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.

derivative

Optimal numerical differentiation of noisy time series data in python.

palantir

Single cell trajectory detection

jacobi

Numerical derivatives for Python

hyperjet

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

eigh

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

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.

tangent-ad

Source-to-Source Debuggable Derivatives in Pure Python

wlsqm

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

autodiff

A simple framework for doing automatical differentiation

hypergraph

Reversed mode second order automatic differentiation for python (WIP)

pystemfinder

A suite of computation metrics to infer differentiation status and fate potential from single cell omics data

eigh-cuda128

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

eigh-cuda120

Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.

delta-dx

A Symbolic Differentiator

primelab

Optimal numerical differentiation of noisy time series data in python.

numpy-fracdiff

Fractional differentiation as numpy function

autograd-latest

Efficiently computes derivatives of NumPy code.

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.