dokploy open source analysis

Open Source Alternative to Vercel, Netlify and Heroku.

Project overview

⭐ 27409 · TypeScript · Last activity on GitHub: 2025-12-01

GitHub: https://github.com/Dokploy/dokploy

Why it matters for engineering teams

Dokploy addresses the practical challenge of deploying and managing applications across various environments without relying on proprietary platforms. It offers a production ready solution for engineering teams seeking greater control over their deployment pipelines, supporting multiple databases and frameworks. This open source tool for engineering teams is particularly suited to backend developers, DevOps engineers, and full-stack teams who need a reliable, self hosted option for deployment on VPS or private infrastructure. Dokploy has matured into a stable platform with active maintenance and a strong user base, making it suitable for production use. However, it may not be the best choice for teams prioritising a fully managed service or those without the capacity to manage infrastructure, as it requires hands-on setup and ongoing maintenance.

When to use this project

Dokploy is a strong choice when teams require a flexible, self hosted option for deployment that integrates well with diverse databases and backend technologies. Consider alternatives if your priority is a fully managed, turnkey platform with minimal operational overhead.

Team fit and typical use cases

Backend engineers and DevOps specialists benefit most from Dokploy, using it to streamline deployment workflows and manage backups in production environments. It is commonly found in projects where control over infrastructure and data storage is critical, such as custom web applications and internal tools requiring robust database support and container orchestration.

Topics and ecosystem

backend backups databases deployment devops docker frontend mariadb mongodb mysql nextjs postgresql self-hosted vps

Activity and freshness

Latest commit on GitHub: 2025-12-01. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.