Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

An interface to various automatic differentiation backends in Julia.

clad -- automatic differentiation for C/C++

Programming language for symbolic computation with unusual combination of pattern matching features: Tree patterns, associative patterns and expressions embedded in patterns.

xFunc provides a powerful parser and analyzer for mathematical expressions. It excels at calculating derivatives, simplifying expressions, and achieving high performance.

Differentiation on manifolds

Source Code Generation for Automatic Differentiation using Operator Overloading

Jupyter notebooks about Programming, Statistics and Math

This repository contains a Python implementation of numerical differentiation using Forward, Backward, and Centered methods with nth order derivatives. The code allows users to select the differentiation point, step size, method of differentiation, and the accuracy of the result.

Optimal numerical differentiation of noisy time series data in python.

Gorgonia is a library that helps facilitate machine learning in Go.

automatic differentiation library for Dart

Symbolic mathematics and calculus in C++.

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

The ultimate tool for basic and advanced calculus, including plotting, derivatives, limits, and more.

Symbolic mathematics and calculus in Ruby

automatic differentiation made easier for C++

Math.NET Numerics

Automatic differentiation playground

Single cell trajectory detection