dokploy

Dokploy addresses the need for a robust open source alternative to popular deployment platforms like Vercel, Netlify, and Heroku, making it particularly valuable for ML and AI teams looking for a flexible, self-hosted option. With a maturity level suitable for production use, it allows engineers to manage deployments efficiently while maintaining control over their infrastructure. The impressive growth trend of 38.8% over 287 days, with an increase of 10,285 stars, serves as social proof of its effectiveness and relevance in the current landscape. However, it may not be the right choice for teams seeking a fully managed service or those with minimal DevOps capabilities, as it requires a degree of setup and maintenance.

This is a strong choice for teams that require a customisable, production-ready solution for managing deployments in ML and AI projects. Teams should consider alternatives if they prefer a fully managed service or lack the resources to maintain a self-hosted environment.

Dokploy is ideal for backend engineers, DevOps specialists, and ML/AI developers who need a reliable open source tool for engineering teams. It is commonly used in products and systems that require efficient deployment and management of machine learning models and AI applications.

Latest commit: 2026-08-21. Over the past 286 days, this repository gained 10.3k stars (+38.8% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.