Python libraries we like ❤️🐍

[last update : october 2023]

Below is a non-exhaustive list of the Python libraries we like and use !

• Numerical Methods:

  • Scipy : Optimisation, Algorithms, Statistics, Signal Processing, etc
  • D.E.A.P. Distributed Evolutionary Alghorithms in Python : Distributed Genetic Algorithms for Python
  • S.M.T. Surrogate Modeling Toolbox : Libraries for kriging, metamodels, sampling, Gaussian processes, covariances, etc.
  • SAlib : library for sensitivity analysis
  • Joblib / Pool / …

• Meshes and Geomtry:

  • Pyvista : A python wrapper for THE VTK library : « VTK for Humans ».
  • PyMeshFix : A python wrapper for the C++ MeshFix code by Marco Attene.
  • Tetgen : Another python wrapper for the C++ Tetgen code by Hang Si.
  • Trimesh : (Almost) pure Python library for reading and manipulating triangular meshes.
  • Pygmsh : Yet another python wrapper, for the famous Gmsh code, by C. Geuzaine and J.-F. Remacle

• Comfort, Energy Simulations and Meteorological data:

  • PyThermalComfort : for calculating various comfort indexes
  • PyEpw : A library for reading, writing, modifying and creating EPW files for EnergyPlus
  • eppy : Python interface for programming in the EnergyPlus language
  • MeteoStat : Global weather data with a simple and intuitive Python API !

• Maps:

  • pydeck : A python binding library for making spatial visualizations, with deck.gl under the hood.
  • dash-leaflet : Another python binding library fotr making custom maps, with Leaflet under the hood.

• Web:

  • Dash/Plotly : Dash is the original low-code framework for rapidly building data apps in Python. Perfect for building apps, web apps, etc.