Awesome Healthcare

Self-hosted platform to unify wearable health data through one AI-ready API.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

Healthcare data infrastructure for next generation care delivery.

Python SMART on FHIR client

A Python implementation of the DICOM networking protocol

Molecular Processing Made Easy.

Electronic Health Record Analysis with Python.

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

A toolkit for evaluating and monitoring AI models in clinical settings

eds-scikit is a Python library providing tools to process and analyse OMOP data

Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics

Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.

Python package to provide utilities for NHS Numbers, including validity checks, normalisation, and generation.