Find an open-source electronic health record system to use as a base for a hospital or clinic management app.
Discover FHIR, HL7, or DICOM libraries to integrate health data standards into a new healthcare application.
Browse open healthcare datasets suitable for training a machine learning model on health data.
Identify medical imaging tools for viewing or analyzing X-rays, MRI, or CT scans in a research project.
This is a curated link list, no setup required, just browse the README and follow links to projects that fit your needs.
This repository is a curated list of open-source software, libraries, data standards, and tools built for healthcare. It is part of the "awesome list" tradition on GitHub, where contributors gather and vet links in a specific domain so you do not have to search from scratch. Every entry here has been checked to confirm the project is still active and provides real value to someone working in or around healthcare. The list covers a wide range of categories. On the clinical software side there are electronic health record systems (full patient management platforms used by hospitals and clinics), medical imaging tools (viewers and analysis tools for X-rays, MRI, CT scans, and microscopy), laboratory information systems, dental software, and telemedicine platforms. There are also entries for nursing observation tools and personal health record applications. Beyond end-user software, the list includes programming libraries and frameworks that developers use when building healthcare applications. It also covers the data standards that healthcare software needs to speak, such as FHIR (a modern standard for exchanging health information between systems), HL7 v2 (an older but still widely used messaging format), DICOM (the standard for medical images), and OpenEHR. Knowing these standards matters because healthcare systems from different vendors need to exchange data, and the standards define how that data is structured. Other sections point to datasets useful for research, machine learning resources applied to health data, hardware projects, bioinformatics tools, compliance resources, and books. The list explicitly excludes projects that are no longer maintained, so it tends to be more reliable than a general web search. This repository is useful for developers building health applications who want to find existing tools rather than build from scratch, for researchers looking for open datasets, or for anyone trying to understand what open-source software exists across the healthcare technology landscape.
← kakoni on gitmyhub — every repo by this author, as a profile.
Verify against the repo before relying on details.