BOL

There's lots of tools for pipelines in Python. They are sophisticated that helps you decompose an analysis into parts and runs it robustly.

• Snakemake is my favourite. It's (nearly) pure Python and can generate reports.
• Nextflow is growing in popularity and is pretty straightforward
• Ruffus used to be reasonably popular, seemed fine when I used it
• Bpipe is for bioinformatics
• Airflow is a more industrial "big" solution but in wide use
  
  Other useful list of pipelines used in data science are at list of pipeline systems

If you like perl, have a look at this https://www.bu.edu/tech/files/2018/02/PerlTutSlides_2018Spring_1.pdf