Matplotlib教程 vs 编程盒子 · Programming Box
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
Read full descriptionHide full description
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。
编程盒子 · Programming Box
This tool integrates advanced programming knowledge, skills, and experience, covering topics like design patterns, architecture, and deployment. It's a valuable resource for experienced programmers, featuring an auto-scrolling screen and color annotation.
- Integrates advanced programming knowledge
- Covers design and deployment patterns
- Explains architecture patterns (e.g., clean architecture, microservices)
- Auto-scrolling screen for easy reading
- Color annotation for content marking
Read full descriptionHide full description
Programming Box is a tool that integrates advanced programming knowledge, skills and experience. For example, common drift programming, design patterns, architecture design, and deployment patterns. The architecture pattern includes clean architecture, onion architecture, and microservices architecture etc. It is a pillow book worth cherishing for advanced programming engineers. You can also easily read the automatic scrolling screen and annotate the content in different colors.
Screenshots
Verdict
The clearest difference is review sentiment: 编程盒子 · Programming Box at 100% against Matplotlib教程's 33%. 编程盒子 · Programming Box also leads on price ($0.99 vs $1.99) and iOS requirement (9.0 vs 12.0). On ads, in-app purchases, monetization model and chart position 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 编程盒子 · Programming Box $0.99 up front. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Matplotlib教程 | 编程盒子 · Programming Box |
|---|---|---|
| Price | $1.99 | $0.99 — better |
| Rating | 3.0 (2 ratings) — better | — |
| Positive reviews | 33.3% of reviews | 100.0% of reviews — better |
| Number of ratings | 2 — better | — |
| Update frequency | Every 21 months | — |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Best chart rank | #193 — better | #199 |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 | 9.0 — better |
| Further details — not scored | ||
| Size | 15 MB | 33 MB |
| Age rating | 4+ | 4+ |
| Developer | 强 马 | 何均 邓 |
Customer experience
Matplotlib教程
编程盒子 · Programming Box
In-app purchases
Matplotlib教程
No in-app purchases
编程盒子 · Programming Box
No in-app purchases
Questions
Is Matplotlib教程 free?
Is 编程盒子 · Programming Box free?
Do Matplotlib教程 or 编程盒子 · Programming Box have ads?
Which is more popular, Matplotlib教程 or 编程盒子 · Programming Box?
Other comparisons















