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kakoni/awesome-healthcare

3,782Audience · developerComplexity · 1/5Setup · easy

TLDR

A curated list of active open-source healthcare software, libraries, data standards (FHIR, HL7, DICOM), and research datasets, a vetted starting point for developers building health applications.

Mindmap

mindmap
  root((awesome-healthcare))
    Clinical Software
      EHR systems
      Medical imaging
      Telemedicine
      Dental software
    Data Standards
      FHIR
      HL7 v2
      DICOM
      OpenEHR
    Developer Tools
      Libraries
      Frameworks
    Research
      Open datasets
      ML for health
      Bioinformatics
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Code map

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Things people build with this

USE CASE 1

Find an open-source electronic health record system to use as a base for a hospital or clinic management app.

USE CASE 2

Discover FHIR, HL7, or DICOM libraries to integrate health data standards into a new healthcare application.

USE CASE 3

Browse open healthcare datasets suitable for training a machine learning model on health data.

USE CASE 4

Identify medical imaging tools for viewing or analyzing X-rays, MRI, or CT scans in a research project.

Getting it running

Difficulty · easy Time to first run · 5min

This is a curated link list, no setup required, just browse the README and follow links to projects that fit your needs.

License terms are not described in the explanation.

In plain English

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.

Copy-paste prompts

Prompt 1
From the awesome-healthcare list, which open-source EHR systems support FHIR and are actively maintained? Compare the top two options.
Prompt 2
Find open-source Python libraries in awesome-healthcare for working with FHIR data and show me a quick example of parsing a Patient resource.
Prompt 3
Which open-source DICOM viewers from awesome-healthcare can I embed in a web app to display medical images?
Prompt 4
List the open healthcare datasets in awesome-healthcare that are suitable for training a clinical NLP model.
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