Free streaming Movies 🍿

Movies/Serials with Delphi FMX

Unofficial Python API for Box Office Mojo

CodeName-A is a free-to-use website where people can watch movies and share their thoughts with the community.

CINELAND is a feature-rich platform for discovering movie, TV show, and series search platform built with React and TypeScript

Sudo-flix's source code (Allegedly)

CineVault is a minimal digital library designed for movie and TV show enthusiasts. It allows you to easily save recommendations, keep track of your favorite movies and shows, and write small personal reviews of the media you have already consumed.

🍿 Check the Latest Movie Trends with Theatre, All Rainbows & Flutterflies.

Public instances for your favourite place for your favourite movies & shows.

Es mi proyecto individual del curso DATAPT-11 de Henry. Consiste en la creación de un sistema de recomendación de películas.

123MovieHD is an online streaming platform offering a vast collection of high-quality films and TV shows. From the latest blockbusters to timeless classics, it provides seamless, user-friendly access to a diverse range of content, all in high definition—completely free and without subscriptions or hidden fees.

Movie explorer 🎬

a place where this NPC places his thoughts, and expands upon his ideas

Random Movie Roulette: randomly choose a good movie to watch !

movie app

Malayalam Movie Subs is a non-profit initiative bringing the beauty of Malayalam cinema to a global audience by providing high-quality English subtitles for classic films.

SilverScreenAnalytics is a data analysis project that explores a movie dataset to uncover patterns and trends in the film industry. It analyzes variables such as budget, revenue, popularity, and vote averages, with insights on the most expensive and profitable movies, genre distribution, and relationships between key factors.

Custom Movie Browser for movie search using C++ and sgg library

Network, Covariates, or Both: A study on dynamic network data with covariates. I Identify clusters or segments of users in a social media network and interpret the segmentation, and compare the segments identified from different data sources, i.e. network, covariates, or both.