Perform complete data science workflows on your mobile device. Explore, clean, train machine learning models, and make predictions without needing a laptop. Ideal for data scientists and students on the go.
1.4
September 6, 2026
If you can see a table, Quick ML can now import it. - Word and PDF documents: tables come in with merged cells and multi-page layouts handled. - A ZIP of same-shaped files combines into one dataset with a source-file column. - Keep History: a refresh mode that appends every fetch with its timestamp, turning a live page into a time series. - Tidy Durations and Tidy Text, and Tidy Numbers now reads percent signs, currency and bracketed negatives. - Calculated columns, eighteen of them: date difference and date shift, compare columns, powers, roots and functions, split, join, duplicate, extract §a number from text, standardise, running total and rank, and more. - Edit or remove a single row, recorded as a recipe step like everything else. - Various fixes and improvements throughout, including honest test scores for image classifiers.
MoreThe free version allows you to import files of any size, explore and clean data without limits, train classic algorithms (linear regression, logistic regression, k-means, image classifier), evaluate models, and make predictions.
Quick ML Pro unlocks all 19 algorithms, auto-tuning, imports from URLs, Kaggle, and PostgreSQL, refresh and lookup joins, dashboards, Core ML and Python export, project sharing, and anonymisation. It's a single purchase.
No, Quick ML is designed to perform the entire data science workflow on your iPhone or iPad, eliminating the need for a laptop.
Yes, all computations are performed on your device. Your data never touches a server, ensuring privacy and security, especially for sensitive datasets. Projects can sync privately via iCloud.
Quick ML supports importing CSV, Excel workbooks, parquet, ZIP archives, URLs and JSON APIs, Kaggle datasets, and PostgreSQL databases. Sources can be refreshed later.
Every screen explains the meaning of numbers and the importance of each step. The 'How to Do This in Python' feature exports your pipeline as a Jupyter notebook with pandas and scikit-learn code.
The app was last updated on August 27, 2026, indicating regular updates to improve functionality and add features.
Quick ML is compatible with both iPhone and iPad devices.
