Alternatives and similar repositories for mystic

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

• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆276Updated 2 months ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated 3 months ago
• SALib / SALib
  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
  ☆962Updated 2 weeks ago
• coin-or / rbfopt
  RBFOpt library for black-box optimization
  ☆196Updated 8 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• coin-or / CyLP
  A Python interface to CLP, CBC, and CGL to solve LPs and MIPs.
  ☆192Updated last week
• cjekel / piecewise_linear_fit_py
  fit piecewise linear data for a specified number of line segments
  ☆345Updated 4 months ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 3 years ago
• numba / numba-scipy
  numba_scipy extends Numba to make it aware of SciPy
  ☆275Updated last year
• naught101 / sobol_seq
  python implementation of Sobol' sequence generator
  ☆67Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated last month
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated last week
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 2 months ago
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆214Updated 4 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 10 months ago
• paulknysh / blackbox
  A Python module for parallel optimization of expensive black-box functions
  ☆446Updated last month
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,027Updated last month
• tisimst / mcerp
  Real-time latin-hypercube sampling-based Monte Carlo ERror Propagation
  ☆81Updated 2 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆467Updated 2 years ago
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆511Updated last year
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• esa / pagmo
  A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island…
  ☆273Updated 5 years ago
• pydata / sparse
  Sparse multi-dimensional arrays for the PyData ecosystem
  ☆652Updated last week
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆251Updated 9 months ago
• lmfit / uncertainties
  Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
  ☆644Updated 2 months ago
• BYU-PRISM / GEKKO
  GEKKO Python for Machine Learning and Dynamic Optimization
  ☆679Updated last month
• aarongarrett / inspyred
  Python library for bio-inspired computational intelligence
  ☆201Updated last year
• tBuLi / symfit
  Symbolic Fitting; fitting as it should be.
  ☆244Updated last year
• espdev / csaps
  Cubic spline approximation (smoothing)
  ☆173Updated 3 months ago
• EelcoHoogendoorn / Numpy_arraysetops_EP
  Numpy group_by and set-operations
  ☆212Updated 2 years ago