# Carnets vs PeterJohn NumPy Matplotlib

The clearest difference is review sentiment: Carnets at 82% against PeterJohn NumPy Matplotlib's 0%. Carnets also leads on price (Free vs $12.99). PeterJohn NumPy Matplotlib's advantage is update cadence (every 2 weeks vs every 6 weeks). On ads, in-app purchases, device support and iOS requirement there is nothing between them.

Carnets is free to download; PeterJohn NumPy Matplotlib costs $12.99 up front. Neither carries in-app purchases, so what you see is what you pay.

Carnets ships an update every 6 weeks, PeterJohn NumPy Matplotlib every 2 weeks. The most recent releases landed on October 14, 2026 and October 7, 2026 respectively.

## The numbers

| Metric | Carnets | PeterJohn NumPy Matplotlib |
| --- | --- | --- |
| Price | **Free** | $12.99 |
| Rating | **[4.6 (87 ratings)](https://appshunter.io/ios/app/carnets-jupyter-with-scipy/id1559497253/reviews)** | — |
| Number of ratings | **87** | — |
| Positive reviews | **81.5% of reviews** | 0.0% of reviews |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 6 weeks | **Every 2 weeks** |
| Monetization | **Free** | Paid |
| Size | 2.1 GB | 222 MB |
| Requires iOS | **14.0** | 15.0 |
| Devices | **iPhone, iPad, iPod** | iPhone, iPod |
| Age rating | 17+ | 4+ |
| Developer | [Nicolas Holzschuch](https://appshunter.io/developer/1450994948) | [Yasushi Obata](https://appshunter.io/developer/899977114) |

## What reviewers say

### Carnets

[App page](https://appshunter.io/ios/app/carnets-jupyter-with-scipy/id1559497253)

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.

**Highlights:** 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

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none

**What reviewers like**

- 🚀 Best python coding app
- 👍 Good app, well organized
- 👍 Comprehensive Python environment
- 👍 Excellent tool for data science on iPad
- 👍 Fantastic, powerful functionality

**What reviewers complain about**

- 🐛 Crashes, blank screen, freezes
- 🔋 High battery consumption, heating issues
- 🔍 Some methods/libraries don't work
- 📁 Issues with file access, saving

**Reported bugs**

- Unable to create new notebooks
- Incompatible with older iOS versions
- Line breaking issues with external keyboard

**Requested features**

- 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


### PeterJohn NumPy Matplotlib

[App page](https://appshunter.io/ios/app/peterjohn-numpy-matplotlib/id6471342492)

This Python interpreter for iPhone allows you to study data science, deep learning, and reinforcement learning using NumPy and Matplotlib. It provides a user-friendly interface with tutorials and scripts to get started quickly.

**Highlights:** Python interpreter for iPhone, Includes NumPy module, Includes Matplotlib module, Study data science, deep learning, reinforcement learning, Tutorials and example scripts, Run Python scripts

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is Carnets free?

Carnets is free to download, with no in-app purchases.

### Is PeterJohn NumPy Matplotlib free?

PeterJohn NumPy Matplotlib costs $12.99, with no in-app purchases.

### Do Carnets or PeterJohn NumPy Matplotlib have ads?

Neither Carnets nor PeterJohn NumPy Matplotlib shows ads.

### Which is updated more often, Carnets or PeterJohn NumPy Matplotlib?

Carnets ships an update every 6 weeks, and PeterJohn NumPy Matplotlib every 2 weeks. Most recently, Carnets was updated on October 14, 2026 and PeterJohn NumPy Matplotlib on October 7, 2026.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*