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An open source tool for creating data science pipelines
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What is Orchest?

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.
Orchest is a tool in the Data Science Tools category of a tech stack.
Orchest is an open source tool with 4K GitHub stars and 252 GitHub forks. Here’s a link to Orchest's open source repository on GitHub

Who uses Orchest?


Orchest Integrations

Python, TensorFlow, R Language, Jupyter, and Pandas are some of the popular tools that integrate with Orchest. Here's a list of all 11 tools that integrate with Orchest.

Orchest's Features

  • Visual pipeline editor
  • Executable notebooks
  • Open source

Orchest Alternatives & Comparisons

What are some alternatives to Orchest?
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
See all alternatives

Orchest's Followers
12 developers follow Orchest to keep up with related blogs and decisions.