ZyNotes vs Quick ML

ZyNotes is a private offline notes app for your thoughts, diary and study notes. No account, no internet needed, and nobody else can read what you write. • PRIVATE NOTES THAT STAY ON YOUR DEVICE Your notes live on your iPhone or iPad, not on someone else’s server. No sign-up, no login and no data collection. Start writing the moment you open the app. • A THOUGHT JOURNAL AND STUDY DIARY IN ONE Sort every note into Diary, Study or Journal with one tap. Keep your private thoughts, daily journal and homework notes separate, and find any of them in seconds. • LOCK ANY NOTE Lock a single note with a password, a 4-digit PIN or Face ID. Only someone who can unlock it can read it. Perfect for a secret diary or anything personal. • WRITE THE WAY YOU LIKE Use headings, bold and italic text, checklists, numbered and bulleted lists, quotes and highlights. Add photos right inside a note and turn it into a study notebook you’ll actually want to reread. • VOICE NOTES Record a voice note when typing isn’t an option and keep it next to your written notes. • PRIVATE AI HELPER Ask the built-in note summarizer to shorten a long note, or chat with your notes to find what you wrote. It’s designed for privacy, like the rest of ZyNotes. • MORE YOU’LL LIKE To-do checklists inside any note, share a note as a PDF, light and dark themes, custom backgrounds and fonts. Made for students, journal writers and anyone who wants a simple, private place for their notes. Download ZyNotes and keep your notes yours. Terms of Use https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy https://zynotes.pntapps.com/privacy

Quick ML is a complete data-science studio for iPhone and iPad. Import real datasets, explore and clean them properly, train machine-learning models, and make predictions - the whole workflow, entirely on device. Built for data scientists and students of data science who don't always have a laptop with Python to hand. FREE TO TRY, ONE PRICE TO OWN The free version is a real studio, not a demo: import files of any size (CSV, Excel, parquet, JSON, XML), shape local JSON and XML visually, combine two projects on a key, explore and clean without limits, train the classic algorithm for each task (linear regression, logistic regression, k-means, and the image classifier), evaluate honestly, and predict. When you want more, Quick ML Pro is a single purchase that unlocks all 19 algorithms, auto-tuning, imports from web pages, APIs, GraphQL, Kaggle, and PostgreSQL, refresh and lookup joins, dashboards, Core ML and Python export, project sharing, and applying anonymisation. No subscription, no account. Yours forever. NO LAPTOP? NO PROBLEM On the train, in a lecture, at a client's site, on the sofa: open a dataset the moment you get it and have a trained, evaluated model before you're anywhere near a computer. A million-row CSV is fine - data streams into a local store and never loads into memory at once. PRIVATE BY ARCHITECTURE Everything computes on your device. No accounts, no uploads, no analytics - your data never touches a server, which also makes it an easy answer when the dataset is sensitive. Projects sync privately between your own devices through your own iCloud. IMPORT ANYTHING CSV and TSV, Excel workbooks, Word and PDF documents, parquet, ZIP archives, web pages with tables, JSON, XML and GraphQL APIs, Kaggle datasets, even a PostgreSQL database. Sources can refresh later: re-import, append, merge new rows on a key, or keep a history of every fetch as a time series. EXPLORE AND CLEAN PROPERLY Full descriptive statistics, histograms, box and violin plots, correlation heat maps, pair plots, and nine statistical tests with plain-English verdicts. A one-tap Data Health Check profiles every column and suggests cleaning steps, each with its reason. Every change is a recorded recipe step - fills, filters, tidy dates, dedupe, outlier trims, derived columns (date parts, bins, ratios, lags, rolling windows, text features) - replayable, synced, and individually undoable, like a pandas script you can swipe. TRAIN REAL MODELS Regression, classification, and clustering: linear and logistic regression, decision trees, random forests, boosted trees, neural networks you design visually, k-nearest neighbours, SVM, Naive Bayes, k-means, DBSCAN, Gaussian mixtures. Honest seeded or time-ordered splits, cross-validated auto-tuning, class balancing, and full evaluation: R2 and RMSE, confusion matrices, ROC and AUC, permutation feature importance, learning curves. STUDYING DATA SCIENCE? IT SHOWS ITS WORKING Every screen explains what the numbers mean and why each step matters, from quartiles to overfitting. Then How to Do This in Python exports your exact pipeline as a Jupyter notebook - every step as pandas and scikit-learn code with the reasoning in markdown so what you did on the sofa becomes the coursework, and the concepts transfer straight to the tools you're learning. WORKING DATA SCIENTIST? TAKE THE RESULTS WITH YOU Export any trained model as a Core ML .mlmodel and drop it into an Xcode project or Core ML pipeline. Run batch predictions over a whole file, score held-out validation sets, compare model versions, build live dashboards, and generate a client-ready PDF report of the entire project in one tap. If you have data and a phone, you have a data-science workstation.