About Beer Analytics
Beer Analytics is a database of beer brewing recipes, built specifically for data analysis. The database currently contains 441,522 recipes, mostly from the homebrewing community. It is made for beer enthusiasts and (home)brewers to provide detailed insights into brewing recipes, even when they're not an expert in data analysis. The goal is to expand the knowledge how certain types of beer are typically brewed, ultimately helping (home)brewers to compose better recipes themselves, and potentially uncover some trends in craft/home brewing.
It as created by beer enthusiast, homebrewer and software engineer Christian Scheb, who was feeling the need to get better insights how certain beers are composed, other than clicking through dozens of recipes. After starting a Jupyter data analysis project for himself in August 2020, he decided build a website from it, so other homebrewers can benefit from these insights alike.
I'm happy to hear your feedback about this page. Would you like to see a new chart/metric? Are you missing a feature? Feel free to contact me:
- Create an issue on GitHub
- Send me a Tweet
- Send me a message on Instagram
- Or send me an old-school email: mail (at) christianscheb (dot) de
This website is built with ❤️ and Open Source software, using Python and Django for the backend. SQLite is the data storage. Data analysis is performed mostly with Pandas and results are visualized with the fantastic Plotly library. The frontend is built with SCSS and TypeScript for ease of development and is bundled with Webpack.
- The recipe database now automatically updates with latest recipes once a day
- Added custom filtering and data analysis
- Trends on the homepage have been removed in favor to custom analysis and dedicated trends pages
This is the last big update for now. The project has reached a state in which everything that I've planned at the beginning has been implemented. Minor improvements still may be added occasionally. I'm happy to hear feedback and ideas, if you have any.
- Added trends pages
- Added a search on the styles and ingredients overviews
- Better trend detection
- Added a box to link random recipes of that category
- Added 100k more recipes
- No longer assign a style when a recipe's characteristics are too far from the style specification
- New charts
- Styles: Most used yeasts over time
- Styles: Trending yeasts
- Styles: Most used hops over time
- Styles: Most used fermentables over time
- Hops: Yeasts used in combination
- Yeasts: Hops used in combination
- Smoother timeline charts