AutoDiff VS AngouriMath

Compare AutoDiff vs AngouriMath and see what are their differences.

AutoDiff

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions. (by alexshtf)
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AutoDiff AngouriMath
- 18
85 754
- 2.1%
0.0 5.4
about 1 year ago 3 months ago
C# C#
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AutoDiff

Posts with mentions or reviews of AutoDiff. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning AutoDiff yet.
Tracking mentions began in Dec 2020.

AngouriMath

Posts with mentions or reviews of AngouriMath. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-08.

What are some alternatives?

When comparing AutoDiff and AngouriMath you can also consider the following projects:

MathNet - Math.NET Numerics

Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing

MKL.NET - A simple cross platform .NET API for Intel MKL

GeometRi - Simple and lightweight computational geometry library for .Net

UnitConversion - Expansible Unit Conversion Library for .Net Core and .Net Framework

Jace - Jace.NET is a calculation engine for the .NET platform.

Rationals - 🔟 Implementation of rational number arithmetic for .NET with arbitrary precision.

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.