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Finite Difference Python Packages

Python packages with the GitHub topic finite-difference. Sorted by relevance, with stars and monthly downloads.
maroba
findiff

Python package for numerical derivatives and partial differential equations in any number of dimensions.

74K 507 69
simpeg
discretize

Discretization tools for finite volume and inverse problems.

26K 198 37
wesselb
fdm

Estimate derivatives with finite differences

8K 17 3
stfc
psyclone

PSyclone is a source-to-source Fortran compiler designed to programmatically optimise, parallelise and instrument HPC applications via user-provided transformation scripts.

8K 133 34
devitocodes
devito

DSL and compiler framework for automated finite-differences and stencil computation

7K 694 254
fancompute
fdfdpy

Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics

1K 67 20
ipselium
nsfds2

Finite difference solver for Navier-Stokes equations

563 1 1
INTERA-Inc
pyvista-gridder

Mesh generation using PyVista

450 27 2
gpavanb1
splitfdm

1D Finite-Difference with AMR and steady-state solver using Newton and Split-Newton

345 2 0
gpavanb1
splitfxm

1D Finite-Difference/Volume with AMR and steady-state solver using Newton and Split-Newton with sparse Jacobian

311 6 0
olivertso
pdepy

Finite-difference methods for solving initial and boundary value problems of some linear partial differential equations.

176 10 1
stefanmeili
fastfd

A library for building finite difference simulations

148 36 6
carlobortolan
quantrs

Python bindings for a tiny library for quantitative finance (powered by Rust)

128 19 5
larsgeb
psvwave

P-SV wave propagation in 2D for FWI

101 85 11
vyastreb
reynoldsflow

Efficient finite-difference solver for the Reynolds equation in thin fluid films

82 7 0
ghbrown
taylor

Generic derivative objects (gradients, Jacobians, Hessians, and more) by finite differences

79 0 0
draktr
findi-descent

FinDi: Finite Difference Gradient Descent can optimize any function, including the ones without analytic form, by employing finite difference numerical differentiation within a gradient descent algorithm

66 0 0
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