⚡ Website Components in Tanzania

CSS and JavaScript components are reusable pieces of code that help keep websites consistent and speed up development by allowing developers to easily apply common layouts, styles, and interactive elements across pages.

Tanzania is an East African country with a population of over 67 million people.

According to our research, website components are used on 5.2% of websites from Tanzania.

⭐ Most Popular in 2026

The following chart shows the top component technologies in Tanzania in 2026, based on market share.

The most popular is Normalize.css with an impressive share of 45%, followed by Polymer with 17.5% and AMP with 12.5%.

🚀 Highlights

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

✨ Best Component Technologies

Below is a more detailed list of 8 component technologies used on sites from Tanzania, ranked by their market share.

RankNameMarket share
1
Normalize.css
San Francisco, California, United States

A modern, HTML5-ready alternative to CSS resets.

FreeOpen source
2
Polymer

A library for creating encapsulated, reusable web components.

FreeOpen sourceLegacy
3
AMP
San Francisco, California, United States

An open-source HTML framework for creating lightweight pages that are optimized for mobile web browsing and load faster.

FreeOpen source
4
Helix Ultimate
Dhaka, Bangladesh

A universal Joomla template that can be used to build all sorts of websites.

FreeOpen source
5
Hover.css
Devon, United Kingdom

A collection of CSS3 powered hover effects to be applied to links, buttons, logos, SVG, featured images.

FreeOpen source$14+
6
Spin.js

An animated, configurable, resolution independent loading spinner with no dependencies.

FreeOpen source
7
Loadable Components

A React code splitting library that supports SSR.

FreeOpen source
8
HTML5 Boilerplate

A professional front-end template for building fast, robust, and adaptable web apps or sites.

FreeOpen source

👉 See Also

🗃️ About This Data