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DataNitro vs xlwings: What are the differences?
Developers describe DataNitro as "Replacing VBA in Excel with Python". 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. On the other hand, xlwings is detailed as "Use Python in Excel without add-ins". Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!.
DataNitro and xlwings can be categorized as "Spreadsheets as a Backend" tools.
Some of the features offered by DataNitro are:
- Build Models - Leverage Python's finance, math and stat libraries.
- Get Data - Automate input from databases, feeds and internet sources.
- Work Fast - Build prototypes with a fraction of the code.
On the other hand, xlwings provides the following key features:
- 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.
xlwings is an open source tool with 1.37K GitHub stars and 252 GitHub forks. Here's a link to xlwings's open source repository on GitHub.
Cons of DataNitro
- DataNitro is no longer for sale or being developed3
Cons of xlwings
- Very slow and still needs VBA for UDFs3