Numerical Differentiation Python Packages

derivative

Optimal numerical differentiation of noisy time series data in python.

optimagic

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.

estimagic

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.

qc-grid

Python library for numerical integration, interpolation, and differentiation on (molecular) grids.

algdiff

AlgDiff is a Python class implementing all necessary tools for the design, analysis, and discretization of algebraic differentiators. An interface to Matlab is also provided.

incline

Estimate Local Trend in a Noisy Time Series

numerica

Numerical analysis methods implemented in Python.

primelab

Optimal numerical differentiation of noisy time series data in python.

ndc

Numerical differentiation leveraging convolutions based on PyTorch

nanalysis

Numerical analysis algorithms

grid-tmp

Python library for numerical integration, interpolation, and differentiation on (molecular) grids.