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Amazon Machine Learning vs xlwings: What are the differences?
What is Amazon Machine Learning? Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
What is xlwings? 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!.
Amazon Machine Learning and xlwings are primarily classified as "Machine Learning as a Service" and "Spreadsheets as a Backend" tools respectively.
Some of the features offered by Amazon Machine Learning are:
- Easily Create Machine Learning Models
- From Models to Predictions in Seconds
- Scalable, High Performance Prediction Generation Service
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 1.38K GitHub stars and 259 GitHub forks. Here's a link to xlwings's open source repository on GitHub.
Cons of Amazon Machine Learning
Cons of xlwings
- Very slow and still needs VBA for UDFs3