Notebook Master for Jupyter vs Learn to Code
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Notebook Master for Jupyter
Access and explore millions of reproducible code notebooks from platforms like GitHub and Kaggle. Learn AI, deep learning, machine learning, and data science by studying state-of-the-art implementations and competition-winning strategies. Save your favorite notebooks for offline study anytime, anywhere.
- Explore millions of Jupyter notebooks
- Search GitHub and Kaggle repositories
- Import notebooks from cloud storage
- Bookmark and save notebooks offline
- Open notebooks with Colab
- Render mathematical equations beautifully
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We believe the best way to learn AI/Deep Learning/Machine learning and Data Science is to enable them to access the reproducible codes on Jupyter. Notebook lets you explore million notebooks on Github/Kaggle and more. * Wonder how to implement new state of the art papers? * How to win a Data Science competition * How to start learning Deep Learning and Machine Learning. You can explore, search, store offline to read and learn your favorite notebooks any time, everywhere, on the go. Thanks to your feedback, we add new ad free subscription version by month/year. ** Functions ** - Open with colab from github - Explore top Jupyter notebook repositories - Search the repositories, users - Import your notebooks from cloud - View and bookmark your most valuable notebooks. - Offline view mode - Beautiful rendering maths in notebook. ** Ad free subscription ** • Length of subscription: monthly/yearly • Payment will be charged to iTunes Account at confirmation of purchase • Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period • Account will be charged for renewal within 24-hours prior to the end of the current period, and identify the cost of the renewal • Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user’s Account Settings after purchase Enjoy notebooks and happy modeling. Contact us: saigonapps@gmail.com Term of Service and Privacy policy: http://appsaigon.com/privacy.html
Learn to Code
Learn to code with interactive, hands-on Python labs that run directly on your device. Practice with real code, data, and APIs without needing internet or setup. Progress from basics to advanced topics like data analysis and machine learning at your own pace.
- Interactive coding labs
- On-device Python IDE
- Offline learning
- Real-world projects
- Step-by-step tutorials
- Instant feedback
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Learn to code with interactive, hands-on coding labs you can run right on your iPhone or iPad—no setup, no internet required. Tinkerstellar pairs bite-sized tutorials with an on-device Python IDE, so you can practice with real data, libraries, and APIs while you learn. Start from Python basics (syntax, variables, functions, loops) and progress to practical topics like data analysis, data visualization, web scraping, HTTP/networking, XML/JSON parsing, and machine learning—all at your own pace. What you’ll do with Tinkerstellar • Follow step-by-step, self-paced labs with instant feedback • Run real Python code in a built-in editor that works like a mobile IDE • Work on practical, real-world projects using real datasets and APIs • Explore advanced topics gradually, with clear explanations and examples • Learn anywhere: labs are fully pre-configured and work offline Why it’s different • All-in-one environment—no Python install, no configuration, no extra apps • Interactive learning—write, run, and tweak code as you go • Real skills—apply Python to everyday tasks: analysis, scraping, automation, ML Whether you’re a complete beginner or brushing up on advanced concepts, Tinkerstellar offers a clear, approachable path to learning Python and applying it to real problems. The lessons are compact and easy to digest, and the interactive exercises make learning engaging and effective—all directly on your device, even offline. If you want a practical way to learn Python programming, practice coding, and build confidence with tools used in data science, automation, and more, Tinkerstellar is for you.
Screenshots
Verdict
The clearest difference is rating: Learn to Code at 4.9 against Notebook Master for Jupyter's 4.2. Learn to Code also leads on ads (none vs shown) and review sentiment (71% vs 40%). Notebook Master for Jupyter's advantage is iOS requirement (12.0 vs 16.0). On price, update cadence, in-app purchases and monetization model there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Notebook Master for Jupyter sells 2 in-app purchases, starting at $1.49 per month and Learn to Code sells 10 one-off in-app purchases. Whichever you choose, the download price is not the number that matters.
Learn to Code holds the better App Store score, 4.9 against 4.2. Both are backed by a comparable volume of ratings — 126 and 601 respectively. Written reviews point the same way: 40% of Notebook Master for Jupyter's written reviews are positive against 71% of Learn to Code's.
Notebook Master for Jupyter ships an update monthly, Learn to Code every 6 weeks. The most recent releases landed on July 4, 2026 and September 29, 2026 respectively.
| Parameter | Notebook Master for Jupyter | Learn to Code |
|---|---|---|
| Price | Free | Free |
| Rating | 4.2 (126 ratings) | 4.9 (601 ratings) — better |
| Positive reviews | 40.0% of reviews | 70.6% of reviews — better |
| Number of ratings | 126 | 601 — better |
| Update frequency | Monthly — better | Every 6 weeks |
| Ads | Yes | No — better |
| In-app purchases | Yes | Yes |
| Monetization | Free with in-app purchases | Free with in-app purchases |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 12.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 31 MB | 462 MB |
| Age rating | 4+ | 4+ |
| Developer | My Pham | Rational Matter Ltd |
Customer experience
Notebook Master for Jupyter
Learn to Code
Bugs and requests
Notebook Master for Jupyter
Not enough reviews yet to summarise bugs or requests.
Learn to Code
Reported bugs
6 issues- App crashes on launch with iPadOS 18
- Crashes on M4 iPad Pro
- Crashes on Apple Vision Pro when rerunning code
- Storage/internet error messages despite sufficient resources
- Some code examples fail to execute (e.g., iris data loading)
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- App runs hot on M1 iPad Pro
Requested features
7 requests- Graded exercises and code challenges
- Text highlighting capability (like iBooks)
- More hands-on, problem-solving activities
- Spanish language support
- Unified pricing menu showing all available courses
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- Clear learning path and starting point
- Performance optimization for M1/M4 devices
In-app purchases
Notebook Master for Jupyter
- Ad-free Monthly$1.491 Month
- Ad-free Yearly$9.991 Year
Learn to Code
- Clustering with k-Means$1.49
- Introduction to Data Analysis$1.49
- Python Data Structures$2.99
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- Data Cleaning with Pandas$2.99
- Beyond Machine Learning Basics$2.99
- HTTP Requests with Python$2.99
- Machine Learning Basics$2.99
- Expressive Data with Python$2.99
- Web Scraping with Python$2.99
- Unlimited Coding Labs$19.99
Questions
Is Notebook Master for Jupyter free?
Is Learn to Code free?
Which has better reviews, Notebook Master for Jupyter or Learn to Code?
Do Notebook Master for Jupyter or Learn to Code have ads?
Which is updated more often, Notebook Master for Jupyter or Learn to Code?
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