Looking at these side-by-side randomly generated visualizations, neither of them seem substantively different from a distribution perspective. All to say, when generating a random color palette, there probably wasn't any need for me to use the Crypto module—I probably should have just stuck with Math. It's much faster and feels to be just as random. I'll leave the Crypto stuff to any client-side cryptography work (which I've never had to do).

Examples of floating point problems 

  <MathJax sanitizeOptions={ {USE_PROFILES: {html: true,mathMl: true}}} style={{'display':'inline-block'}} math={this.props.question.title} />

MathSharp is a vector and matrix library written in C# using hardware intrinsics. Thanks to hardware acceleration, MathSharp is significantly faster than most mathematics libraries out there, but only supports .NET Core 3.0 and up. 

A .NET Standard 2.1 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders 

MathJax is an open-source JavaScript display engine for LaTeX, MathML, and AsciiMath notation that works in all modern browsers 

R is decidedly the most popular statistical/data analysis language in use today. R Tools for Visual Studio brings together the power of R and Visual Studio in a convenient and easy to use plug-in that’s free and Open Source 

Introducing JavaScript's Math Functions