Amazon Machine Learning vs xlwings
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Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac! | 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. |
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. | Easily Create Machine Learning Models;From Models to Predictions in Seconds;Scalable, High Performance Prediction Generation Service;Low Cost and Efficient |
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GitHub Stars 0 | GitHub Stars - |
GitHub Forks 2 | GitHub Forks - |
Stacks 36 | Stacks 165 |
Followers 125 | Followers 246 |
Votes 0 | Votes 0 |
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What are some alternatives to xlwings, Amazon Machine Learning?
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.
NanoNets
Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
Inferrd
It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.
Sheetsu
Use spreadsheet as your database. Give data to your users the nice way, directly from the tool you know. Without bothering webdeveloper.
Sheety
Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.
GraphLab Create
Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.
BigML
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
Sheetlabs
Drag & drop your data, name your API and choose what data people can see - that's it. Documentation is created automatically.
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