How do you build and send reports to your users?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/dataengineering

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  • datapane

    Datapane is the easiest way to create data science reports from Python.

    Thanks for the mention - I'm one of the people building datapane. Our Python framework (https://github.com/datapane/datapane) allows you to programmatically create reports from data, plots, and markdown which you can share -- from within your pipeline or from a local notebook/script.

  • rmarkdown

    Dynamic Documents for R

    If you're not already aware of and using RMarkdown, make learning it a priority. I use both R and Python extensively. Although Jupyter Notebooks have utility, RMarkdown is the superior tool for the most flexibility in reporting.

  • Scout APM

    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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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