Alternatives and similar repositories for paramonte

Users that are interested in paramonte are comparing it to the libraries listed below

• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆436Updated last week
• maroba / findiff
  Python package for numerical derivatives and partial differential equations in any number of dimensions.
  ☆475Updated 4 months ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆315Updated last month
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆236Updated 3 months ago
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆137Updated last year
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆318Updated this week
• sigma-py / quadpy
  Numerical integration (quadrature, cubature) in Python
  ☆774Updated 2 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆461Updated 2 months ago
• ralna / GALAHAD
  A library of modern Fortran modules for nonlinear optimization
  ☆145Updated this week
• DedalusProject / dedalus
  A flexible framework for solving PDEs with modern spectral methods.
  ☆568Updated last month
• LLNL / sundials
  Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcom…
  ☆567Updated this week
• mdolab / pyoptsparse
  pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…
  ☆244Updated last week
• hplgit / fdm-book
  Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen
  ☆169Updated 5 years ago
• SciML / diffeqpy
  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
  ☆565Updated 3 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆235Updated last year
• clawpack / riemann_book
  An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
  ☆275Updated 2 weeks ago
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆71Updated 2 years ago
• hplgit / num-methods-for-PDEs
  Lecture material on numerical methods for partial differential equations.
  ☆267Updated 4 years ago
• python-hydro / hydro_examples
  Simple one-dimensional examples of various hydrodynamics techniques
  ☆115Updated 4 years ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆89Updated last year
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆168Updated 2 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆117Updated last week
• spectralDNS / shenfun
  High performance computational platform in Python for the spectral Galerkin method
  ☆214Updated 5 months ago
• mandli / numerical-methods-pdes
  Jupyter notebook class notes for Numerical Methods for PDEs
  ☆144Updated 2 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 2 years ago
• python-hydro / pyro2
  A framework for hydrodynamics explorations and prototyping
  ☆314Updated 2 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆449Updated last year
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆241Updated this week
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆265Updated this week
• usnistgov / fipy
  FiPy is a Finite Volume PDE solver written in Python
  ☆551Updated this week