⚡ Tech Stack in the United States

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.

The United States of America (USA) is a North American country with a population of over 341 million people.

According to our statistics, tech stacks are detected on 34.2% of websites from the United States.

⭐ Most Popular in 2026

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

The most popular is LEMP with an impressive share of 36.3%, followed by LAMP with 35.7% and Microsoft with 20.6%.

✨ Best Tech Stacks

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

RankNameMarket share
1
LEMP

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

2
LAMP

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

3
Microsoft
Redmond, Washington, United States

A set of software products and technologies from Microsoft.

4
Jamstack
San Francisco, California, United States

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

5
WIMP

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

6
MERN

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

7
MEAN

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

8
LAPP

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

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

Data is based on the analysis of 545,779 websites from the United States.
Statistics were last calculated on .
For details, see our methodology and disclaimer.