# Matplotlib教程 vs Rust IDE

The clearest difference is rating: Matplotlib教程 at 3.0 against Rust IDE's 2.5. Matplotlib教程 also leads on review sentiment (33% vs 22%) and iOS requirement (12.0 vs 15.0). Rust IDE's advantage is update cadence (every 9 days vs every 21 months) and ratings volume (6 vs 2). On ads, in-app purchases, monetization model and chart position there is nothing between them.

Matplotlib教程 costs $1.99 and Rust IDE $0.99 up front. Neither carries in-app purchases, so what you see is what you pay.

Matplotlib教程 holds the better App Store score, 3.0 against 2.5. Both are backed by a comparable volume of ratings — 2 and 6 respectively. Written reviews point the same way: 33% of Matplotlib教程's written reviews are positive against 22% of Rust IDE's.

Matplotlib教程 ships an update every 21 months, Rust IDE every 9 days. The most recent releases landed on October 7, 2026 and October 8, 2026 respectively.

## The numbers

| Metric | Matplotlib教程 | Rust IDE |
| --- | --- | --- |
| Price | $1.99 | **$0.99** |
| Rating | **[3.0 (2 ratings)](https://appshunter.io/ios/app/matplotlib/id1583770274/reviews)** | [2.5 (6 ratings)](https://appshunter.io/ios/app/rust-ide-minimal-code/id6474973643/reviews) |
| Number of ratings | 2 | **6** |
| Positive reviews | **33.3% of reviews** | 22.2% of reviews |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 21 months | **Every 9 days** |
| Monetization | Paid | Paid |
| Best chart rank | #197 | **#161** |
| Size | 15 MB | 3 MB |
| Requires iOS | **12.0** | 15.0 |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Age rating | 4+ | 4+ |
| Developer | [强 马](https://appshunter.io/developer/687218962) | [Gansu Zhenxian Network Technology Co., Ltd.](https://appshunter.io/developer/1616881226) |

## What reviewers say

### Matplotlib教程

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

**Currently charting:** #197 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


### Rust IDE

[App page](https://appshunter.io/ios/app/rust-ide-minimal-code/id6474973643)

**Currently charting:** #161 Top Paid · Developer Tools (US App Store)

A mobile tool for developing, testing, and learning the Rust programming language on the go. It offers a streamlined environment for coding anytime, anywhere.

**Highlights:** Mobile Rust development, Code testing, Learning Rust, Anytime, anywhere access, Minimalist interface

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

**In-app purchases:** none


## Frequently asked questions

### Is Matplotlib教程 free?

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

### Is Rust IDE free?

Rust IDE costs $0.99, with no in-app purchases.

### Which has better reviews, Matplotlib教程 or Rust IDE?

Matplotlib教程 is rated higher. Matplotlib教程 averages 3.0 out of 5 from 2 ratings, while Rust IDE averages 2.5 from 6 ratings.

### Do Matplotlib教程 or Rust IDE have ads?

Neither Matplotlib教程 nor Rust IDE shows ads.

### Which is updated more often, Matplotlib教程 or Rust IDE?

Matplotlib教程 ships an update every 21 months, and Rust IDE every 9 days. Most recently, Matplotlib教程 was updated on October 7, 2026 and Rust IDE on October 8, 2026.

### Which is more popular, Matplotlib教程 or Rust IDE?

Matplotlib教程 currently peaks at #197 in the App Store charts, and Rust IDE at #161. Chart position reflects recent download velocity rather than total install base.

---

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