SfePy is a finite element software package written primarily in Python for solving systems of coupled partial differential equations in 1D, 2D, and 3D.
It can be used as a black-box PDE solver, or as a Python package for building custom finite element applications. Problems are described with input files that define equations, boundary conditions, function spaces, variables, regions, and other ingredients of the finite element formulation.
This is free and open source software.
Key Features
- Solves coupled partial differential equations using the finite element method.
- Supports 1D, 2D, and 3D finite element problems.
- Can be used as a command-line solver or imported as a Python package.
- Uses problem definition files to describe equations, materials, regions, boundary conditions, and solvers.
- Includes a collection of examples, tutorials, and documentation for learning finite element workflows.
- Supports standard mesh and result formats including legacy VTK and HDF5 output.
- Built primarily on NumPy and SciPy.
Website: github.com/sfepy/sfepy
Support:
Developer: Robert Cimrman and Contributors
License: BSD 3-Clause License
SfePy is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
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| scikit-learn | Machine learning library for Python |
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| SciPy | Ecosystem for mathematics, science, and engineering. |
| statsmodels | Statistical modeling and econometrics |
| SymPy | Library for symbolic mathematics |
| SageMath | Computer algebra system |
| patsy | Package for describing statistical models and to build design matrices |
| mpmath | Library for arbitrary-precision floating-point arithmetic |
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