Alternatives and similar repositories for paramonte

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

• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆301Updated this week
• maroba / findiff
  Python package for numerical derivatives and partial differential equations in any number of dimensions.
  ☆496Updated 2 months ago
• mandli / numerical-methods-pdes
  Jupyter notebook class notes for Numerical Methods for PDEs
  ☆148Updated 3 months ago
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆108Updated 9 months ago
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆148Updated this week
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆231Updated 3 years ago
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆340Updated last week
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆97Updated 3 months ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆468Updated 5 months ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆343Updated 2 months ago
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆454Updated this week
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆72Updated 3 years ago
• clawpack / riemann_book
  An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
  ☆287Updated 2 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• jacobwilliams / slsqp
  Modern Fortran Edition of the SLSQP Optimizer
  ☆110Updated 10 months ago
• mdolab / pyoptsparse
  pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…
  ☆265Updated this week
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆130Updated last month
• hplgit / num-methods-for-PDEs
  Lecture material on numerical methods for partial differential equations.
  ☆280Updated 5 years ago
• python-hydro / pyro2
  A framework for hydrodynamics explorations and prototyping
  ☆331Updated last week
• hplgit / fdm-book
  Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen
  ☆179Updated 6 years ago
• Nicholaswogan / NumbaMinpack
  Python wrapper of Minpack (root finding) which can be called from within numba functions.
  ☆36Updated 8 months ago
• CUQI-DTU / CUQIpy
  ☆53Updated this week
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆100Updated 3 weeks ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆241Updated last week
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆86Updated last year
• python-hydro / hydro_examples
  Simple one-dimensional examples of various hydrodynamics techniques
  ☆122Updated 4 years ago
• dyscolab / numbakit-ode
  Leveraging numba to speed up ODE integration
  ☆74Updated 4 months ago
• PlasmaControl / DESC
  Stellarator Equilibrium and Optimization Suite
  ☆148Updated last week
• kb-press / ndsplines
  Multi-dimensional B-splines
  ☆35Updated 3 months ago
• ralna / GALAHAD
  A library of modern Fortran modules for nonlinear optimization
  ☆171Updated this week