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 our quickstart tutorial or have a look at our video tutorials explaining some of Orchest's core concepts.
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:
For macOS
and 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-sdk/
and orchest-cli/
directories of this repository
are licensed under the Apache-2.0
license as defined in orchest-sdk/LICENSE
and
orchest-cli/LICENSE
respectively.AGPL-3.0
license.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! 🔥