{"id":18914269,"url":"https://github.com/sc0v0ne/blueflix","last_synced_at":"2026-04-10T07:49:19.766Z","repository":{"id":190868448,"uuid":"682789754","full_name":"sc0v0ne/Blueflix","owner":"sc0v0ne","description":"Simple Application Recommend Movies and Tv Shows","archived":false,"fork":false,"pushed_at":"2024-01-18T21:40:24.000Z","size":9424,"stargazers_count":0,"open_issues_count":16,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T14:47:40.537Z","etag":null,"topics":["csv","k-means","k-means-clustering","kaggle","movies","numpy","pandas","python","recommends-movies","sklearn","streamlit"],"latest_commit_sha":null,"homepage":"https://blueflix.streamlit.app","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sc0v0ne.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-08-24T23:38:15.000Z","updated_at":"2024-03-18T04:08:52.000Z","dependencies_parsed_at":"2024-11-29T12:03:26.692Z","dependency_job_id":"6f155b7d-a5a2-4d9e-996e-7e8b200c09ee","html_url":"https://github.com/sc0v0ne/Blueflix","commit_stats":null,"previous_names":["sc0v1n0/blueflix_streamlit","sc0v0ne/blueflix_streamlit","sc0v0ne/blueflix"],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sc0v0ne%2FBlueflix","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sc0v0ne%2FBlueflix/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sc0v0ne%2FBlueflix/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sc0v0ne%2FBlueflix/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sc0v0ne","download_url":"https://codeload.github.com/sc0v0ne/Blueflix/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239907240,"owners_count":19716584,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["csv","k-means","k-means-clustering","kaggle","movies","numpy","pandas","python","recommends-movies","sklearn","streamlit"],"created_at":"2024-11-08T10:10:47.305Z","updated_at":"2026-03-09T19:30:21.755Z","avatar_url":"https://github.com/sc0v0ne.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Blueflix  Streamlit\n\nWhen I was in college I had developed a project with jupyter notebook, which consumes data from the [Netflix Prime Video Movies and TV Shows](https://www.kaggle.com/datasets/shivamb/netflix-shows) set. The idea was to use this set of data, clean, analyze and develop a stage where I could recommend movies and TV shows.\n\nI was very happy with the result. But I wanted more, I wanted to take this notebook and transfer it to an application where I could interact with the project. So create a personal project where I can use what I studied and learned over time.\n\nBut something was missing, which was how am I going to show this result of my project. During that time I discovered this tool [Streamlit](https://streamlit.io), ohhhhhhhhhh!!!!! Incredible !!! The flexibility I gained using it was very good and in addition to being able to deploy using their platform, this way I can show what I did.\n\nI want to thank **Kaggle - @shivamb**, for making the sets below available. In addition to the Netflix set, there are 3 more.\n\n- [Netflix Movies and TV Shows](https://www.kaggle.com/datasets/shivamb/netflix-shows)\n- [Hulu Movies and TV Shows](https://www.kaggle.com/datasets/shivamb/hulu-movies-and-tv-shows)\n- [Disney+ Movies and TV Shows](https://www.kaggle.com/datasets/shivamb/disney-movies-and-tv-shows)\n- [Amazon Prime Movies and TV Shows](https://www.kaggle.com/datasets/shivamb/amazon-prime-movies-and-tv-shows)\n\nFrom these 4 sets, the idea of creating a single one came up to be able to expand the data further, to be able to create more recommendations. Follow the link below.\n\n[4 Services Streaming Movies and Tv Shows](https://www.kaggle.com/datasets/sc0v1n0/4-services-streaming-movies-and-tv)\n\nIf you want to understand the process more, I have a post and 4 more notebooks where I explain the notebook I created.\n\n- [Post - K-Means Recommend Movies and Tv Shows ](https://dev.to/sc0v0ne/k-means-recommend-movies-and-tv-shows-156m)\n- [Hulu Notebook](https://www.kaggle.com/code/sc0v1n0/k-means-recommend-movies-and-tv-shows-hulu)\n- [Amazon Notebook](https://www.kaggle.com/code/sc0v1n0/k-means-recommend-movies-and-tv-shows-amazon-prime)\n- [Disney Notebook](https://www.kaggle.com/code/sc0v1n0/k-means-recommend-movies-and-tv-shows-disney)\n- [Notebook Netflix](https://www.kaggle.com/code/sc0v1n0/k-means-recommend-movies-and-tv-shows-netflix)\n\n\n## Conclusion\n\nThis personal project is a dream that I am developing, I want to evolve it further with the skills I acquire along the way. I won't always be adding updates, because I have ideas of other projects that I want to evolve, but I won't stop paying attention. I hope that other developers understand my codes and that I can transfer what I learned in this time. I hope you enjoyed it. Please, if you could leave a like on my post or on my notebooks, I would really appreciate it, so I can know if you liked it. Thank you for reading this far.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsc0v0ne%2Fblueflix","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsc0v0ne%2Fblueflix","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsc0v0ne%2Fblueflix/lists"}