Scoring Rules

library 0.9.0 ·python

✓ verified Jun 28, 2026

Scoringrules is a Python library for evaluating probabilistic forecasts using various scoring rules. It provides implementations of Continuous Ranked Probability Score (CRPS), Log Score, Brier Score, Dawid-Sebastiani Score, and more for various distributions and ensembles. The current version is 0.9.0, and the library maintains an active development pace with frequent minor releases and occasional breaking changes.

Traffic · last 30 days stale · no recent hits · indexed Fri Apr 17 · updated Sat Jul 11

total hits 14

actors 5 distinct systems

last hit 15d ago AhrefsBot

GPTBot

ByteDance

Script

Amazonbot

top countries 🇺🇸 United States · 🇸🇬 Singapore · 🇬🇧 United Kingdom · 🇨🇦 Canada · 🇩🇪 Germany

Resources

docsfrazane.github.io/scoringrules ↗

githubgithub.com/frazane/scoringrules ↗

packagepypi.org/project/scoringrules/ ↗

API endpoints

full doc /v1/registry/scoringrules

install /v1/registry/scoringrules/install

compatibility /v1/registry/scoringrules/compatibility