Bazarr is a companion application to Sonarr and Radarr. It manages and downloads subtitles based on your requirements. You define your preferences by TV show or movie and Bazarr takes care of everything for you.

🎥 A beautiful movie application build by flutter.

In this code we demonstrate how a simple Spring Boot application can be deployed on top of Kubernetes. This application, Office Space, mimicks the fictitious app idea from Michael Bolton in the movie "Office Space".

This is a marker less augmented reality application developed using OpenCV. This code can be used under MIT license. Demo movie: http://youtu.be/KgQguj78qMA

DDOS Tool: To take down small websites with HTTP FLOOD. Port scanner: To know the open ports of a site. FTP Password Cracker: To hack file system of websites.. Banner Grabber: To get the service or software running on a port. (After knowing the software running google for its vulnerabilities.) Web Spider: For gathering web application hacking information. Email scraper: To get all emails related to a webpage IMDB Rating: Easy way to access the movie database. Both .exe(compressed as zip) and .py versions are available in files.

Android movie streaming application — completely free and ad-free.

This is a sample movie list Android application built to demonstrate use of Clean Architecture tools. Dedicated to all Android Developers - (Kotlin, MVVM, Clean Architecture, Rx-Java, Dagger, OkHttp, Unit Testing, SOLID principles, Code Coverage)

The Trakt API is a RESTful API that allows developers to integrate TV show and movie tracking features into their applications. It enables access to Trakt's extensive media database and lets apps synchronize a user's watch history, ratings, and lists with their Trakt.tv profile.

Code for YouTube series on building a Laravel Movie Application

:movie_camera: An iOS native implementation of a Cinema Animation Application. See more at https://dribbble.com/shots/2339238-Animation-for-Cinema-Application.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

iOS application for the Movie DB

The goal of this project is to implement an application called movie-app to manage movies. For it, we will implement a back-end Spring Boot application called movie-api and a front-end React application called movie-ui. Additionally, we will use OAuth2 (Social Login) to secure both applications.

Movie Recommendation System with Complete End-to-End Pipeline, Model Integration & Web Application Hosted.

A movie application built using React hooks

Movies and TV Show mobile application. Built using react native.

iOS application for Movie / Actor information with clean / intuitive UI and MVVM architecture.

:movie_camera:The douban-movie Application built with webpack + vue + vuex + vue-router + iView.

Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.

A console application to scrape a valid watching links for any movie or series with exact season and episode number, you can also download a whole season with one click.

An example cross-platform movie recommendation application built using Xamarin.Forms and Azure ML service

Full Stack Movie Application with NEXT.JS 13!(Next.js 13, mongodb, node js, NextAuth.js v4, Tailwind CSS, framer-motion, TMDB Api, Google Authentication, primary information about a movies, Users can Add Bookmark in favorite actors and movies)

A Movie Application uses TheMovie API, MVVM architecture and all jetpack components.

FilmKu is an open-source Flutter movie application that exemplifies clean architecture principles while leveraging the power of both Riverpod and Bloc for state management. The app utilizes the Movies Database API to provide users with an immersive movie discovery experience. With dependency injection powered by get_it.

React-redux + Firebase application to browse on movie database

react application deconstructed to Bit components, to be a shared-library https://bit.dev/bit/movie-app

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

A movie tickets booking and management application using Flutter and NestJS. Flutter BLoC pattern and RxDart, rx_redux, stream_loader for state management. Firebase authentication, socket.io. Backend using NestJS, MongoDB database and Neo4j. Recommendation using Neo4j database and Collaborative filtering via Cypher query. Movie ticket booking flutter

A Simple Movie Application built with React JS, Typescript and Tailwind CSS which allows user to search and view the trailer of both movies and TV series.

AMTD is a Radarr companion script to automatically download movie trailers and extras for use in other video applications (plex/kodi/jellyfin/emby)