Sprout logo showing a small pixel art plant sprouting out of an orange plant pot Sprout Anime Recommender

Don't have an account to load from? Try the Interactive Recommender

About Sprout

Sprout is an interactive anime recommendation engine. It uses a machine learning model to generate tailored recommendations based on your watch history and ratings from MyAnimeList or AniList. It also provides a variety of filters and options for narrowing the results.

In addition to recommendation, Sprout also provides a growing variety of stats and visualizations of both your personal anime watch history and preferences as well as the entire world of anime via the Atlas Visualization .

Sprout is fully Open Source. This includes the full website code as well as the recommendation model and data collection scripts.

If you encounter any issues or have any other feedback, please feel free to Email Me or DM me on Twitter @ameobea10. I'm particularly interested in feedback about the recommendations - please do let me know what you think. I'm interested in making Sprout as good + useful as it can be!

About the Recommendations

Sprout loads your anime list from your MyAnimeList or AniList profile and uses it to generate a list of recommendations of animes that you are likely to also like. It takes your ratings into account as well — low ratings are treated as negatives for the model.

In order to do this, it uses a neural network that is trained using data from other MyAnimeList users. Unlike some other recommendation strategies that generate recommendations on a rating-by-rating basis, this model has the advantage of being able to consider your entire anime list at once. This allows it to make use of complex relationships between anime + ratings to produce higher-quality recommendations.

If you don't have a MyAnimeList or AniList account, you can use the interactive recommender or check out some sample recommendations.

About the Atlas Visualization

The Atlas Visualization is an interactive map of the world of anime. It is built by using data about relationships between different anime derived from both user ratings as well as anime metadata to place more closely related anime near each other.

If you load in your anime list to the visualization or view it from your user profile page, it will highlight anime that you have watched with a blue glow. This is useful as context when exploring the atlas - I highly suggest doing so!

The atlas visualization was built by constructing a high-dimensional Graph Embedding which encodes the relationship data between all the animes and then projecting that down into 2D using t-SNE.