NGBoost

NGBoost is a library for probabilistic prediction via gradient boosting that estimates full probability distributions rather than point predictions. Current version is 0.5.10, supporting Python 3.9–3.14. It uses natural gradient boosting to learn parameters of a parametric distribution. Release cadence is periodic, with recent versions adding distribution support (Weibull, HalfNormal, Beta, etc.), numpy2 compatibility, and sklearn compatibility. Maintained by the Stanford ML Group.