Flynn vs Google AI Platform: What are the differences?

What is Flynn? Next generation open source platform as a service. Flynn lets you deploy apps with git push and containers. Developers can deploy any app to any cluster in seconds.

What is Google AI Platform? Create your AI applications once, then run them easily on both GCP and on-premises. Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

Flynn belongs to "Platform as a Service" category of the tech stack, while Google AI Platform can be primarily classified under "Machine Learning as a Service".

Some of the features offered by Flynn are:

• Flynn goes beyond 12 factor apps. Run any Linux process written in any language or framework, even stateful apps on your own servers or any public cloud.
• Scaling or adding a new cluster is simple: just add more nodes. Everything is containerized, Flynn takes care of distributing work across the cluster.
• Flynn is 100% free and open source. Flynn works great out of the box, and since Flynn is modular and API-driven it's easy to modify and swap components to suit your needs.

On the other hand, Google AI Platform provides the following key features:

• “No lock-in” flexibility
• Supports Kubeflow
• Supports TensorFlow

Flynn is an open source tool with 7.24K GitHub stars and 534 GitHub forks. Here's a link to Flynn's open source repository on GitHub.