Python Recipes vs Matplotlib教程
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Python Recipes
Learn programming with curated code recipes for Python and SQL. Find ready-to-use solutions for common coding tasks, perfect for exam preparation and interviews. Access examples offline and search quickly.
- Learn Python programming
- Learn SQL programming
- Code recipes and examples
- Offline access
- Quick search functionality
- Exam and interview preparation
Read full descriptionHide full description
An everyday Python reference, from strings and collections to threading and design patterns. Every example comes with an explanation, and most of them run. The construct is on the tip of your tongue, but the exact syntax slips away: • How do you sort a dictionary by value? • How do you serialize a class to JSON and read it back? • How do you start a thread and wait for the result? The app answers with a working example; all that is left is to fit it to your task. • 22 sections: basic types, arrays and collections, classes, files, serialization, functions and lambdas, exceptions, regular expressions, threading, databases, algorithms, design patterns. • Run in the app: the example actually runs and the output appears under the code. Needs an internet connection. • What changed in new versions: 8 sections from Python 3.0 to 3.13, with the old and the new code side by side. • Keyword and function reference: over 200 articles, open in full, with no daily limit. • 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 looks inside 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. The full version unlocks every example, lifts the daily limits and raises the run limit to 30 a day. One purchase, no subscription. Built by a developer for developers. In active development since 2015.
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。
Screenshots
Verdict
The clearest difference is review sentiment: Python Recipes at 83% against Matplotlib教程's 33%. Python Recipes also leads on price (Free vs $1.99) and rating (4.7 vs 3.0). Matplotlib教程's advantage is in-app purchases (none vs 5) and chart position (#187 vs unranked). 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
Python Recipes is free to download; Matplotlib教程 costs $1.99 up front. Python Recipes sells 5 one-off in-app purchases. Matplotlib教程 asks for nothing beyond the download.
Python Recipes holds the better App Store score, 4.7 against 3.0. That said, the two scores are not equally well evidenced: Python Recipes has 83 ratings behind it against 2, so its average is the more settled of the two. Written reviews point the same way: 83% of Python Recipes's written reviews are positive against 33% of Matplotlib教程's.
Python Recipes ships an update every 5 weeks, Matplotlib教程 every 21 months. The most recent releases landed on September 27, 2026 and September 19, 2026 respectively.
| Parameter | Python Recipes | Matplotlib教程 |
|---|---|---|
| Price | Free — better | $1.99 |
| Rating | 4.7 (83 ratings) — better | 3.0 (2 ratings) |
| Positive reviews | 83.3% of reviews — better | 33.3% of reviews |
| Number of ratings | 83 — better | 2 |
| Update frequency | Every 5 weeks — better | Every 21 months |
| Ads | No | No |
| In-app purchases | Yes | No — better |
| Monetization | Free with in-app purchases — better | Paid |
| Best chart rank | — | #187 — better |
| Devices | iPhone, iPad, Mac | iPhone, iPad, iPod |
| Requires iOS | 17.0 | 12.0 — better |
| Further details — not scored | ||
| Size | 10 MB | 15 MB |
| Age rating | 4+ | 4+ |
| Developer | Fedor Obraztsov | 强 马 |
Customer experience
Python Recipes
Matplotlib教程
In-app purchases
Python Recipes
- Оperations with example$0.99
- Unlock the paid topics$0.99
- Python Samples$0.99
Show 2 moreShow fewer
- SQL queries$0.99
- Pro Version – Unlimited$2.99
Matplotlib教程
No in-app purchases
Questions
Is Python Recipes free?
Is Matplotlib教程 free?
Which has better reviews, Python Recipes or Matplotlib教程?
Do Python Recipes or Matplotlib教程 have ads?
Which is updated more often, Python Recipes or Matplotlib教程?
Other comparisons















