How to turn my data processing code into a pipeline?

• ploomber

  86 2,599 9.8 Python

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  

  If you're working with .py or .ipynb I recommend ploomber, there's lots of flexibility on the input/output formats and you can interactively check out your data and work with Git. There's also an automatic tool that converts it to a pipeline for you via the H2 headings.

• soorgeon

  3 55 9.1 Python

  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊

  

  If you're working with .py or .ipynb I recommend ploomber, there's lots of flexibility on the input/output formats and you can interactively check out your data and work with Git. There's also an automatic tool that converts it to a pipeline for you via the H2 headings.

• Scout APM

  scoutapm.com

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  Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  

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