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  5. PyXLL vs xlwings

PyXLL vs xlwings

OverviewComparisonAlternatives

Overview

xlwings
xlwings
Stacks36
Followers125
Votes0
GitHub Stars0
Forks2
PyXLL
PyXLL
Stacks8
Followers104
Votes8

PyXLL vs xlwings: What are the differences?

Introduction

PyXLL and xlwings are both Python libraries that are used to interact with Microsoft Excel. They allow users to write Python code that connects to Excel spreadsheets, manipulates data, and performs various tasks. However, there are key differences between PyXLL and xlwings that differentiate them from each other.

  1. Integration with Excel: PyXLL is designed to be seamlessly integrated with Excel, providing an Excel-like experience for users. It allows users to define functions and macros in Python and use them directly in Excel without any additional steps. On the other hand, xlwings focuses on providing a Pythonic interface to Excel, allowing users to automate Excel tasks using Python code, but with less integration with the Excel interface itself.

  2. Deployment: PyXLL provides a fully integrated deployment process that allows users to create standalone executables or installable Excel add-ins. This makes it easy to distribute Python code to users who may not have Python itself installed. In contrast, xlwings requires users to have Python and the xlwings library installed on their machines in order to run the code.

  3. Performance: PyXLL uses a highly optimized architecture that is designed for speed, making it a good choice for complex calculations and large data sets. It leverages features such as multi-threading and lazy evaluation to improve performance. On the other hand, xlwings is a lightweight library that focuses on simplicity and ease of use, but may not be as optimized for performance-intensive tasks.

  4. Compatibility: PyXLL supports both Windows and Mac operating systems, allowing users to write Python code that works on both platforms. It also supports Excel versions from 2007 onwards. In contrast, xlwings primarily focuses on Windows and Excel 2010 or later, with limited support for Mac and older Excel versions.

  5. VBA Integration: PyXLL provides seamless integration between Python and VBA (Visual Basic for Applications), allowing users to call Python functions from VBA code and vice versa. This makes it easy to combine the power of Python with the flexibility of VBA in Excel. xlwings also supports VBA integration, but it requires additional steps and manual configuration to set it up.

  6. Commercial vs Open-source: PyXLL is a commercial product that requires a license for commercial use. It offers additional features and support, making it a good choice for organizations that require professional support and advanced features. On the other hand, xlwings is an open-source library that is free to use, making it a popular choice for individual developers and smaller projects.

In summary, PyXLL provides seamless integration with Excel, offers a fully integrated deployment process, and focuses on performance and compatibility, with additional support for VBA integration. In contrast, xlwings provides a Pythonic interface to Excel, is lightweight and simple to use, and is open-source and free.

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Detailed Comparison

xlwings
xlwings
PyXLL
PyXLL

Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!

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!

Easy deployment: The receiver of an xlwings-powered spreadsheets only needs Python with minimal dependencies — or nothing at all when shipped with the Python runtime.;Cross-Platform: xlwings works with Microsoft Excel on Windows and Mac.;Plug-and-Play: No cumbersome installation of Excel add-ins or license keys.;Flexible: Works with pretty much every combination of Excel and Python.;Two way communication: Call Python from Excel or interact with Excel from Python.;Free and open-source: xlwings is released under a permissive BSD-License.
User Defined Functions: Write Excel worksheet functions in Python - no VBA required;Ribbon Customization: Give your users a rich Excel native experience;Macros: No need for VBA, access to the full Excel Object Model in Python;Menu Functions: Call Python functions from Excel menus, and give common tasks keyboard shortcuts;Real Time Data: Stream data to Excel in real-time using Python;Array Functions: Return tables of data to Excel that resize automatically;IntelliSense: Auto-complete worksheet functions as you type them;NumPy and Pandas Integration: Use NumPy and Pandas types in Excel
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
2
GitHub Forks
-
Stacks
36
Stacks
8
Followers
125
Followers
104
Votes
0
Votes
8
Pros & Cons
Cons
  • 3
    Very slow and still needs VBA for UDFs
Pros
  • 5
    Fully replace VBA with Python
  • 2
    Excellent support
  • 1
    Very good performance
Cons
  • 1
    Cannot be deloyed to mac users
Integrations
No integrations available
Python
Python
Microsoft Excel
Microsoft Excel
Pandas
Pandas
NumPy
NumPy

What are some alternatives to xlwings, PyXLL?

Airtable

Airtable

Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer.

Pandas

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.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Sheetsu

Sheetsu

Use spreadsheet as your database. Give data to your users the nice way, directly from the tool you know. Without bothering webdeveloper.

Sheety

Sheety

Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.

Sheetlabs

Sheetlabs

Drag & drop your data, name your API and choose what data people can see - that's it. Documentation is created automatically.

sheet2api

sheet2api

Use any Google Sheets or Excel Online spreadsheet to power a fully-fledged API, no coding required.

SciPy

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.

Dataform

Dataform

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

PySpark

PySpark

It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

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