Top DEPLOY GitHub Repositories & Tools (2026)

GitOps Environment Promotion tool that lets you focus on the "what," not the "how"

Self-hosted Docker Compose management platform. For single or multi-host compose-first workflow.

The open-source Render alternative — AI-native. Git push → build → deploy on your own infrastructure; agents are first-class users.

Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.

Write your pipelines in C# !

Rack for JRuby and Java appservers

Netlify Build (node process) runs the build command, Build Plugins and bundles Netlify Functions. Can be run in Buildbot or locally using Netlify CLI

LingFrame: A JVM Runtime Security Governance Solution for Long-Running Systems. It implements modular isolation and zero-trust permission control to deliver automatic method-level full-link tracing, security auditing, and zero-downtime canary releases.

A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨

Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The easiest way to self-host projects on your own server. Connect your AI agent and let it deploy, maintain and manage multiple projects on any stack, while keeping your server organized and under control. Easy for anyone, not just sysadmins.

Simple tool for deploy Rails apps

French-army-knife Toolbox for Salesforce. Orchestrates base commands and assist users with interactive wizards to make much more than native Salesforce CLI + Allows you to define a complete CI/CD Pipeline and Schedule a daily Metadata backup & monitoring of your orgs + AI-enhanced org Documentation

A developer CLI for working with Azure resources to build and deploy AI applications. Commands map to key workflow stages: code, build, deploy, and monitor.