Supported tags and respective
For more information about this image and its history, please see the relevant manifest file (
library/perl). 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/perl/tag-details.md file in the
docker-library/repo-info GitHub repo.
What is Perl?
Perl is a high-level, general-purpose, interpreted, dynamic programming language. The Perl language borrows features from other programming languages, including C, shell scripting (sh), AWK, and sed.
How to use this image
Dockerfile in your Perl app project
FROM perl:5.20 COPY . /usr/src/myapp WORKDIR /usr/src/myapp CMD [ "perl", "./your-daemon-or-script.pl" ]
Then, build and run the Docker image:
$ docker build -t my-perl-app . $ docker run -it --rm --name my-running-app my-perl-app
Run a single Perl script
For many simple, single file projects, you may find it inconvenient to write a complete
Dockerfile. In such cases, you can run a Perl script by using the Perl Docker image directly:
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp perl:5.20 perl your-daemon-or-script.pl
View license information for the software contained in this image.
Supported Docker versions
This image is officially supported on Docker version 1.13.0.
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
perl/ 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.