No frameworks. No YAML. Just write your data processing code directly in Python, R or Julia.
💡 Watch the full narrated video to learn more about building data pipelines in Orchest.
Note: Orchest is in beta.
When to use Orchest? Read it in the docs.
Get started with an example project:
👉 Check out the full list of example projects.
Want to skip the installation and jump right in? Then try out our managed service by clicking:
Linux we provide an automated convience script to install Orchest on
minikube. Run it with:
curl -fsSL https://get.orchest.io > convenience_install.sh bash convenience_install.sh
👉 For detailed instructions on how to deploy a self-hosted version, check out our installation docs.
The software in this repository is licensed as follows:
orchest-cli/directories of this repository are licensed under the
Apache-2.0license as defined in
Join our Slack to chat about Orchest, ask questions, and share tips.
Contributions are more than welcome! Please see our contributor guides for more details.
Alternatively, you can submit your pipeline to the curated list of Orchest examples that are automatically loaded in every Orchest deployment! 🔥