Matplotlib教程 vs UDevice
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Matplotlib教程
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.
- 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
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Matplotlib 是 Python 的绘图库，它能让使用者很轻松地将数据图形化，并且提供多样化的输出格式。 Matplotlib 可以用来绘制各种静态，动态，交互式的图表。 Matplotlib 是一个非常强大的 Python 画图工具，我们可以使用该工具将很多数据通过图表的形式更直观的呈现出来。 Matplotlib 可以绘制线图、散点图、等高线图、条形图、柱状图、3D 图形、甚至是图形动画等等。
UDevice
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.
- 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
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Make device debugging, network diagnostics, and security research more efficient. The app includes a rich set of professional tools covering network packet capture, request rewriting, SSH, local terminal, Python 3, file management, cookie editing, log analysis, JSON formatting, regular expressions, Ping, DNS lookup, Traceroute, port scanning, LAN scanning, and more. You can also view real-time device status and key system information, including CPU, system, network, memory, display, browser environment, and other device data, helping you quickly understand the current state of your device. Whether for development debugging, testing and troubleshooting, security research, or daily device management, everything can be done in one app.
Screenshots
Verdict
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 (every 3 weeks 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.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
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 every 3 weeks. Both last shipped on November 7, 2026.
| Parameter | Matplotlib教程 | UDevice |
|---|---|---|
| Price | $1.99 — better | $4.99 |
| Rating | 3.0 (2 ratings) | 4.4 (36 ratings) — better |
| Positive reviews | 33.3% of reviews | 78.1% of reviews — better |
| Number of ratings | 2 | 36 — better |
| Update frequency | Every 21 months | Every 3 weeks — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Free — better |
| Best chart rank | — | #3 — better |
| Devices | iPhone, iPad, iPod | iPhone, iPad, Apple Watch |
| Requires iOS | 12.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 15 MB | 159 MB |
| Age rating | 4+ | 4+ |
| Developer | 强 马 | Gansu Zhenxian Network Technology Co., Ltd. |
Customer experience
Matplotlib教程
UDevice
In-app purchases
Matplotlib教程
No in-app purchases
UDevice
No in-app purchases
Questions
Is Matplotlib教程 free?
Is UDevice free?
Which has better reviews, Matplotlib教程 or UDevice?
Do Matplotlib教程 or UDevice have ads?
Which is updated more often, Matplotlib教程 or UDevice?
Other comparisons
