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PyXLL vs AWS Data Wrangler: What are the differences?
PyXLL: 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!; AWS Data Wrangler: Move pandas/spark dataframes across AWS services. It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).
PyXLL and AWS Data Wrangler can be categorized as "Data Science" tools.
AWS Data Wrangler is an open source tool with 378 GitHub stars and 35 GitHub forks. Here's a link to AWS Data Wrangler's open source repository on GitHub.
Pros of AWS Data Wrangler
Pros of PyXLL
- Fully replace VBA with Python5
- Excellent support2
- Very good performance1
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Cons of AWS Data Wrangler
Cons of PyXLL
- Cannot be deloyed to mac users1