Note: this is the "per-architecture" repository for the arm32v5 builds of the matomo official image -- for more information, see "Architectures other than amd64?" in the official images documentation and "An image's source changed in Git, now what?" in the official images FAQ.
Maintained by:
Matomo (a Matomo community contributor)
Where to get help:
the Docker Community Slack, Server Fault, Unix & Linux, or Stack Overflow
Dockerfile linksWhere to file issues:
https://github.com/matomo-org/docker/issues
Supported architectures: (more info)
amd64, arm32v5, arm32v6, arm32v7, arm64v8, i386, ppc64le, riscv64, s390x
Published image artifact details:
repo-info repo's repos/matomo/ directory (history)
(image metadata, transfer size, etc)
Image updates:
official-images repo's library/matomo label
official-images repo's library/matomo file (history)
Source of this description:
docs repo's matomo/ directory (history)
Matomo (formerly Piwik) is the leading open-source analytics platform that gives you more than just powerful analytics:
You can run the Matomo container and service like so:
docker run -d --link some-mysql:db arm32v5/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 -p 8080:80 --link some-mysql:db -v matomo:/var/www/html arm32v5/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:
dbAnd leave the rest as default.
Then you can continue the installation with the super user.
The following environment variables are also honored for configuring your Matomo instance:
MATOMO_DATABASE_HOSTMATOMO_DATABASE_ADAPTERMATOMO_DATABASE_TABLES_PREFIXMATOMO_DATABASE_USERNAMEMATOMO_DATABASE_PASSWORDMATOMO_DATABASE_DBNAMEThe PHP memory limit can be configured with the following environment variable:
PHP_MEMORY_LIMITA 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:3-alpine python /var/www/html/misc/log-analytics/import_logs.py --url=http://ip.of.your.matomo.example --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: https://github.com/matomo-org/docker/issues.
This product includes GeoLite data created by MaxMind, available from https://www.maxmind.com. https://blog.maxmind.com/2019/12/18/significant-changes-to-accessing-and-using-geolite2-databases/
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.