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Spark is an open-source FHIR server developed in C#, initially built by Firely. Further development and maintenance is now done by Incendi.
Spark implements a major part of the FHIR specification and has been used and tested during several HL7 WGM Connectathons.
There are two ways to get started with Spark. Either by using the NuGet packages and following the Quickstart Tutorial, or by using the Docker Images.
Read the Quickstart Tutorial on how to set up your own FHIR Server using the NuGet Packages. There is also an example project that accompanies the Quickstart Tutorial which you can find here: https://github.com/incendilabs/spark-example
Set up the Spark FHIR server by using the Docker Images. Make sure you have installed Docker. On Linux you will need to install Docker Compose as well. After installing Docker you could run Spark server by running one of the following commands, found below, for your preferred FHIR Version. Remember to replace the single quotes with double quotes on Windows. The Spark FHIR Server will be available after startup at http://localhost:5555.
curl 'https://raw.githubusercontent.com/FirelyTeam/spark/r4/master/.docker/docker-compose.example.yml' > docker-compose.yml
docker-compose up
curl 'https://raw.githubusercontent.com/FirelyTeam/spark/stu3/master/.docker/docker-compose.example.yml' > docker-compose.yml
docker-compose up`
curl 'https://raw.githubusercontent.com/FirelyTeam/spark/master/.docker/docker-compose.example.yml' > docker-compose.yml
docker-compose up
Source code can be found in the branch r4/master. This is the version of Spark running at https://spark.incendi.no FHIR Endpoint: https://spark.incendi.no/fhir
Source code can be found in the branch stu3/master, we try to keep up-to-date with the STU3 version of FHIR. This is the version of Spark running at https://spark-stu3.incendi.no FHIR Endpoint: https://spark-stu3.incendi.no/fhir
DSTU2 is no longer maintained by this project. The source code can be found in the branch master.
DSTU1 is no longer maintained by this project. The source code can be found in the branch dstu1/master.
If you want to contribute, see our guidelines
Our strategy for git branching:
Branch from the r4/master branch which contains the R4 FHIR version, unless the feature or bug fix is considered for a specific version of FHIR then branch from the relevant branch which at this point is stu3/master.
See GitHub flow for more information.