Exploratory Data Analysis with F#, Plotly.NET, and ML.NET DataFrames

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • interactive

    .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

  • All of this will be accomplished inside of a single Polyglot Notebook. If you're not familiar with Polyglot Notebooks, they're a technology built on top of Jupyter Notebooks that allow you to use additional language kernels, including a F# Kernel. This lets you run interactive data science experiments in a single notebook as shown here in VS Code:

  • Plotly.NET

    interactive graphing library for .NET programming languages :chart_with_upwards_trend:

  • There are many charting options for .NET in a Polyglot Notebook, including ScottPlot, the older XPlot Library, and Plotly.NET. I'm a big fan of Plotly for data visualization in Python, so I choose it when I can in other languages too. However, Plotly.NET is also becoming the defacto standard for data visualization in .NET notebooks.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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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