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Medama Medama

Stack

Analytics

Medama Analytics is an open-source project dedicated to providing self-hostable, cookie-free website analytics.

Image details

Architecture: amd64, arm64
Image size: 37 MB
User: medama-io

Source details

Stars: 638
Forks: 16
Language: Go
Updated: 8 days ago
Website: oss.medama.io/

Configuration

Type
Compose
Platform
linux
Image
ghcr.io/medama-io/medama:latest
Ports
8010:8080
Volumes
/app/data : /portainer/Files/AppData/Config/medama
Source

Template by xneo1·Source

Standalone Install

Select an install method, to see config/commands for deploying Medama

Installation method

Install on Portainer

Import all app templates into your Portainer instance, for easy 1-click deploys

  1. Ensure both Docker and Portainer are installed, and up-to-date
  2. Log into your Portainer web UI
  3. Under Settings → App Templates, paste the below URL
  4. Head to Home → App Templates, and the list of apps will show up
  5. Select Medama, fill in any config options, and hit Deploy

Template Import URL

https://raw.githubusercontent.com/Lissy93/portainer-templates/main/templates.json
Show Me demo
Original stackfile

The compose file this template deploys, straight from its repo:

services:
    medama:
        image: ghcr.io/medama-io/medama:latest
        ports:
            - "8010:8080"
        volumes:
            - /portainer/Files/AppData/Config/medama:/app/data
volumes:
    medama-data:

Or deploy it directly from the source:

git clone https://github.com/xneo1/portainer_templates
cd portainer_templates
docker compose -f Template/Stack/medama.yml up -d

More install options in our documentation, or see medama-io/medama for app-specific guidance.

<source media="(prefers-color-scheme: dark)" srcset="./.github/images/banner-dark.svg">
<source media="(prefers-color-scheme: light)" srcset="./.github/images/banner-light.svg">
<img alt="Medama: Cookie-free privacy-focused website analytics." src="https://raw.githubusercontent.com/medama-io/medama/HEAD/.github/images/banner-light.svg">

Website | Installation | Demo | Discord

Overview

Medama Analytics is an open-source project dedicated to providing self-hostable, cookie-free website analytics. With a lightweight tracker of less than 1KB, it aims to offer useful analytics while prioritising user privacy.

<a href="https://demo.medama.io" target="_blank">
    <img src="https://raw.githubusercontent.com/medama-io/medama/HEAD/.github/images/demo.png" alt="Demo Screenshot" width="70%" height="70%">
</a>

Features

  • 📊 Real-Time Analytics: Monitor website performance and user interactions instantly.

  • 🔒 Privacy-Focused: Lightweight tracker (<1KB) without cookies, IP addresses, or additional identifiers, ensuring compliance with GDPR, PECR, and other regulations.

  • 🧪 Easy To Integrate: OpenAPI-based server for effortless integration into personal or professional dashboards.

  • 💼 Self-Hostable: Simple, single-binary setup with no external dependencies, capable of running on VMs with 256MB memory for most small websites.

License

The /core and /dashboard directory is licensed under the Apache License 2.0. See the core LICENSE and dashboard LICENSE for more information.
The /tracker directory is licensed under the MIT License. See LICENSE for more information.

Serve Medama on your own domain behind Caddy, Nginx or Traefik. Fill in your domain and copy the result. It's a starting point, some apps need their own base URL or extra headers set too.

Proxying medama.example.com to http://medama:8080

Add this to your Caddyfile

medama.example.com {
	reverse_proxy http://medama:8080
}

Check the logs first

Nine times out of ten the logs tell you exactly what went wrong.

  • In Portainer, go to Containers, click the container, then Logs. Or run docker logs <container>
  • Exit codes help too: 137 means killed, usually out of memory. 126 or 127 means the command inside the image is broken.

Port already in use

If deployment fails with "Bind for 0.0.0.0:8010 failed: port is already allocated", something else on your server is using that port.

  • Find what's using it: sudo ss -tlnp | grep :8010
  • Stop the other service, or pick a different host port. In 8010:8080 only the left number is yours to change, the right one belongs to the app.

Running but the page won't load

The container is up but nothing appears in your browser.

  • Use your server's real IP: http://your-server-ip:8010. The 0.0.0.0 link Portainer shows isn't a real address.
  • Give it a minute after first deploy, medama can take a while to initialise.
  • Make sure your firewall allows the port, e.g. sudo ufw allow 8010

Permission denied on volumes

If the logs show "permission denied", the app can't write to its data folder on the host.

  • Fix the ownership: sudo chown -R 1000:1000 /portainer/Files/AppData/Config/medama

Image won't pull

Test the pull directly on the host: docker pull ghcr.io/medama-io/medama:latest

  • "manifest unknown" means the tag no longer exists. This template uses latest, so try pinning a specific version instead.
  • "toomanyrequests" is the Docker Hub rate limit. Log in with docker login to raise it.
  • "no space left on device" means a full disk. Reclaim space with docker system prune

"exec format error"

This means the image was built for a different CPU architecture than your server.

  • This image supports: amd64, arm64
  • Check yours with uname -m: x86_64 is amd64, aarch64 is arm64. Raspberry Pi and other ARM boards are the usual culprits.

Stack won't deploy

Compose stacks fail fast on small mistakes, and Portainer shows the reason just above the editor.

  • YAML only accepts spaces for indentation, a single tab breaks the whole file.

Raise an issue

Found something which isn't working as it should? Here's how to report it.

A Compose stack

Medama is a Compose stack, a set of containers defined in one file and brought up together by Portainer, then started and stopped as a single app.

The app image

An image is the app packed up ready to go, everything Medama needs bundled into one download. This template pulls ghcr.io/medama-io/medama:latest, which Docker fetches once (about 37 MB) and then starts your own copy from.

Where the image comes from

Docker pulls its images from registries, public libraries of ready-built apps. Medama's comes from the GitHub Container Registry, published by medama-io.

Version tags

The bit after the colon in the image name is the version tag. Here it's latest, which always points at the newest build, so a redeploy can bump you to a newer release without you asking. Pin a specific tag if you would rather stay on one version.

Which machines it runs on

Every image is built for particular CPU types. This one ships for amd64, arm64, so it runs on both regular x86 servers and ARM boards like a Raspberry Pi.

Ports

A port is the door the app answers on. A mapping like 8010:8080 means it's reachable on port 8010 of your server, where the left number is yours to change and the right one belongs to the app. Once it's running, open http://your-server-ip:8010 in a browser. It opens:

  • 8010:8080, likely the web interface

Volumes

A volume is where Medama keeps its files so they survive an update or a restart. Without one, anything it saves would sit inside the container and vanish the moment it's recreated. This template mounts:

  • /app/data from /portainer/Files/AppData/Config/medama on the host

Networking

Nothing custom is set, so Medama sits on Docker's default bridge network: its own private space that reaches the outside world only through the ports it publishes.

Container name

Once it's deployed, Portainer names the container medama. That's what you'll spot in the containers list and use in commands like docker logs medama.

Platform

The platform is linux, the kind of system the container is built to run on. Docker and Portainer handle this on a normal Linux server.

Portainer app templates

Zooming out, this whole page comes from a Portainer app template: a short recipe telling Portainer how to set Medama up. Add the template list to Portainer once, then deploying Medama is a click rather than a wall of config.