Pde Python Packages

scikit-fem

Simple finite element assemblers

findiff

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

deepxde

A library for scientific machine learning and physics-informed learning

exponax

Efficient Differentiable n-d PDE Solvers in JAX.

pdequinox

Neural Emulator Architectures in JAX.

trainax

Neural Emulator Architectures in JAX.

apebench

[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)

semiflow-pde

Fast no_std Rust library for evolution equations and PDEs via Chernoff approximation of operator semigroups — heat, Schrödinger, diffusion, graph & manifold operators. Bindings for C, Python, and WebAssembly.

devsim

TCAD Semiconductor Device Simulator

felupe

Open finite element infrastructure for nonlinear computational mechanics.

pina-mathlab

Physics-Informed Neural networks for Advanced modeling

layercake-model

LayerCake is a framework to design systems of partial differential equations (PDEs), and convert them to ordinary differential equations (ODEs) via Galerkin-type expansions.

sympde

Symbolic calculus for partial differential equations (and variational forms)

opinf

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

jaxdf

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

pyfvm

Finite volume discretization tools for Python.

phaethon

End-to-End Physics-Constrained Scientific Computing & Sci-ML Framework

rom-operator-inference

Operator inference for data-driven, non-intrusive model reduction of dynamical systems.

tensormesh-fem

Differentiable Finite Element Method Library for PyTorch

unitflex

End-to-End Physics-Constrained Scientific Computing & Sci-ML Framework

pyfrp

PyFRAP: A Python based FRAP analysis tool box

pyro-hydro

A framework for hydrodynamics explorations and prototyping

imscript

a collection of small and standalone utilities for image processing, written in C

pinnrl

Physics-Informed Neural Networks with RL-based adaptive sampling for solving PDEs