A new kind of IDE
for Data Science.

Supercharge your Data Science workflow.

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Pandas Python libraryR programming languageJupyter interactive computing environmentPython programming environmentscikit-learn machine learning toolkitPyTorch Deep Learning libraryMatplotlib Python plotting libraryTensorFlow Deep Learning library
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
Run
Executable 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 as jobs to iterate quickly and discover what works best in practice.

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
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Get started on GitHub
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
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