Build data pipelines,
the easy way

No frameworks. No YAML. Just write Python and R code in notebooks.

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Play buttonOrchest graphical user interface.
Collection of Data Science tools & frameworks

Interactive data science with Orchest

Build pipelines iteratively by editing and connecting notebooks and scripts.

1
Build
Visual pipeline editor
Interactively build your data science pipelines in our visual pipeline editor.
2
Code
Code in Notebooks
Easily make your notebooks executable by marking which cells to skip during pipeline runs.
3
Schedule execution
Jobs
Parameterize your pipelines and run them periodically.
4
Dependencies
Environments
Install language or system packages you need the way you're used to.

Orchest is being used by data scientists working at

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Get started on your machine
Orchest is
open source
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Free and open source
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Community focused
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Runs locally & on cloud instances
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Support for Windows, Mac and Linux
Built for scale
Managed
cloud version
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No installation required
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On top of your existing AWS, GCP or Azure subscription
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Automatic updates
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Multi cloud focus

We’re building the data science platform that will run seamlessly on top of existing public and private cloud environments.

Cloud vendors: Azure, AWS and GCP