matomo

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Matomo is the leading open-source analytics platform that gives you more than powerful analytics.

GitHub repo: https://github.com/matomo-org/docker

Library reference

This content is imported from the official Docker Library docs, and is provided by the original uploader. You can view the Docker Store page for this image at https://store.docker.com/images/matomo

Supported tags and respective Dockerfile links

Quick reference

Matomo (formerly Piwik)

Build Status 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

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Usage

In keeping with a ‘pure’ micro-services approach, this image runs a Matomo service only (in the form of FastCGI). Because of that it must be used with companion containers which provide a database for data storage and HTTP to FastCGI proxy/translation services for the user interface.

Runtime

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.

You’ll now need to use a suitable reverse proxy to access the user interface; which is available on TCP port 9000. Nginx provides the necessary functions for translation between HTTP and FastCGI.

Matomo Installation

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: db
  • Login: root
  • Password: MYSQL_ROOT_PASSWORD
  • Database Name: piwik (or you can choose)

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

Contribute

Pull requests are very welcome!

We’d love to hear your feedback and suggestions in the issue tracker: github.com/motomo-org/docker/issues.

GeoIP

This product includes GeoLite data created by MaxMind, available from http://www.maxmind.com.

License

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 repo-info repository’s matomo/ directory.

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