Overview

With Orchest you get to:

• Easily define your custom runtime environment.

• 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.

• Define environment variables.

• Easily spin up services which lifetime spans across the entire pipeline run.

• Version your pipelines through git.

• Run your pipelines on a cron-like schedule.

Easily define your custom runtime environment

See: Environments.

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

See: Skipping notebook cells.

Parametrize your data science pipelines

See: Parametrizing your pipeline and steps.

Define environment variables

See: Environment variables.

Services

See: Services.

Version your pipelines through git

Run your pipelines on a cron-like schedule

See: Running a job.