mitchglass97 / orchest

A new kind of IDE for Data Science.

Website — Docs — Quickstart

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Orchest is a browser based IDE for Data Science. It integrates your favorite Data Science tools out of the box, so you don’t have to. The application is easy to use and can run on your laptop as well as on a large scale cloud cluster.

A preview of creating pipelines in Orchest. Watch the full video to learn more.

Features

Orchest lets you:

• Visually construct pipelines.
• Write code using JupyterLab.
• Write code using any other editor of choice.
• Run any subset of a pipeline.
• Skip certain cells when executing a notebook top-to-bottom.
• Parametrize your data science pipelines to try out different modeling ideas.
• Integrate commonly used data-sources.
• Easily define your custom runtime environment.
• Version your pipelines through Git.

Check out the overview in our docs!

Installation

NOTE: Orchest is in alpha.

For GPU support, language dependencies other than Python, and other installation methods, such as building from source, please refer to our installation docs.

Requirements

• Docker

If you do not yet have Docker installed, please visit https://docs.docker.com/get-docker/.

Linux, macOS and Windows

NOTE: On Windows, Docker has to be configured to use WSL 2. Make sure to clone Orchest inside the Linux environment. For more info and installation steps for Docker with WSL 2 backend, please visit https://docs.docker.com/docker-for-windows/wsl/.

git clone https://github.com/orchest/orchest.git && cd orchest
./orchest install

# Verify the installation.
./orchest --help

# Start Orchest.
./orchest start

Now that you have installed Orchest, get started with our quickstart tutorial or check out pipelines made by your fellow users.

License

The software in this repository is licensed as follows:

• All content residing under the "orchest-sdk/" directory of this repository is licensed under the "Apache-2.0" license as defined in "orchest-sdk/LICENSE".
• Content outside of the above mentioned directory is available under the "AGPL-3.0" license.

We love your feedback

We would love to hear what you think and add features based on your ideas. Come chat with us on our Slack Channel or open an issue on GitHub.

Contributing

Contributions are more than welcome! Please see our contributor guides for more details.

Not sure where to start? Book a free, no-pressure pairing session with one of our core contributors.

Contributors