Pde Solver Python Packages

exponax

Efficient Differentiable n-d PDE Solvers in JAX.

pympdata

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab

physai

PhysAI is an open-source, multi-backend framework for solving partial differential equations with Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNOs), and Unified Spectral Element architectures. Has 57 pre-configured residuals and a built-in packaged numerical solver for most geometries and equations.

marimo-flow

Agentic scientific-computing platform: a reactive multi-agent team that orchestrates PINA physics-informed neural-network workflows via pydantic-graph, with MLflow tracing/provenance and a marimo chat UI (plus A2A & AG-UI servers).

phiflow

A differentiable PDE solving framework for machine learning

pympdata-examples

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab

pinnstudio

A No-Code Scientific Computing Environment for Forward and Inverse Physics-Informed Neural Networks

solidspy

2D-Finite Element Analysis with Python

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

heatrapy

Python library for simulating heat transfer processes

dedekind

Dedekind is a high-performance, differentiable programming language for scientific computing and machine learning. It features compile-time physical units, automatic differentiation, built-in solvers, and GPU/TPU acceleration.

derivatives-pricing

A Python library for options pricing and Greeks computation.

velesquant

Quant libraty with pricing power of C++ wrapped inside python classes

pyfvtool

Finite volume toolbox in Python

solidspytest

2D-Finite Element Analysis with Python

idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

pydens

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

pararealml

A machine learning boosted parallel-in-time differential equation solver framework.

pde-rk

Functions for simulating one-dimensional PDE models using an adaptive Runge-Kutta scheme

fastfd

A library for building finite difference simulations

jax-dips

JAX-DIPS is a differentiable interfacial PDE solver.