这是使用SymPy的项目的（不完整）列表。
- Cadabra：使用SymPy进行标量代数的Tensor代数和（量子）场论系统。
- ChemPy：一个用Python编写的实用化学软件包。
- EinsteinPy：用于符号和数值广义相对论的Python软件包。
- galgebra：几何代数（以前是sympy.galgebra）。
- LaTeX Expression project：以符号形式轻松进行LaTeX排版，以符号形式进行自动替换和结果计算。
- Lcapy：实验Python软件包，用于教授线性电路分析。
- OctSymPy：使用SymPy的Octave的符号包。
- Optlang：用于解决数学优化问题的Python软件包。
- PyDy：Python中的多体动力学。
- pyneqsys：用数字方式解决符号定义的非线性方程组。
- pyodesys：来自Python的ODE系统直接数值积分。
- Quameon：Python中的Quantum Monte Carlo。
- Quantum Programming in Python：Quantum 1D简单谐波振荡器和量子映射门。
- SageMath：包括SymPy的开源数学系统。
- Scikit-fdiff：有限差分离散化。
- SfePy：Python中的简单有限元。
- Spyder：科学的Python开发环境，相当于Rstudio或MATLAB的Python；可以在Spyder的IPython控制台中启用完全的SymPy支持。
- Symbolic statistical modeling：将统计运算添加到复杂的物理模型中。
- yt：用于分析和可视化体积数据的Python包（yy单位系统unyt，使用SymPy）。
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原文:
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.
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.
Quameon: Quantum Monte Carlo in Python.
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).