Differentiation Python Packages

autograd

Efficiently computes derivatives of NumPy code.

uncertainties

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

jacobi

Numerical derivatives for Python

derivative

Optimal numerical differentiation of noisy time series data in python.

eigh

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

palantir

Single cell trajectory detection

hyperjet

Algorithmic differentiation with hyper-dual numbers in C++ and Python

autoneuronet

AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed and performance.

eigh-cuda128

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

hypergraph

Reversed mode second order automatic differentiation for python (WIP)

eigh-cuda120

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

autodiff

A simple framework for doing automatical differentiation

wlsqm

Weighted least squares meshless interpolator and differentiator. Py3.11-3.14.

delta-dx

A Symbolic Differentiator

numpy-fracdiff

Fractional differentiation as numpy function

ripples-sci

Ripples is a scientific computation library that aims to provide a unified, numerically accurate and easy to use framework for multi-discipline numerical work.

autograd-latest

Efficiently computes derivatives of NumPy code.

primelab

Optimal numerical differentiation of noisy time series data in python.