Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
stanford-crfm/helm has 2,811 GitHub stars. It gained +1 stars over 1 recorded day in the last 7 days (snapshots through Jun 4, 2026).
Its biggest recent day was May 29, 2026, with +1 stars.
It currently ranks #24956 daily, #25561 weekly, #27711 monthly by momentum on Trending Repos; its best-ever rank is #1454.
Trending Repos first recorded it on May 28, 2026.
| Date | Stars gained | Total stars | Forks gained |
|---|---|---|---|
| +1 | 2,803 | 0 |