# Matplotlib教程 vs YAML Tools

The clearest difference is rating: YAML Tools at 5.0 against Matplotlib教程's 3.0. YAML Tools also leads on update cadence (monthly vs every 21 months) and price ($0.99 vs $1.99). Matplotlib教程's advantage is iOS requirement (12.0 vs 15.6). On ratings volume, ads, in-app purchases and monetization model there is nothing between them.

Matplotlib教程 costs $1.99 and YAML Tools $0.99 up front. Neither carries in-app purchases, so what you see is what you pay.

YAML Tools holds the better App Store score, 5.0 against 3.0. Both are backed by a comparable volume of ratings — 2 and 1 respectively.

Matplotlib教程 ships an update every 21 months, YAML Tools monthly. The most recent releases landed on October 7, 2026 and October 6, 2026 respectively.

## The numbers

| Metric | Matplotlib教程 | YAML Tools |
| --- | --- | --- |
| Price | $1.99 | **$0.99** |
| Rating | [3.0 (2 ratings)](https://appshunter.io/ios/app/matplotlib/id1583770274/reviews) | **[5.0 (1 ratings)](https://appshunter.io/ios/app/yaml-tools/id6758571420/reviews)** |
| Number of ratings | **2** | 1 |
| Positive reviews | 33.3% of reviews | — |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 21 months | **Monthly** |
| Monetization | Paid | Paid |
| Best chart rank | #197 | **#96** |
| Size | 15 MB | 30 MB |
| Requires iOS | **12.0** | 15.6 |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Age rating | 4+ | 4+ |
| Developer | [强 马](https://appshunter.io/developer/687218962) | [Mohammed Aadhil](https://appshunter.io/developer/1526081218) |

## What reviewers say

### Matplotlib教程

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

**Currently charting:** #197 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


### YAML Tools

[App page](https://appshunter.io/ios/app/yaml-tools/id6758571420)

**Currently charting:** #96 Top Paid · Developer Tools (US App Store)

A comprehensive YAML utility for developers on iOS. Visualize, format, convert, and generate code from YAML files. Includes validation and a dedicated syntax keyboard for efficient editing.

**Highlights:** Interactive Tree and Table View for YAML visualization, Convert YAML to JSON, XML, CSV, and more, Generate type-safe model classes for multiple languages, Real-time JSON Schema generation and validation, Dedicated YAML syntax keyboard overlay, Format and minify YAML structures

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is Matplotlib教程 free?

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

### Is YAML Tools free?

YAML Tools costs $0.99, with no in-app purchases.

### Which has better reviews, Matplotlib教程 or YAML Tools?

YAML Tools is rated higher. Matplotlib教程 averages 3.0 out of 5 from 2 ratings, while YAML Tools averages 5.0 from 1 ratings.

### Do Matplotlib教程 or YAML Tools have ads?

Neither Matplotlib教程 nor YAML Tools shows ads.

### Which is updated more often, Matplotlib教程 or YAML Tools?

Matplotlib教程 ships an update every 21 months, and YAML Tools monthly. Most recently, Matplotlib教程 was updated on October 7, 2026 and YAML Tools on October 6, 2026.

### Which is more popular, Matplotlib教程 or YAML Tools?

Matplotlib教程 currently peaks at #197 in the App Store charts, and YAML Tools at #96. 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.*