# C/C++$ vs Matplotlib教程

The clearest difference is review sentiment: C/C++$ at 91% against Matplotlib教程's 33%. C/C++$ also leads on rating (4.5 vs 3.0) and update cadence (every 4 weeks vs every 21 months). Matplotlib教程's advantage is price ($1.99 vs $2.99) and iOS requirement (12.0 vs 14.0). On ratings volume, ads, in-app purchases and monetization model there is nothing between them.

C/C++$ costs $2.99 and Matplotlib教程 $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.

C/C++$ holds the better App Store score, 4.5 against 3.0. Both are backed by a comparable volume of ratings — 2 and 2 respectively. Written reviews point the same way: 91% of C/C++$'s written reviews are positive against 33% of Matplotlib教程's.

C/C++$ ships an update every 4 weeks, Matplotlib教程 every 21 months. The most recent releases landed on October 10, 2026 and October 7, 2026 respectively.

## The numbers

| Metric | C/C++$ | Matplotlib教程 |
| --- | --- | --- |
| Price | $2.99 | **$1.99** |
| Rating | **[4.5 (2 ratings)](https://appshunter.io/ios/app/cc-plus-plus-llvm-clang/id908937788/reviews)** | [3.0 (2 ratings)](https://appshunter.io/ios/app/matplotlib/id1583770274/reviews) |
| Number of ratings | 2 | 2 |
| Positive reviews | **90.9% of reviews** | 33.3% of reviews |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | **Every 4 weeks** | Every 21 months |
| Monetization | Paid | Paid |
| Best chart rank | **#126** | #186 |
| Size | 137 MB | 15 MB |
| Requires iOS | 14.0 | **12.0** |
| Devices | **iPhone, iPad, iPod, Apple Watch** | iPhone, iPad, iPod |
| Age rating | 17+ | 4+ |
| Developer | [小文 黄](https://appshunter.io/developer/490328393) | [强 马](https://appshunter.io/developer/687218962) |

## What reviewers say

### C/C++$

[App page](https://appshunter.io/ios/app/cc-plus-plus-llvm-clang/id908937788)

**Currently charting:** #126 Top Paid · Developer Tools (US App Store)

This tool facilitates efficient C/C++ learning and programming with offline compilation, Git integration, and cloud storage. It offers a rich coding environment with templates, autocompletion, and customization options for a personalized experience.

**Highlights:** Offline compilation and execution, Git fetching from GitHub/Gitee, iCloud storage and multi-device sync, Code templates and autocompletion, Customizable interface and code appearance, Built-in browser for learning materials, File management and QR code generation

**Features:** macOS Compatibility, Apple Watch app, Vision Pro support

**In-app purchases:** none


### Matplotlib教程

[App page](https://appshunter.io/ios/app/matplotlib/id1583770274)

**Currently charting:** #186 Top Paid · Developer Tools (US App Store)

This app teaches users how to create various static, dynamic, and interactive charts using Python's Matplotlib library. It covers a wide range of plot types, from simple line graphs to complex 3D visualizations and animations, making data presentation more intuitive.

**Highlights:** Learn data visualization with Python, Create static, dynamic, and interactive charts, Draw line plots, scatter plots, and contour plots, Generate bar charts, histograms, and 3D graphics, Explore animated visualizations, Multiple output formats supported

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

**In-app purchases:** none


## Frequently asked questions

### Is C/C++$ free?

C/C++$ costs $2.99, with no in-app purchases.

### Is Matplotlib教程 free?

Matplotlib教程 costs $1.99, with no in-app purchases.

### Which has better reviews, C/C++$ or Matplotlib教程?

C/C++$ is rated higher. C/C++$ averages 4.5 out of 5 from 2 ratings, while Matplotlib教程 averages 3.0 from 2 ratings.

### Do C/C++$ or Matplotlib教程 have ads?

Neither C/C++$ nor Matplotlib教程 shows ads.

### Which is updated more often, C/C++$ or Matplotlib教程?

C/C++$ ships an update every 4 weeks, and Matplotlib教程 every 21 months. Most recently, C/C++$ was updated on October 10, 2026 and Matplotlib教程 on October 7, 2026.

### Which is more popular, C/C++$ or Matplotlib教程?

C/C++$ currently peaks at #126 in the App Store charts, and Matplotlib教程 at #186. Chart position reflects recent download velocity rather than total install base.

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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.*