Data scientists who use Python - what's your approach to documentation?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience
Mkdocs docstring Theme Documentation Markdown

SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • lazydocs

    📖 Generate markdown API documentation from Google-style Python docstring. The lazy alternative to Sphinx.

    • I use Google-style docstrings for functions/classes and then lazydocs to generate Markdown files.

  • mkdocs-material

    Documentation that simply works

    • We swapped to using mkdocs-material. Faster, cleaner, simpler, better.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo
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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