Comparison

Python Coding vs Jupyter Notebook

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Python Coding

This app provides a powerful Python IDE for mobile devices, allowing users to write, run, and learn Python 3 code offline. It includes features for data science, interactive tutorials, and coding challenges, making it ideal for learners and developers.

Highlights
  • Powerful Python IDE with syntax highlighting
  • Offline Python 3 runtime
  • Live code execution with real-time output
  • Data science libraries (NumPy, pandas, Matplotlib)
  • Interactive Python tutorials
  • PyPI package manager
  • Coding challenges
Features
Read full description

Python Coding – Code Python Anytime, Anywhere Code Python on your Phone and Pad with Python Coding – a powerful, mobile-first Python IDE designed for learners, developers, and data enthusiasts. Write, run, and explore Python code with an advanced editor, full-featured offline runtime, and built-in tutorials. Whether you're scripting simple programs or building data science models, Python Coding makes it seamless. Core Features • Offline Python 3 Runtime – Run Python scripts anytime, fully offline with no internet required. • Instant Code Execution – Run and test Python code instantly with real-time output. • Data Science Ready – NumPy, pandas, Matplotlib, and scikit-learn included out of the box. • Smart Code Editor – Featuring syntax highlighting, auto-indentation, code completion, line numbers, indent guides, and bracket matching. • Smart Editing Tools – Undo & redo, file history snapshots, find & replace, multi-line drag selection, indent/outdent, and quick comment actions. • Code Quality Tools – PEP 8 auto-formatting and real-time syntax checking with inline error highlighting. • Matplotlib Visualization – Create clean, professional charts and graphs directly on your device. • PyPI Package Manager – Install and manage Python libraries directly in-app. • Project File System – Organize and manage multiple scripts and projects effortlessly. • Interactive Tutorials – Learn Python, NumPy, pandas, Matplotlib, and scikit-learn step by step. • Coding Challenges – Practice your skills with interactive Python challenges across multiple difficulty levels. • Python Game Playground – Explore 34 interactive Python games, view the source code, and learn game development with pygame step by step. • Dark Mode & Themes – Customize your workspace with themes and fonts. • Quick Input Keyboard – Speed up coding with easy access to :, (), {}, and more. • iCloud Drive Integration – Access, edit, and sync your Python files across iPhone and iPad seamlessly. Turn your Phone or Pad into a full-featured Python development environment. Download Python Coding and start coding anytime, anywhere! --- 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. Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable. Terms of use https://septudio.com/terms-of-use and privacy policy https://septudio.com/privacy-policy

About

Jupyter Notebook

This app provides a full-featured Jupyter Notebook and Python 3 environment on your iPhone and iPad. Code, analyze data, and run machine learning projects anywhere with Google Colab compatibility and pre-installed libraries. It's designed for both beginners and professionals seeking a portable notebook experience.

Highlights
  • Jupyter Notebook support
  • Full Python 3 integration
  • Google Colab compatibility
  • File management with Notebook Manager
  • Fast compilation and optimized execution
  • Python console/IDLE
  • Example notebooks for learning
Features
Read full description

JuCode is a Jupyter environment for iPhone and iPad that requires no setup, comes with native Python and Google Colab support. JuCode delivers a fully native notebook with integrated Python3 Compiler, allowing you to code, analyze data, and run machine learning projects anywhere. Designed for both beginners and professionals, JuCode makes working with notebooks faster, easier, and more portable than ever. Key Features Jupyter Support Create, edit, and run notebooks with complete functionality - including Markdown cells, code cells, adding or deleting cells, and viewing live outputs. Directly open and work with .ipynb files without converters or extra tools. Full Python 3 Integration Python runs entirely on iOS, offering support for essential libraries - pre-installed for instant use. No manual installations required; simply import and start coding. Zero Setup JuCode comes with most needed libraries already installed like Matplotlib, Numpy, Pandas and more. Google Colab Support Seamlessly import notebooks from Google Colab and export them back after editing. Transfer .ipynb files to and from any app, ensuring smooth workflow across devices and platforms. File Management With Notebook Manager Browse, open, and manage files and folders with quick previews. Organize your files efficiently from inside the app. Fast Compilation & Optimized Execution Minimal load times with instant code cell execution. Built-in optimizations for large datasets and heavy computations. Python Console/IDLE For iPhone/iPad A dedicated interactive console for quick experiments and script testing. Education & Learning Ready Comes with example notebooks for Python basics, data analysis, and visualization - perfect for students, teachers, and self-learners. Dark & Light Mode Switch seamlessly between dark and light themes to suit your environment. Terms of Use(EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://evoraapps.com/jucode/privacy-policy.html jupyter,notebook,ipynb,ide,data,science,machine,learning,pandas,numpy,matplotlib,coding,analysis

Screenshots

Python Coding4 screens
Jupyter Notebook4 screens

Verdict

The call

The clearest difference is rating: Python Coding at 4.8 against Jupyter Notebook's 3.9. Python Coding also leads on review sentiment (71% vs 40%) and ratings volume (1.2K vs 8). Jupyter Notebook's advantage is ads (none vs shown). 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

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Python Coding sells 3 in-app purchases, starting at $3.99 per month and Jupyter Notebook sells 3 in-app purchases, starting at $9.99 per month. Whichever you choose, the download price is not the number that matters.

ReceptionRating · Positive reviews · Number of ratings

Python Coding holds the better App Store score, 4.8 against 3.9. That said, the two scores are not equally well evidenced: Python Coding has 1.2K ratings behind it against 8, so its average is the more settled of the two. Written reviews point the same way: 71% of Python Coding's written reviews are positive against 40% of Jupyter Notebook's.

UpkeepUpdate frequency

Both ship on a similar rhythm, roughly fortnightly. The most recent releases landed on October 11, 2026 and October 2, 2026 respectively.

Scorecard4 real differences · 7 level
Python Coding versus Jupyter Notebook: the parameters behind the verdict, then further details
ParameterPython CodingJupyter Notebook
PriceFreeFree
Rating4.8 (1.2K ratings) — better3.9 (8 ratings)
Positive reviews71.0% of reviews — better40.0% of reviews
Number of ratings1.2K — better8
Update frequencyFortnightlyFortnightly
AdsYesNo — better
In-app purchasesYesYes
MonetizationFree with in-app purchasesFreemium
Best chart rank#36#17 — better
DevicesiPhone, iPadiPhone, iPad
Requires iOS16.4 — better17.6
Further details — not scored
Size321 MB312 MB
Age rating4+4+
Developer婉媚 邵Devang Samirbhai Shah

Customer experience

Python Coding

All ratings1,187 ratings
Positive94.8%
Neutral1.8%
Negative3.5%
Written reviews62 reviews
Positive71.0%
Neutral0.0%
Negative29.0%

Jupyter Notebook

All ratings8 ratings
Positive75.0%
Neutral0.0%
Negative25.0%
Written reviews10 reviews
Positive40.0%
Neutral0.0%
Negative60.0%

Bugs and requests

Python Coding

Reported bugs

2 issues
  • Keyboard won't pull up
  • Gave unexpected error

Requested features

2 requests
  • Add support for Git
  • Implement more advanced Python modules and libraries

Jupyter Notebook

Not enough reviews yet to summarise bugs or requests.

In-app purchases

3 purchases

Python Coding

Subscriptions2
  • Python Coding Pro$3.991 Month
  • Python Coding Pro7 Days trial$19.991 Year
One-time1
  • Python Coding Pro$39.99
3 purchases

Jupyter Notebook

Subscriptions2
  • JuCode Pro Monthly$9.991 Month
  • JuCode Pro Annually$19.991 Year
One-time1
  • JuCode Pro Lifetime$24.99

Questions

Is Python Coding free?
Python Coding is free to download, with in-app purchases available.
Is Jupyter Notebook free?
Jupyter Notebook is free to download, with in-app purchases available.
Which has better reviews, Python Coding or Jupyter Notebook?
Python Coding is rated higher. Python Coding averages 4.8 out of 5 from 1.2K ratings, while Jupyter Notebook averages 3.9 from 8 ratings.
Do Python Coding or Jupyter Notebook have ads?
Python Coding shows ads; Jupyter Notebook does not.
Which is updated more often, Python Coding or Jupyter Notebook?
Python Coding ships an update fortnightly, and Jupyter Notebook fortnightly. Most recently, Python Coding was updated on October 11, 2026 and Jupyter Notebook on October 2, 2026.
Which is more popular, Python Coding or Jupyter Notebook?
Python Coding currently peaks at #36 in the App Store charts, and Jupyter Notebook at #17. Chart position reflects recent download velocity rather than total install base.

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