| MEDS Schema | Core | GitHub | GitHub | OpenReview | A data standard and community for building and sharing EHR machine learning tools |
| MEDS-Reader | Package | Docs | GitHub | arXiv | An optimized Python package for efficient EHR data processing achieving 10-100x improvements in memory, speed, and disk usage |
| MEDS-Transforms | Package | | GitHub | | A set of functions and scripts for extraction to and transformation/pre-processing of MEDS-formatted data. |
| MEDS-Tab | Package | Docs | GitHub | | A library designed for automated tabularization, data preparation with aggregations and time windowing. |
| ACES | Package | Docs | GitHub | arXiv | A package and configuration language for reproducible extraction of task cohorts for machine learning over event-stream datasets |
| MEDS-Torch | Package | Docs | GitHub | | Advancing healthcare machine learning through flexible, robust, and scalable sequence modeling tools. |
| MEDS-Evaluation | Package | | GitHub | | Evaluation pipeline for MEDS. |
| MEDS-ETL | Package | | GitHub | | Efficient ETL that supports OMOP, MIMIC, eICU, PyHealth. |
| FEMR | Package | | GitHub | | A Python package for manipulating longitudinal EHR data for machine learning, with a focus on supporting the creation of foundation models and verifying their presumed benefits in healthcare. |
| MEDS-DEV | Benchmark | | GitHub | | A benchmark for evaluating the performance of machine learning models on MEDS-formatted data. |