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Simple ML for Sheets

No-code machine learning directly inside Google Sheets

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What Is Simple ML for Sheets?

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Simple ML for Sheets is a Google Sheets add-on developed by the TensorFlow Decision Forests team that makes machine learning accessible to any spreadsheet user. It allows you to automatically predict missing values, detect abnormal entries, forecast future values, and train and evaluate models directly in the familiar Sheets interface.

All computation, including model training, runs in your web browser using WebAssembly and JavaScript, so your data stays on your machine instead of being sent to third parties. Powered by Yggdrasil Decision Forests and TensorFlow Decision Forests, models can be exported to TensorFlow, Colab, TF Serving, or called from C++, Go, and JavaScript.

With highly automated workflows and fast training times on tabular data, it suits both non-experts and ML practitioners who want to quickly iterate or prototype on spreadsheet datasets.

Quick Snapshot

Simple ML for Sheets brings powerful machine learning into the Google Sheets interface so anyone can predict, clean, and analyze data without coding or ML expertise. All computation runs in your browser, keeping spreadsheet data private while enabling fast experimentation.

Works on: Web
Pricing Model: Cannot determine the price.
Fits on: Data Cleaning & Processing

No-Code & Workflow AI

Pattern Recognition & Forecasting

Predictive Analytics

Productivity & Automation AI

Research & Data AI

Spreadsheet AI Tools
Affiliate Program: We could not identify an affiliate program.
API Availability: We could not identify whether an API is available.
Key Features: Run no-code ML directly in Google Sheets

Keep data private with in-browser computation

Export decision forest models to TensorFlow
Audience: data analysts

business users

product managers

students

data scientists

machine learning engineers

Google Sheets power users

researchers
URL: https://simplemlforsheets.com

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Key Features of Simple ML for Sheets

No-code ML in Sheets

Run common machine learning tasks such as prediction, anomaly detection, and forecasting directly inside Google Sheets without writing code or having prior ML expertise.

In-browser computation

Performs model training and inference in your web browser using WebAssembly and JavaScript, keeping data local and avoiding third-party data sharing.

Decision forest engine

Powered by Yggdrasil Decision Forests and TensorFlow Decision Forests to handle tabular data efficiently with fast training and strong predictive performance.

Model training and evaluation

Provides tools to train models on spreadsheet data and evaluate their performance, helping users understand how well their models behave before applying them.

Exportable models

Allows exporting trained models to TensorFlow, Colab, TensorFlow Serving, or calling them from C++, Go, and JavaScript for integration into broader workflows.

Use Cases for Simple ML for Sheets

Data cleaning

Automatically predict and fill missing values or flag abnormal entries in your spreadsheet, improving data quality without manual rule-writing or coding.

Business forecasting

Forecast future values like sales, demand, or KPIs directly in Google Sheets so teams can plan scenarios without exporting data to external ML platforms.

Rapid ML prototyping

Data scientists and ML engineers can quickly experiment on tabular datasets in Sheets, then export trained models to TensorFlow or Colab for further refinement.

Education and learning

Students and educators can explore core machine learning concepts in a familiar spreadsheet environment, avoiding setup overhead while focusing on ideas and results.

Operational analytics

Business users can add lightweight predictive models to existing reporting sheets to estimate outcomes, score records, or prioritize items using in-browser ML.

Frequently Asked Questions

What is Simple ML for Sheets?

Simple ML for Sheets is a Google Sheets add-on that brings no-code machine learning to spreadsheet users, enabling prediction, anomaly detection, forecasting, and model training directly in Sheets.

Do I need coding or machine learning experience to use Simple ML for Sheets?

No, Simple ML for Sheets is designed for non-experts and automates most steps so you can run machine learning tasks on your data without writing any code or having prior ML knowledge.

Does Simple ML for Sheets send my data to external servers?

According to the documentation, Simple ML for Sheets performs computation, including model training, in your web browser using WebAssembly and JavaScript, so your data does not need to be shared with third parties.

Which machine learning tasks can I perform in Google Sheets?

You can predict missing values, detect abnormal values, forecast future values, and train and evaluate models on your tabular spreadsheet data directly within Google Sheets.

Can I export models created with Simple ML for Sheets?

Yes, models can be exported to TensorFlow, used in Colab or TensorFlow Serving, or called from C++, Go, and JavaScript, making it easy to integrate prototypes into larger systems.

Who is Simple ML for Sheets best suited for?

It is ideal for data analysts, business users, product managers, students, researchers, and ML practitioners who work with tabular data in Google Sheets and want quick, no-code access to machine learning.