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.
See: Skipping notebook cells.¶
See: Parametrizing your pipeline and steps.¶
See: Environment variables.¶
See: Running a job.¶