dokploy open source analysis

Open Source Alternative to Vercel, Netlify and Heroku.

Project overview

⭐ 26807 · TypeScript · Last activity on GitHub: 2025-11-16

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

Why it matters for engineering teams

Dokploy addresses the need for a reliable, self hosted deployment platform that supports both backend and frontend services, making it a practical choice for engineering teams managing complex applications across multiple databases like MariaDB, MongoDB, MySQL, and PostgreSQL. It offers a production ready solution that integrates with Docker and VPS environments, allowing teams to maintain control over their infrastructure without relying on proprietary cloud services. This open source tool for engineering teams is particularly suited to DevOps engineers and backend developers who require consistent deployment workflows and robust backup capabilities. While Dokploy is mature and stable enough for production use, it may not be the best fit for organisations seeking a fully managed service with minimal operational overhead, as it demands hands-on maintenance and infrastructure management.

When to use this project

Dokploy is a strong choice when teams need a self hosted option for deployment that supports a wide range of databases and custom backend setups. Teams should consider alternatives if they prefer a fully managed platform with less operational complexity or if they require extensive third-party integrations out of the box.

Team fit and typical use cases

DevOps engineers and backend developers benefit most from Dokploy, using it to streamline deployment pipelines and manage database backups across diverse environments. It is commonly used in projects where control over infrastructure and data is critical, such as internal tools, SaaS platforms, and custom web applications requiring a tailored deployment approach.

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: 2025-11-16. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.