Cost / License
- Freemium
- Open Source (Apache-2.0)
Application types
Platforms
- Online
- Self-Hosted
- Software as a Service (SaaS)




Flynn is described as 'Open-source PaaS (Platform-as-a-Service) inspired by Heroku that simplifies deploying and maintaining applications' and is an app. There are more than 10 alternatives to Flynn for a variety of platforms, including Self-Hosted, Web-based, SaaS, Linux and Mac apps. The best Flynn alternative is Coolify, which is both free and Open Source. Other great apps like Flynn are Heroku, CapRover, Easypanel and Dokku.




Heroku is a platform as a service (PaaS) that enables developers to build, run, and operate applications entirely in the cloud.

CapRover is an extremely easy to use app/database deployment & web server manager, PaaS, for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications!




Modern server control panel using Docker for deploying Node.js, Ruby, Python, PHP, Go, and Java applications, offering quick templates, process monitoring, resource analytics, SSL management, and containerized isolation for simplified server and app control.



Kubero is a fully self-hosted Internal Developer Platform (IDP) that brings the workflows of Heroku to your Kubernetes cluster. It enables you to deploy your applications with a few clicks on the Dashboard or by CLI.




Qovery is the first Container as a Service (CaaS) platform that allows any developer to deploy an application in just a few seconds.
Porter is an alternative to Heroku that runs in your own cloud (AWS, GCP, DigitalOcean, etc). Get started on Porter without the overhead of DevOps and fully customize your infra later when you need to.




Koyeb is the serverless company delivering a next-generation platform to quickly deploy and run apps globally.

Ptah.sh is a great choice for anyone who wants to manage and deploy services on their own infrastructure.



OpenFaaS® makes it easy for developers to deploy event-driven functions and microservices to Kubernetes without repetitive, boiler-plate coding. Package your code or an existing binary in a Docker image to get a highly scalable endpoint with auto-scaling and metrics.


