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SymPy

SymPy is a Python library for symbolic computation.

SymPy Alternatives

The best SymPy alternatives based on verified products, votes, reviews and other factors.
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  1. A high-level language and interactive environment for numerical computation, visualization, and programming

  2. Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.

  3. Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

  4. GNU Octave is a programming language for scientific computing.

  5. Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

  6. Sage is a free open-source mathematics software system licensed under the GPL.

  7. Considered the leading mathematical software, Maple intertwines the world’s most advanced math engine with a user-friendly interface.

  8. wxMaxima is a document based interface for the computer algebra system Maxima.

  9. R is a free software environment for statistical computing and graphics.

  10. Xcos is a graphical editor to design hybrid dynamical systems models.

  11. PSPP is a free software application for analysis of sampled data.

  12. NumPy is the fundamental package for scientific computing with Python

  13. Tiny, powerful, free mathematical program with WYSIWYG editor and complete units of measurements support.

SymPy Reviews

External sources with reviews and comparisons of SymPy

4 open source alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
3 Open Source Alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python 2.7 or above. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
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This article was published on | Author: | Publisher: SaaSHub
Categories: Technical Computing, Numerical Computation, Math Solver