⚡ Tech Stacks in Morocco

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.

Morocco is a North African country with a population of over 38 million people.

According to our statistics, technology stacks are detected on 20.4% of websites from Morocco.

⭐ Most Popular in 2026

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

The most popular is LAMP with an impressive share of 43.8%, followed by LEMP with 24.8% and Jamstack with 19.6%.

🚀 Highlights

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

✨ Best Tech Stacks

Below is a more detailed list of 9 tech stacks used on sites from Morocco, ranked by their market share.

RankNameMarket share
1
LAMP

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

2
LEMP

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

3
Jamstack
San Francisco, California, United States

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

4
Microsoft
Redmond, Washington, United States

A collection of software products, frameworks, development tools, and cloud services from Microsoft used to build, deploy, and manage applications.

5
LAPP

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

6
WIMP

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

7
MEAN

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

8
MERN

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

9
MEVN

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

👉 See Also

🗃️ About This Data