Top 3 most visited websites which use Django in 2022
There are presently more than 80,000 active websites built with Django, according to SimilarTech. Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design (check out my article: https://gustavwillig.medium.com/is-django-in-2021-still-relevant-78848c5b8d59).
According to SimilarTech, there were 80,340 websites built with Django as of September 2022.
1. Chaturbate
The most visit website which use Django is Chaturbate. It is a hugely popular site and rank on 51 worldwide and has 460 million monthly visits. The website is able to handle thousands of concurrent livestream to a giant audience at any given moment. Chaturbate has approximately an average of 1,000 to 3,000 cam models online at any moment time. Each of those will have an audience size that ranges from a zero to over thousand.
Django perfectly works as is and provides users with a range of options to create Python-based web-applications including a user dashboard, various database supports (SQLite, PostgresSQL, MySQL), admin functions, and more.
2. Eventbrite
On the second place is Eventbrite with 37.5 million monthly visits. It is an American event management and ticketing website. The service allows users to browse, create, and promote local events. The service charges a fee to event organizers in exchange for online ticketing services, unless the event is free.
If you are interested to find out there experience with Django is you can follow the https://www.eventbrite.com/engineering/ blog
3. Last.fm
On the third place is Last.fm with 34.2 million monthly visits. is a music website founded in the United Kingdom in 2002. Using a music recommender system called “Audioscrobbler”, Last.fm builds a detailed profile of each user’s musical taste by recording details of the tracks the user listens to, either from Internet radio stations, or the user’s computer or many portable music devices. This information is transferred (“scrobbled”) to Last.fm’s database either via the music player (including, among others, Spotify, Deezer, Tidal, MusicBee, SoundCloud, and Anghami) or via a plug-in installed into the user’s music player. The data is then displayed on the user’s profile page and compiled to create reference pages for individual artists.
