TIMDB VS PopCritic

Compare TIMDB vs PopCritic and see what are their differences.

TIMDB

The Indian Movie Database - supports content-based and collaborative filtering techniques (by pncnmnp)
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TIMDB PopCritic
1 21
35 75
- -
0.0 0.0
12 months ago almost 2 years ago
Python JavaScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TIMDB

Posts with mentions or reviews of TIMDB. We have used some of these posts to build our list of alternatives and similar projects.

PopCritic

Posts with mentions or reviews of PopCritic. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing TIMDB and PopCritic you can also consider the following projects:

cinemagoer - Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies

next-movie - Pick your next movie using Next.js 13

FireFly - https://firefly-49286.web.app/ Firefly is a browser for movies, tv series, actors and crew. You can find your favorite movies or tv series, watch them, rate and save.

Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

MovieRecommender - 🎥 Movie Recommender AI System

perplex - A Movie Renamer for Plex Metadata

watch3r - Movie watchlist and journal app built with Vue 3 and Fauna DB. All future development of this project has moved to Codeberg.