I just open-sourced a lightweight ML-based bot detection API. It uses simple features like user-agent entropy, path entropy, outdated browser patterns and sensitive URLs to detect automated requests.
Built with LightGBM and Flask
No IP tracking, no cookies
Ideal for edge use cases or form validation
Easily extensible via feature hooks
Model can be retrained from logs (retrain_model.py)
Built with LightGBM and Flask No IP tracking, no cookies Ideal for edge use cases or form validation Easily extensible via feature hooks Model can be retrained from logs (retrain_model.py)
https://github.com/TimTom32hh/ml-bot-score-api
Would love feedback or contributors interested in privacy-first bot defense.