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PyXLL

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SciPy

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PyXLL vs SciPy: What are the differences?

Developers describe PyXLL as "The Python Add-In for Microsoft Excel". Integrate Python into Microsoft Excel Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python.

Works with all 3rd party and open source Python packages. No need to write any VBA!. On the other hand, SciPy is detailed as "Scientific Computing Tools for Python". Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

PyXLL and SciPy can be categorized as "Data Science" tools.

SciPy is an open source tool with 6.13K GitHub stars and 2.9K GitHub forks. Here's a link to SciPy's open source repository on GitHub.

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Pros of PyXLL
Pros of SciPy
  • 5
    Fully replace VBA with Python
  • 2
    Excellent support
  • 1
    Very good performance
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    Cons of PyXLL
    Cons of SciPy
    • 1
      Cannot be deloyed to mac users
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      What is PyXLL?

      Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!

      What is SciPy?

      Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention PyXLL and SciPy as a desired skillset
      What companies use PyXLL?
      What companies use SciPy?
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      What tools integrate with PyXLL?
      What tools integrate with SciPy?
      What are some alternatives to PyXLL and SciPy?
      xlwings
      Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!
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      Build live streaming dashboards and complex mathematical models, all in Excel. You can use DataNitro to turn a spreadsheet into a database GUI - or a web server backend.
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      jQuery
      jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
      React
      Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
      See all alternatives