Showing 4 open source projects for "imdb"

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    CrossDB

    CrossDB

    Ultra High-performance Lightweight Embedded and Server OLTP RDBMS

    CrossDB is a ultra high-performance, lightweight embedded and server OLTP RDBMS. It is designed for high-performance scenarios where the main memory can hold the entire database.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Cinemagoer

    Cinemagoer

    Python package to retrieve and manage data of the IMDb

    Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Movies for Hackers

    Movies for Hackers

    A curated list of movies every hacker & cyberpunk must watch

    Movies For Hackers is a community-curated collection of films and TV shows selected for people interested in hacking, cyberpunk culture, and tech-driven stories. The list groups entries by genre—thrillers, science fiction, action, documentaries—and includes year, genre, and IMDb ratings so readers can quickly compare titles. It provides both a readable README and a sortable web view for browsing the collection more easily. The repository also includes guidance for contributors and a small script to help work with the list, encouraging community additions and updates under a CC0-1.0 license. The selection highlights movies that explore themes of security, privacy, code, networks, and the social impact of technology, useful for entertainment and cultural context for technologists. ...
    Downloads: 5 This Week
    Last Update:
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  • 4
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit...
    Downloads: 1 This Week
    Last Update:
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