google/yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
641 stars. Actively maintained with 11 commits in the last 30 days.
Stars
641
Forks
76
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
11
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/google/yggdrasil-decision-forests"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
tensorflow/decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of...
neurodata/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
sanity/quickml
A fast and easy to use decision tree learner in java
lagodiuk/decision-tree-js
Small JavaScript implementation of ID3 Decision tree