matomoEstimated reading time: 5 minutes
Matomo is the leading open-source analytics platform that gives you more than powerful analytics.
GitHub repo: https://github.com/matomo-org/docker
Supported tags and respective
Where to file issues:
Matomo (a Matomo community contributor)
Matomo (formerly Piwik)
Matomo (formerly Piwik) is the leading open-source analytics platform that gives you more than just powerful analytics:
- Free open-source software
- 100% data ownership
- User privacy protection
- User-centric insights
- Customisable and extensible
How to use this image
You can run the Matomo container and service like so:
docker run -d --link some-mysql:db matomo
This assumes you’ve already launched a suitable MySQL or MariaDB database container.
Use a Docker volume to keep persistent data:
docker run -d --link some-mysql:db -v matomo:/var/www/html matomo
Once you’re up and running, you’ll arrive at the configuration wizard page. If you’re using the compose file, at the
Database Setup step, please enter the following:
- Database Server:
- Login: MYSQL_USER
- Password: MYSQL_PASSWORD
- Database Name: MYSQL_DATABASE
And leave the rest as default.
Then you can continue the installation with the super user.
Docker-compose examples and log import instructions
A minimal set-up using docker-compose is available in the .examples folder.
If you want to use the import logs script, you can then run the following container as needed, in order to execute the python import logs script:
docker run --rm --volumes-from="matomo_app_1" --link matomo_app_1 python:2-alpine python /var/www/html/misc/log-analytics/import_logs.py --url=http://ip.of.your.piwik --login=yourlogin --password=yourpassword --idsite=1 --recorders=4 /var/www/html/logs/access.log
Pull requests are very welcome!
We’d love to hear your feedback and suggestions in the issue tracker: github.com/motomo-org/docker/issues.
This product includes GeoLite data created by MaxMind, available from http://www.maxmind.com.
matomo images come in many flavors, each designed for a specific use case.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.
This image is based on the popular Alpine Linux project, available in the
alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.
This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn’t have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.
To minimize image size, it’s uncommon for additional related tools (such as
bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the
alpine image description for examples of how to install packages if you are unfamiliar).
View license information for the software contained in this image.
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
Some additional license information which was able to be auto-detected might be found in the
As for any pre-built image usage, it is the image user’s responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.library, sample, matomo