wger-project/docker — Docker compose stack for wger deployment

Description and use

**Brief Summary**
wger-project/docker provides a ready‑to‑use Docker‑Compose stack that bundles all the services required to run the wger fitness‑tracking application. By containerising the database, web server, and auxiliary components, it makes deployments repeatable, automates routine operations, and improves overall platform reliability.

**Value**

• **Consistency:** A single docker-compose.yml defines the exact versions, network topology, and environment variables, eliminating “it works on my machine” gaps.
• **Speed:** New instances can be spun up with a single docker compose up, reducing setup time from days to minutes.
• **Reliability:** Containers isolate failures, simplify scaling, and enable straightforward health‑check monitoring, which translates to higher uptime for production workloads.

**Practical Adoption Path**

1. **Evaluation:** Clone the repository and run docker compose up -d in a sandbox environment; the stack exposes the wger API and web UI out‑of‑the‑box.
2. **Customization:** Override default settings via .env or additional compose files (e.g., to connect to an existing PostgreSQL instance or to add a reverse proxy).
3. **CI/CD Integration:** Incorporate the compose file into your pipeline (GitHub Actions, GitLab CI, etc.) to automate testing and staging deployments.
4. **Production Roll‑out:** Deploy the stack to a managed container host (Docker Swarm, Kubernetes via Kompose, or a cloud VM) and enable persistence for the database volume.

**Production Readiness**
The project scores 75/100 and shows strong OSS credentials: 304 GitHub stars, 130 forks, recent commits (last updated 2026‑05‑13), and active community engagement across nine topics. The primary language is Python, matching the wger codebase, and the Docker stack is well‑documented, making it suitable for a serious pilot. While no critical metadata risks are evident, a final review of the license, security scan results, and maintainer activity is recommended before full production adoption.

Problem

wger-project/docker helps make deployment and operations more repeatable.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• standardize deployment
• automate operations
• improve platform reliability

Evidence

Docker compose stack for wger deployment

Source