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Orchest vs Metaflow: What are the differences?
What is Orchest? An open source tool for creating data science pipelines. It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster.
What is Metaflow? Build and manage real-life data science projects with ease. It is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. It was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
Orchest and Metaflow can be primarily classified as "Data Science" tools.
Some of the features offered by Orchest are:
- Visual pipeline editor
- Executable notebooks
- Open source
On the other hand, Metaflow provides the following key features:
- End-to-end ML Platform
- Model with your favorite tools
- Powered by the AWS cloud
Metaflow is an open source tool with 3.53K GitHub stars and 284 GitHub forks. Here's a link to Metaflow's open source repository on GitHub.
