Letterboxd-friend-ranker
letterboxd_recommendations
| Letterboxd-friend-ranker | letterboxd_recommendations | |
|---|---|---|
| 1 | 3 | |
| 12 | 212 | |
| - | - | |
| 10.0 | 9.1 | |
| over 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
Letterboxd-friend-ranker
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Letterboxd Profile Analyzer, Friends Ranker, and Simple Movie Recommender App
The loading bar actually comes with Streamlit and they have each of their component documentations on their page, you can access my source code for the app on my GitHub here (check on deployment.py, search for "st.spinner" and "st.progress"). For additional data of each movie, maybe you missed that part on my Profile Analysis article (the scraping movie details part). Yes, I modified scraping functions from this repo and I mentioned it on my Friends Ranker article.
letterboxd_recommendations
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Self Hosted Content Recommender?
Use an existing self-hostable tool for getting recommendations from there, such as letterboxd_recommendations
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No more rec requests
Notes from the project’s Git basically says the same thing. Instead of taking suggestions from one person, you’re taking suggestions from 4,000 and they get coalesced into something human readable. Don’t get me wrong, it’s neat and has its use.
- Any tools for adding a list of recommendations?
What are some alternatives?
web-scraping - Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist
plex-letterboxd-sync - Sync your Letterboxd watchlist with your Plex media server.
Letterboxd-Tweet-Poster - Post your logged films/created lists on Lettterboxd to a Twitter thread
letterboxd-list-radarr - Connect radarr to letterboxd.com lists
letterboxd-friends-ranker - Letterboxd Profile Analyzer, Friends Ranker and Movie Recommendations
Letterboxd-list-scraper - A program that can scrape Letterboxd lists from an input URL. The output CSV contains information about the film title, release year, director, cast, personal rating, average rating and a lot more from an input URL.
movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface
JobFunnel - Scrape job websites into a single spreadsheet with no duplicates.