qnm
qnm: A Python package for calculating Kerr quasinormal modes, separation constants, and spherical-spheroidal mixing coefficients - Published in JOSS (2019)
Gridap
Gridap: An extensible Finite Element toolbox in Julia - Published in JOSS (2020)
Bodge
Bodge: Python package for efficient tight-binding modeling of superconducting nanostructures - Published in JOSS (2024)
`NGSTrefftz`
`NGSTrefftz`: Add-on to NGSolve for Trefftz methods - Published in JOSS (2022)
(py)oscode
(py)oscode: fast solutions of oscillatory ODEs - Published in JOSS (2020)
MOLE
MOLE: Mimetic Operators Library Enhanced - Published in JOSS (2024)
FeenoX
FeenoX: a cloud-first finite-element(ish) computational engineering tool - Published in JOSS (2024)
VlaPy
VlaPy: A Python package for Eulerian Vlasov-Poisson-Fokker-Planck Simulations - Published in JOSS (2020)
GORILLA
GORILLA: Guiding-center ORbit Integration with Local Linearization Approach - Published in JOSS (2023)
OptimalControl
Model and solve optimal control problems in Julia, both on CPU and GPU.
scimlbook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
fronts
Numerical library for nonlinear diffusion problems in semi-infinite domains
pydiffgame
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
FdeSolver
FdeSolver.jl: A Julia package for the numerical solution of fractional differential equations (FDEs) as well as systems of equations.
Adapode
Adaptive P/ODE numerics with Grassmann element TensorField assembly
pygpe
Library for numerically solving the Gross-Pitaevskii equations for scalar, two-component, spin-1, and spin-2 Bose-Einstein condensate systems.
https://github.com/juliaquantumcontrol/krotov.jl
Julia implementation of Krotov's method for quantum optimal control
torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
desolver
A Python library for solving Initial Value Problems using various numerical integration methods.
https://github.com/google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
https://github.com/armandomtz05/optikit
Solution of the paraxial wave equations using different coordinates systems
https://github.com/cossio/truncatednormal.jl
Compute mean and variance of the univariate truncated normal distribution (works far from the peak).
https://github.com/blackholeperturbationtoolkit/qnm
Python package for computing Kerr quasinormal mode frequencies, separation constants, and spherical-spheroidal mixing coefficients
dumux
DuMux: an open-source simulator for flow and transport processes in porous media (repository mirrored from https://git.iws.uni-stuttgart.de/dumux-repositories/dumux.git)
https://github.com/areenberg/tranqnet
Numerically evaluate any transient M/M/C/K queue or queueing network
https://github.com/comp-physics/awesome-modeling-simulation
Resources for learning about modeling and simulation
https://github.com/justwhit3/safd-algorithm
An app to compute the coefficients of a function development in a spherical harmonics convergent series.
soft_systems_course
Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.
fractional_numerical_methods
Este repositorio contiene métodos numéricos programados en Python para obtener soluciones aproximadas a ecuaciones diferenciales ordinarias fraccionarias
https://github.com/fernandezfran/metcomp
Resolución de ejercicios de la especialidad Métodos Computacionales usando librerías de Python (cusro de la Licenciatura en Química de la UNC)
https://github.com/daniel-furman/computational-mathematics
A collection of MATLAB scripts from undergraduate math classes. Focus on numerical methods and computational linear algebra.
sci-cpy
Scientific Computation Methods in C and Python (Open for Hacktoberfest)
https://github.com/akorkos/numerical-methods
Numerical methods made with Python
MRI-NUFFT
MRI-NUFFT: Doing non-Cartesian MRI has never been easier - Published in JOSS (2025)
bosss
BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method
NeuralFieldEq.jl
NeuralFieldEq.jl: A flexible solver to compute Neural Field Equations in several scenarios - Published in JOSS (2022)
lcd
Lyapunov Cycle Detector is a collection of algorithms destined to study the basins of attraction of rational maps (that is, the Fatou and Julia sets). In particular, the main focus of LCD is in the detection of attracting n-cycles of said rational map and in computing its basins.
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.
https://github.com/a-herzog/numericalode
Numerical differential equation solver visualized the numerical solution of ode
quantpde
A high-performance, open-source, header-only C++(>=11) library for pricing derivatives.
poisson-fast-mc
Fast Monte Carlo estimator for numerically solving a Poisson PDE.
