🆚 Fat-Free Framework vs. Vibe.d

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.

Vibe.d is a high-performance toolkit written in D that provides asynchronous I/O, concurrency primitives, and a full web application framework.

It features a fiber-based pseudo-blocking model, built-in drivers for MongoDB and Redis, compile-time "Diet" templates, multi-threading with load balancing, exception-based error handling, routers, WebSockets, and session support.

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #34
Backend Frameworks › Rank #65

Popularity

Determined by the number of sites using each technology.

Fat-Free Framework technology is 77 times more popular than Vibe.d.
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 Vibe.d in all countries.
Germany
Poland
United Kingdom
United States
Belgium
Lithuania
Australia
France
Romania
Russia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Fat-Free Framework is more popular than Vibe.d 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

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.