# SQL Recipes Pro vs Matplotlib教程

The clearest difference is review sentiment: SQL Recipes Pro at 100% against Matplotlib教程's 33%. SQL Recipes Pro also leads on rating (5.0 vs 3.0) and update cadence (every 3 months vs every 21 months). Matplotlib教程's advantage is iOS requirement (12.0 vs 17.0). On price, ratings volume, ads and in-app purchases there is nothing between them.

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

SQL Recipes Pro holds the better App Store score, 5.0 against 3.0. Both are backed by a comparable volume of ratings — 3 and 2 respectively. Written reviews point the same way: 100% of SQL Recipes Pro's written reviews are positive against 33% of Matplotlib教程's.

SQL Recipes Pro ships an update every 3 months, Matplotlib教程 every 21 months. The most recent releases landed on October 6, 2026 and October 7, 2026 respectively.

## The numbers

| Metric | SQL Recipes Pro | Matplotlib教程 |
| --- | --- | --- |
| Price | $1.99 | $1.99 |
| Rating | **[5.0 (3 ratings)](https://appshunter.io/ios/app/sql-recipes-pro/id1580309766/reviews)** | [3.0 (2 ratings)](https://appshunter.io/ios/app/matplotlib/id1583770274/reviews) |
| Number of ratings | **3** | 2 |
| Positive reviews | **100.0% of reviews** | 33.3% of reviews |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | **Every 3 months** | Every 21 months |
| Monetization | Paid | Paid |
| Best chart rank | **#107** | #186 |
| Size | 5 MB | 15 MB |
| Requires iOS | 17.0 | **12.0** |
| Devices | iPhone, iPad, Mac | iPhone, iPad, iPod |
| Age rating | 4+ | 4+ |
| Developer | [Fedor Obraztsov](https://appshunter.io/developer/1012115119) | [强 马](https://appshunter.io/developer/687218962) |

## What reviewers say

### SQL Recipes Pro

[App page](https://appshunter.io/ios/app/sql-recipes-pro/id1580309766)

**Currently charting:** #107 Top Paid · Developer Tools (US App Store)

Learn SQL syntax with over 150 tested code examples for common queries and commands. Find ready-to-use solutions for database tasks, perfect for exam prep or interviews. Access all examples offline and search quickly by code or topic.

**Highlights:** 150+ SQL code examples, Offline access, Quick search functionality, Exam and interview preparation, Cross-platform (iOS/macOS), Tested code recipes

**In-app purchases:** none


### Matplotlib教程

[App page](https://appshunter.io/ios/app/matplotlib/id1583770274)

**Currently charting:** #186 Top Paid · Developer Tools (US App Store)

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


## Frequently asked questions

### Is SQL Recipes Pro free?

SQL Recipes Pro costs $1.99, with no in-app purchases.

### Is Matplotlib教程 free?

Matplotlib教程 costs $1.99, with no in-app purchases.

### Which has better reviews, SQL Recipes Pro or Matplotlib教程?

SQL Recipes Pro is rated higher. SQL Recipes Pro averages 5.0 out of 5 from 3 ratings, while Matplotlib教程 averages 3.0 from 2 ratings.

### Do SQL Recipes Pro or Matplotlib教程 have ads?

Neither SQL Recipes Pro nor Matplotlib教程 shows ads.

### Which is updated more often, SQL Recipes Pro or Matplotlib教程?

SQL Recipes Pro ships an update every 3 months, and Matplotlib教程 every 21 months. Most recently, SQL Recipes Pro was updated on October 6, 2026 and Matplotlib教程 on October 7, 2026.

### Which is more popular, SQL Recipes Pro or Matplotlib教程?

SQL Recipes Pro currently peaks at #107 in the App Store charts, and Matplotlib教程 at #186. Chart position reflects recent download velocity rather than total install base.

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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.*