⚡ Static Code Analysis in the Philippines

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

The Philippines is a Southeast Asian country with a population of over 118 million people.

According to our research, static code analysis tools are detected on 0.2% of websites from the Philippines.

Statistics based on 5K+ analyzed websites. About this data

⭐ Most Popular in 2026

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

The most popular is ESLint, which dominates the market with an overwhelming 78.6% share.
It is followed by Stylelint with 14.3% and JSHint with 7.1%.

ESLint 78.6%
Stylelint 14.3%
JSHint 7.1%

🚀 Highlights

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

2. Stylelint ^(-1)

✨ Best Static Code Analysis Tools

Below is a more detailed list of 3 static code analysis tools used on sites from the Philippines, 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	78.6%
2	Stylelint A linter for CSS and SCSS stylesheets that helps to avoid errors and enforce conventions. FreeOpen source	14.3%
3	JSHint A static code analysis tool for JavaScript that detects errors and potential problems in code. FreeOpen source	7.1%

👉 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 5,629 websites from the Philippines.
We currently track the presence of 6 static code analysis tools across the web.
Of these, 3 were detected on websites from the Philippines.
Statistics were last calculated on June 4, 2026.
For more details, see our methodology and disclaimer.