An open-source web application stack consisting of Linux, Apache, MySQL, and PHP, Perl, or Python.

3
LEMP

An open-source web application stack consisting of Linux, Nginx, MySQL, and PHP, Perl, or Python.

4
Microsoft
Redmond, Washington, United States

A set of software products and technologies from Microsoft.

5
LAPP

An open-source web application stack consisting of Linux, Nginx, PostgreSQL, and PHP, Perl, or Python.

6
MERN

An open-source web application stack consisting of MongoDB, Express.js, React.js, and Node.js.

7
WIMP

A web application stack consisting of Windows, IIS, MySQL, and PHP, Perl, or Python.

8
MEAN

An open-source web application stack consisting of MongoDB, Express.js, Angular/AngularJS, and Node.js.

9
MEVN

An open-source web application stack consisting of MongoDB, Express.js, Vue.js, and Node.js.

10
WAMP

A software stack consisting of Windows, Apache, MySQL, and PHP, Perl, or Python.

👉 See Also

🗃️ About This Data