sunnyadn/crforest

Scalable, scikit-learn-compatible competing-risks survival analysis in pure Python — CR random survival forest, Fine-Gray, cause-specific Cox, Aalen-Johansen CIF, Gray's test, and exact TreeSHAP. 10–22× faster than randomForestSRC on real EHR and 16.6–544× vs scikit-survival (n=5k→50k); scales to n=10⁶ in ~1 min.

1 best points · 0 comments · 1 Hacker News post · 10 GitHub stars · View on GitHub

Hacker News discussions

• Show HN: Crforest – Competing-risks RSF in Python, 6× faster than R's rfSRC (1 points, 0 comments, by sunnyadn, 2026-04-29)