Carnets vs PythonKit
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Carnets
This app offers a full Jupyter notebook experience on your device, ideal for education and research. It includes scientific computation packages like SciPy and scikit-learn, allowing you to write and run Python code offline. Notebooks can be shared and opened from other applications.
- Offline Jupyter notebook execution
- Includes SciPy, scikit-learn, and Seaborn
- Embedded Python interpreter
- Markdown support for text
- Package management with %pip
- Notebook sharing and import
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Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools. You can switch between standard notebooks and the more modern jupyterlab using the Settings app. Of course, all the packages included with the standard app are present too: numpy, simply, matplotlib... To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python. You can share your notebooks with other apps and also open notebooks or directories managed by other apps. Partial list of installed packages: astropy, babel, bokeh, cartopy, cryptography, cvxopt, Fiona, geopandas, geopy, gym, inequality, libpysal, lxml, mapclassify, matplotlib, networkx, nltk, numpy, openCV, pandas, parso, pillow, pyFFTW, pyproj, qutip, rasterio, regex, Rtree, scikit-learn, scipy, seaborn, segregation, shapely, soupsieve, spopt, statsmodels, sympy, wordcloud.
PythonKit
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PythonKit: Run Python Code on Your iPhone! PythonKit allows users to easily access information from Modal Labs such as app IDs, names, states, creation times, and stop times by entering their Modal ID and token (which is not stored). This feature is designed for users who need to interact with Modal without access to their traditional machine.
Screenshots
Verdict
The clearest difference is iOS requirement: Carnets at 14.0 against PythonKit's 16.0. On price, update cadence, ads and in-app purchases 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. Neither carries in-app purchases, so what you see is what you pay.
Carnets ships an update every 6 weeks, PythonKit every 2 months. The most recent releases landed on September 22, 2026 and September 21, 2026 respectively.
| Parameter | Carnets | PythonKit |
|---|---|---|
| Price | Free | Free |
| Rating | 4.6 (87 ratings) — better | — |
| Positive reviews | 81.5% of reviews | — |
| Number of ratings | 87 — better | — |
| Update frequency | Every 6 weeks — better | Every 2 months |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 14.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 2.1 GB | 14 MB |
| Age rating | 17+ | 17+ |
| Developer | Nicolas Holzschuch | Claremont Computer Network LLC |
Bugs and requests
Carnets
Reported bugs
3 issues- Unable to create new notebooks
- Incompatible with older iOS versions
- Line breaking issues with external keyboard
Requested features
5 requests- Add support for Tensorflow, XGBoost, LightGBM
- Enable running code in .py files
- Improve stability and performance
- Add support for R kernel
- Provide better file management options
PythonKit
Not enough reviews yet to summarise bugs or requests.
In-app purchases
Carnets
No in-app purchases
PythonKit
No in-app purchases








