Matplotlib教程 vs Rust Recipes
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。
Rust Recipes
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A reference of everyday Rust, from strings and collections to ownership and borrowing, traits, error handling with Result and safe concurrency. Every example comes with an explanation, and most of them run. • 24 sections: simple types, arrays and collections, structs and enums, traits and generics, functions and closures, error handling, regular expressions, threading, files, serialization, algorithms, patterns. • Run in the app: the example really executes and the output appears under the code. Needs an internet connection. • What changed in new versions: 17 sections from Rust 1.26 to Rust 2024, with "before" and "after" code side by side. • Keyword and function reference: 270 articles, fully open with no daily counter. • SQL alongside: over 200 queries against a live practice database - JOIN, GROUP BY, subqueries, data types. • Edit examples and add your own - they stay in the app and are always at hand. • Search runs over the code itself, not just the titles: remember a fragment and you will find the example. • Everything except running works offline. No account needed. WHAT THE FREE VERSION INCLUDES 12 runs and 12 edits a day - the counter resets every morning. The keyword reference is open without limits. Up to 5 examples of your own. Copying in the free app is blocked after five attempts. The full version opens every example, removes the daily limits and raises running to 30 launches a day. One purchase, no subscription. Made by a developer for developers. In development since 2015.
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Verdict
The clearest difference is price: Rust Recipes at Free against Matplotlib教程's $1.99. Rust Recipes also leads on update cadence (every 7 months vs every 21 months). Matplotlib教程's advantage is in-app purchases (none vs 4) and iOS requirement (12.0 vs 18.0). On ads 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
Rust Recipes is free to download; Matplotlib教程 costs $1.99 up front. Rust Recipes sells 4 one-off in-app purchases. Matplotlib教程 asks for nothing beyond the download.
Matplotlib教程 ships an update every 21 months, Rust Recipes every 7 months. The most recent releases landed on November 7, 2026 and November 8, 2026 respectively.
| Parameter | Matplotlib教程 | Rust Recipes |
|---|---|---|
| Price | $1.99 | Free — better |
| Rating | 3.0 (2 ratings) — better | — |
| Positive reviews | 33.3% of reviews | — |
| Number of ratings | 2 — better | — |
| Update frequency | Every 21 months | Every 7 months — better |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | Paid | — |
| Devices | iPhone, iPad, iPod | iPhone, iPad, Mac |
| Requires iOS | 12.0 — better | 18.0 |
| Further details — not scored | ||
| Size | 15 MB | 10 MB |
| Age rating | 4+ | 4+ |
| Developer | 强 马 | Fedor Obraztsov |
In-app purchases
Matplotlib教程
No in-app purchases
Rust Recipes
- Оperations with example$0.99
- SQL queries$0.99
- Rust Samples$0.99
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- Full version$2.99
Questions
Is Matplotlib教程 free?
Is Rust Recipes free?
Do Matplotlib教程 or Rust Recipes have ads?
Which is updated more often, Matplotlib教程 or Rust Recipes?
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