🆚 Fat-Free Framework vs. Vapor

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

Fat-Free Framework (F3) is a lightweight PHP micro-framework designed for rapid development of web applications and APIs.

It offers a high-performance URL routing system, a multi-protocol caching engine, built-in support for multilingual applications, a fast template engine, and integrates with multiple databases including MySQL, PostgreSQL, SQLite, SQL Server, MongoDB, and its own flat-file database called Jig.

Vapor is a server-side HTTP web framework written in Swift used for building RESTful APIs, web applications, and real-time features via WebSockets.

It offers a non-blocking architecture based on SwiftNIO, a type-safe ORM called Fluent supporting PostgreSQL, MySQL, MongoDB, and SQLite, Leaf templating, built-in authentication (including JWT), middleware, and validation.

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #34
Backend Frameworks › Rank #64
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Popularity

Determined by the number of sites using each technology.

Fat-Free Framework technology is 58 times more popular than Vapor.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Fat-Free Framework is more popular than Vapor in all countries.
Germany
Poland
United Kingdom
United States
Belgium
Russia
Lithuania
Australia
France
Romania

Awards

Popularity by domain category

Determined by the number of sites in each category.

Fat-Free Framework is more popular than Vapor in all market segments.
Entertainment
Marketing/Merchandising
Online Shopping
Business
Blogs/Wiki
Education/Reference
Games
Real Estate
General News
Finance/Banking

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#18,241
#43,761
View more ➝
Name
Rank
#2,447,586

See also

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When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.
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