⚡ Static Code Analysis in Singapore

Static code analysis is a method of examining source code without running it to find errors, enforce coding standards, and improve code quality.

Singapore is a Southeast Asian country with a population of over 6 million people.

According to our research, static code analysis tools are detected on 0.3% of websites from Singapore.

Statistics based on 16K+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the top static code analysis tools on websites in Singapore in 2026, based on market share.

The most popular is ESLint, which dominates the market with an overwhelming 75.5% share.
It is followed by Stylelint with 22.4% and JSHint with 6.1%.

ESLint 75.5%
Stylelint 22.4%
JSHint 6.1%
JSLint 2%

✨ Best Static Code Analysis Tools

Below is a more detailed list of 4 static code analysis tools used on sites from Singapore, ranked by their market share.

Rank	Name	Market share
1	ESLint San Francisco, California, United States A static code analysis tool for ECMAScript/JavaScript code. FreeOpen source	75.5%
2	Stylelint An open-source CSS linter built on PostCSS that helps developers detect errors and enforce consistent coding conventions in CSS, Sass, and Less stylesheets. FreeOpen source	22.4%
3	JSHint A static code analysis tool for JavaScript that detects errors and potential problems in code. FreeOpen source	6.1%
4	JSLint United States A code quality tool that looks for problems in JavaScript programs. FreeOpen source	2%

👉 See Also

🌎 Static Code Analysis in other countries

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 16,975 websites from Singapore.
We currently track the presence of 6 static code analysis tools across the web.
Of these, 4 were detected on websites from Singapore.
Statistics were last calculated on September 5, 2026.
For more details, see our methodology and disclaimer.