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About

SymPy is a Python library for symbolic mathematics. It aims to become
a full-featured computer algebra system (CAS) while keeping the code
as simple as possible in order to be comprehensible and easily
extensible. SymPy is written entirely in Python.

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Why SymPy

SymPy is...

  * Free: Licensed under BSD, SymPy is free both as in speech and as
    in beer.
  * Python-based: SymPy is written entirely in Python and uses Python
    for its language.
  * Lightweight: SymPy only depends on mpmath, a pure Python library
    for arbitrary floating point arithmetic, making it easy to use.
  * A library: Beyond use as an interactive tool, SymPy can be
    embedded in other applications and extended with custom
    functions.

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Projects using SymPy

This is an (incomplete) list of projects that use SymPy. If you use
SymPy in your project, please let us know on our mailinglist, so that
we can add your project here as well.

  * Cadabra: Tensor algebra and (quantum) field theory system using
    SymPy for scalar algebra.
  * ChemPy: A package useful for chemistry written in Python.
  * devito: A symbolic DSL and just-in-time compiler for high
    performance stencil computation.
  * EinsteinPy: A Python package for symbolic and numerical General
    Relativity.
  * galgebra: Geometric algebra (previously sympy.galgebra).
  * LaTeX Expression project: Easy LaTeX typesetting of algebraic
    expressions in symbolic form with automatic substitution and
    result computation).
  * Lcapy: Experimental Python package for teaching linear circuit
    analysis.
  * OctSymPy: A Symbolic Package for Octave using SymPy.
  * Optlang: A Python package for solving mathematical optimization
    problems.
  * PyDy: Multibody dynamics in Python.
  * pyneqsys: Solve symbolically defined systems of non-linear
    equations numerically.
  * pyodesys: Straightforward numerical integration of ODE systems
    from Python.
  * PyTorch TorchInductor: TorchInductor uses SymPy to support
    dynamic shapes and strides.
  * QMCPACK: Quantum Monte Carlo in C++. Sympy is used to generate
    reference values for unit tests and some code generation.
  * Quantum Programming in Python: Quantum 1D Simple Harmonic
    Oscillator and Quantum Mapping Gate.
  * SageMath: Open source mathematics system that includes SymPy.
  * Scikit-fdiff: Finite differences discretization.
  * SfePy: Simple finite elements in Python.
  * Spyder: The Scientific Python Development Environment, a Python
    equivalent to Rstudio or MATLAB; full SymPy support can be
    enabled in Spyder's IPython Consoles.
  * Symbolic statistical modeling: Adding statistical operations to
    complex physical models.
  * yt: Python package for analyzing and visualizing volumetric data
    (unyt, the yt unit system, uses SymPy).

 

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News

May 10, 2023 Version 1.12 released (changes)

Dec 12, 2020 Version 1.7.1 released (changes)

Nov 29, 2020 Version 1.7 released (changes)

Aug 9, 2020 Version 1.6.2 released (changes)

Jul 2, 2020 Version 1.6.1 released (changes)

May 24, 2020 Version 1.6 released (changes)

Dec 21, 2019 Version 1.5.1 released (changes)

Dec 9, 2019 Version 1.5 released (changes)

Apr 10, 2019 Version 1.4 released (changes)

Copyright (c) 2023 SymPy Development Team.

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