Free and easy to use: correlation matrix, linear and logistic regression, random forest regression and classification, data manipulation functions. No code, no data sharing with third parties.
Listing updated:March 31, 2024
Works with:
Gaujasoft TableTorch is an add-on for Google Sheets™ that allows you to perform machine learning operations such as linear and logistic regressions with k-fold cross-validation and other advanced options, random forest regressions and classifications, as well as to compute a correlation matrix, to collect a train-test validation split, and to automatically scale the numeric data with one or a few scaling methods, e.g. standard scaling and percentile rank scaling.

TableTorch uses the data from your spreadsheet only to perform the computations that you request, i.e. it does not transfer nor store the data. It requires the permission to connect to an external service so that it is possible to check your subscription plan and collect the anonymized statistics regarding the popularity of its functions as is described in better detail in our Privacy Policy.

TableTorch is currently provided free of charge.
Google Sheets™ is a trademark of Google LLC.
Additional information
PricingFree of charge
Privacy policy
Terms of service
TableTorch will ask for the permissions shown below. Learn more
TableTorch will need access to your Google account
This will allow TableTorch to :
View and manage spreadsheets that this application has been installed in
Connect to an external service
View your country, language, and timezone
See your primary Google Account email address
See your personal info, including any personal info you've made publicly available
Associate you with your personal info on Google
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Baran Gül (Student)
April 15, 2024
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Andrey Sklyarevskiy
February 18, 2023
I am the author of this add-on. Any feedback is welcome! The only issue that I encountered with it is the 30-second limit on computing execution time. It could be somewhat alleviated by removing text data from the range or reducing the size of the data in other ways. Each panel has a HELP link leading to the respective article on the website with instructions and screenshots about the function' s usage. Hope it helps your analysis!
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Shubham Matah
May 4, 2023
It's simple and it works well !
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