# Matplotlib教程 vs UDevice

The clearest difference is review sentiment: UDevice at 78% against Matplotlib教程's 33%. UDevice also leads on rating (4.4 vs 3.0) and update cadence (monthly vs every 21 months). Matplotlib教程's advantage is price ($1.99 vs $4.99) and iOS requirement (12.0 vs 16.0). On ads, in-app purchases and device support there is nothing between them.

Matplotlib教程 costs $1.99 and UDevice $4.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UDevice holds the better App Store score, 4.4 against 3.0. That said, the two scores are not equally well evidenced: UDevice has 36 ratings behind it against 2, so its average is the more settled of the two. Written reviews point the same way: 33% of Matplotlib教程's written reviews are positive against 78% of UDevice's.

Matplotlib教程 ships an update every 21 months, UDevice monthly. The most recent releases landed on November 11, 2026 and November 12, 2026 respectively.

## The numbers

| Metric | Matplotlib教程 | UDevice |
| --- | --- | --- |
| Price | **$1.99** | $4.99 |
| Rating | [3.0 (2 ratings)](https://appshunter.io/ios/app/matplotlib/id1583770274/reviews) | **[4.4 (36 ratings)](https://appshunter.io/ios/app/udevice-dev-assistant/id1608053878/reviews)** |
| Number of ratings | 2 | **36** |
| Positive reviews | 33.3% of reviews | **78.1% of reviews** |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 21 months | **Monthly** |
| Monetization | Paid | **Free** |
| Best chart rank | — | **#16** |
| Size | 15 MB | 163 MB |
| Requires iOS | **12.0** | 16.0 |
| Devices | iPhone, iPad, iPod | iPhone, iPad, Apple Watch |
| 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)

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


### UDevice

[App page](https://appshunter.io/ios/app/udevice-dev-assistant/id1608053878)

**Currently charting:** #16 Top Paid · Developer Tools, #121 Top Grossing · Developer Tools (US App Store)

This app offers a comprehensive suite of developer and testing tools. It includes network utilities like HTTP(s) capture and DNS parsing, alongside system information and file management capabilities. Ideal for development, testing, and device management.

**Highlights:** HTTP(s) Capture/Rewrite, SSH and Terminal access, Python3 interpreter, Cookie editing, Network utilities (Ping, DNS, Traceroute, Port Scan), File manager, Device fingerprinting and system info

**Features:** macOS Compatibility, Safari Extension, Apple Watch app, Vision Pro support, iPhone Duo 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 UDevice free?

UDevice costs $4.99, with no in-app purchases.

### Which has better reviews, Matplotlib教程 or UDevice?

UDevice is rated higher. Matplotlib教程 averages 3.0 out of 5 from 2 ratings, while UDevice averages 4.4 from 36 ratings.

### Do Matplotlib教程 or UDevice have ads?

Neither Matplotlib教程 nor UDevice shows ads.

### Which is updated more often, Matplotlib教程 or UDevice?

Matplotlib教程 ships an update every 21 months, and UDevice monthly. Most recently, Matplotlib教程 was updated on November 11, 2026 and UDevice on November 12, 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.*