• latest, 4, 4.1, 4.1.0.1 (4.1.0.1/Dockerfile)
• 4.0, 4.0.1, 4.0.1.1 (4.0.1.1/Dockerfile)
• 4.0.0.4 (4.0.0.4/Dockerfile)

For more information about this image and its history, please see the relevant manifest file (library/fsharp). This image is updated via pull requests to the docker-library/official-images GitHub repo.

For detailed information about the virtual/transfer sizes and individual layers of each of the above supported tags, please see the repos/fsharp/tag-details.md file in the docker-library/repo-info GitHub repo.

F# (pronounced F sharp) is a strongly typed, multi-paradigm programming language that encompasses functional, imperative, and object-oriented programming techniques. F# is most often used as a cross-platform CLI language, but can also be used to generate JavaScript and GPU code.

wikipedia.org/wiki/F Sharp (programming language)

The most straightforward way to use this image is to use it both as the build and runtime environment. In your Dockerfile, you can write something similar to the following:

FROM fsharp
COPY . /app
RUN xbuild /app/myproject.sln

This will copy your application source code into the image and use xbuild to build it.

View the Apache 2.0 license for the software contained in this image.

This image is officially supported on Docker version 17.03.0-ce.

Support for older versions (down to 1.6) is provided on a best-effort basis.

Please see the Docker installation documentation for details on how to upgrade your Docker daemon.

If you have any problems with or questions about this image, please contact us through a GitHub issue. If the issue is related to a CVE, please check for a cve-tracker issue on the official-images repository first.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.

Documentation for this image is stored in the fsharp/ directory of the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.