Comparison

View Source Premier vs Matplotlib教程

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

View Source Premier

Analyze and view HTML, XML, JavaScript, CSS, JSON, and RSS code with a built-in simulator, error tracking, and request management tools. Easily format code, test JavaScript, and inspect styles and images. Supports multiple devices for enhanced productivity.

Highlights
  • Code viewing and analysis
  • Built-in simulator
  • Error tracking
  • JavaScript terminal testing
  • Style and image inspection
  • Request management
  • Code beautifier
Features
Read full description

A multifunctional tool for analyzing, debugging, and viewing structured data and web code — including HTML, XML, JSON, CSS, JavaScript, RSS, ATOM, and other supported formats. The application is designed for developers and professionals who value precision, control, and efficiency. Key features: • Cross-platform support: iPhone, iPad, and Mac • View code in both structured and plain text formats • Validation and error detection for HTML, XML, and JSON • Built-in web simulator with customizable screen sizes • JavaScript console for interactive code testing • HEX viewer for analyzing binary files • Text search with regular expression support • CSS style inspection for page elements • HTTP request handling with flexible configuration for any scenario • Save, edit, and re-run previous requests • Code formatting with built-in Code Beautifier • HTTP response analysis: headers, cookies, and response data • Advanced copying of code fragments and structured elements • Built-in audio playback for files detected in HTML code or opened within the app • Open and analyze files stored on your device The application provides full control over data analysis and streamlines everyday tasks for developers.

About

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.

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
Read 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

View Source Premier4 screens
Matplotlib教程4 screens

Verdict

The call

The clearest difference is rating: View Source Premier at 4.1 against Matplotlib教程's 3.0. View Source Premier also leads on update cadence (every 3 weeks vs every 21 months) and ratings volume (27 vs 2). Matplotlib教程's advantage is price ($1.99 vs $6.99) and iOS requirement (12.0 vs 15.0). 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

CostPrice · In-app purchases · Ads · Monetization

View Source Premier costs $6.99 and Matplotlib教程 $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.

ReceptionRating · Positive reviews · Number of ratings

View Source Premier holds the better App Store score, 4.1 against 3.0. That said, the two scores are not equally well evidenced: View Source Premier has 27 ratings behind it against 2, so its average is the more settled of the two. Written reviews point the same way: 47% of View Source Premier's written reviews are positive against 33% of Matplotlib教程's.

UpkeepUpdate frequency

View Source Premier ships an update every 3 weeks, Matplotlib教程 every 21 months. The most recent releases landed on October 10, 2026 and October 7, 2026 respectively.

Scorecard6 real differences · 5 level
View Source Premier versus Matplotlib教程: the parameters behind the verdict, then further details
ParameterView Source PremierMatplotlib教程
Price$6.99$1.99 — better
Rating4.1 (27 ratings) — better3.0 (2 ratings)
Positive reviews47.1% of reviews — better33.3% of reviews
Number of ratings27 — better2
Update frequencyEvery 3 weeks — betterEvery 21 months
AdsNoNo
In-app purchasesNoNo
MonetizationPaidPaid
Best chart rank#88 — better#197
DevicesiPhone, iPad, iPod, Mac — betteriPhone, iPad, iPod
Requires iOS15.012.0 — better
Further details — not scored
Size5 MB15 MB
Age rating4+4+
DeveloperAndrey Uspanov强 马

Customer experience

View Source Premier

All ratings27 ratings
Positive70.4%
Neutral14.8%
Negative14.8%
Written reviews17 reviews
Positive47.1%
Neutral23.5%
Negative29.4%

Matplotlib教程

All ratings2 ratings
Positive50.0%
Neutral0.0%
Negative50.0%
Written reviews3 reviews
Positive33.3%
Neutral0.0%
Negative66.7%

In-app purchases

None

View Source Premier

No in-app purchases

None

Matplotlib教程

No in-app purchases

Questions

Is View Source Premier free?
View Source Premier costs $6.99, 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, View Source Premier or Matplotlib教程?
View Source Premier is rated higher. View Source Premier averages 4.1 out of 5 from 27 ratings, while Matplotlib教程 averages 3.0 from 2 ratings.
Do View Source Premier or Matplotlib教程 have ads?
Neither View Source Premier nor Matplotlib教程 shows ads.
Which is updated more often, View Source Premier or Matplotlib教程?
View Source Premier ships an update every 3 weeks, and Matplotlib教程 every 21 months. Most recently, View Source Premier was updated on October 10, 2026 and Matplotlib教程 on October 7, 2026.
Which is more popular, View Source Premier or Matplotlib教程?
View Source Premier currently peaks at #88 in the App Store charts, and Matplotlib教程 at #197. Chart position reflects recent download velocity rather than total install base.

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