Ode Python Packages

heyoka

Python library for ODE integration via Taylor's method and LLVM

desolver

A Python library for solving Initial Value Problems using various numerical integration methods.

jaxsim

A differentiable physics engine and multibody dynamics library for control and robot learning.

scikit-sundae

Python bindings to SUNDIALS differential algebraic equation solvers

amici

High-performance sensitivity analysis for large ordinary differential equation models

gotranx

Next generation ODE translator

axiomize

Reproducible scientific modeling engine and agent skill pack: versioned Model IR with mandatory units, dimensional and numerical validation, calibration, uncertainty analysis, and portable export (SBML, CellML, Modelica) via CLI, REST and MCP. Install: pip install axiomize.

flode

Block-diagram dynamic system simulator with a web GUI

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.

solverz

A simulation modelling language

biomass

A Python Framework for Modeling and Analysis of Signaling Systems

opinf

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

pygoss

General ODE System Solver

pycotools

A Python Toolbox for COPASI

diffeqpy

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

pydgq

ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis. Py3.11-3.14.

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.

jaxonomy

JAX-native simulation engine for hybrid dynamical systems — block-diagram modeling, ODE/DAE solvers, events, acausal physics, and end-to-end autodiff (grad/vmap/jit).

autoreduce

Python based automated model reduction tool for obtaining reduced models of dynamical systems

torchlaplace

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

scipy-dae

Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.

solve-ivp-pint

ODE solver with unit support using Pint

rom-operator-inference

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

extensisq

Extend scipy.integrate with various methods for solve_ivp