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Matplotlib VS Ghost Inspector

Compare Matplotlib VS Ghost Inspector and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Ghost Inspector logo Ghost Inspector

Easily create automated browser tests for your websites and web apps. Ensure everything works and looks the way it should. No coding required. 14 day free trial!
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Ghost Inspector Landing page
    Landing page //
    2023-07-06

Matplotlib

Website
matplotlib.org
Pricing URL
-
$ Details
Platforms
-
Edit details

Ghost Inspector

Website
ghostinspector.com
Pricing URL
Official Ghost Inspector Pricing
$ Details
paid Free Trial $99.0 / Monthly (10,000 test runs per month; 5 member seats)
Platforms
Browser Google Chrome Firefox REST API Wordpress JavaScript Web Slack Docker AWS
Edit details

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Ghost Inspector features and specs

  • Ease of Use
    Ghost Inspector provides a user-friendly interface that simplifies the process of creating and managing automated tests. Non-technical users can also easily create tests using the browser extension.
  • No Coding Required
    Tests can be created without writing any code, making it accessible to a broader range of users, including those without a technical background.
  • Browser Extension
    The browser extension allows users to record actions directly in their browser, which is convenient for quickly setting up tests.
  • Integration
    Ghost Inspector integrates with various CI/CD tools and platforms, such as Jenkins, CircleCI, and Slack, allowing for seamless integration into existing workflows.
  • Visual Testing
    The platform supports visual testing to catch layout issues by comparing screenshots of expected and actual states of web pages.
  • Scheduling
    Tests can be scheduled to run at specific intervals, which helps in continuous monitoring of web applications.
  • Team Collaboration
    Collaborative features such as team management and shared test suites make it easier for multiple team members to work together.

Possible disadvantages of Ghost Inspector

  • Cost
    Ghost Inspector is a paid service, and while there is a free tier, the premium plans can become costly, particularly for small teams or startups.
  • Limited Advanced Customization
    For highly complex testing scenarios, the lack of coding may be restrictive. Users might find it challenging to implement advanced custom logic compared to code-based testing frameworks.
  • Performance Testing
    The platform is not designed for performance testing, so it is not a suitable solution if you need detailed performance metrics.
  • Learning Curve for Complex Tests
    Although the interface is user-friendly, creating complex tests can still require a learning curve, particularly for users with no prior experience in automated testing.
  • Environment Dependency
    Tests created using the browser extension can sometimes behave differently on different environments, requiring additional tuning and maintenance.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Analysis of Ghost Inspector

Overall verdict

  • Yes, Ghost Inspector is a good tool for many automation testing needs.

Why this product is good

  • It offers a user-friendly interface that allows for easy creation and management of automated browser tests.
  • The tool supports integration with a variety of CI/CD platforms, making it suitable for DevOps environments.
  • Ghost Inspector provides robust reporting and notifications to keep teams informed about test outcomes.
  • It is cloud-based, which means there's no need for local infrastructure setup or maintenance.
  • The tool supports visual testing by capturing screenshots at each step of the test, helping to identify UI regressions.

Recommended for

  • QA engineers and testers looking for a straightforward, codeless solution to automate browser testing.
  • Development teams seeking to integrate end-to-end testing into their CI/CD pipeline easily.
  • Organizations that require reliable, scalable browser testing solutions without the overhead of maintaining testing infrastructure.
  • Product teams looking for non-technical team members to participate in creating and maintaining automated tests.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Ghost Inspector videos

+ Add

Ghost Inspector - Automated UI Testing and Monitoring

More videos:

  • Review - Data-driven Testing with Selenium using Ghost Inspector
  • Review - Automated Testing with Ghost Inspector

Category Popularity

0-100% (relative to Matplotlib and Ghost Inspector)

Matplotlib

Ghost Inspector

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Website Testing
0 0%
Website Testing
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Automated Testing
0 0%
Automated Testing
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Matplotlib and Ghost Inspector

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Ghost Inspector Reviews

Top 10 Best Selenium Alternatives You Should Try
The new feature of Ghost Inspector is that the users can export their tests to other tools and can also import them back into Ghost Inspector.
Source: www.softwaretestinghelp.com
Best Selenium Alternatives (Free and Paid) in 2021
Using Ghost Inspector you can build or record automated tests for your application right in your browser. It is used for website testing, browser testing, visual testing, UI testing, E2E testing. No coding is required to use Ghost Inspector. Ghost Inspector is a Selenium IDE alternative. It works through the Chrome plugin.
Source: www.softwaretestingmaterial.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Ghost Inspector. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Ghost Inspector. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

Ghost Inspector mentions (8)

  • 25 Best SaaS Testing Tools [2024]
    Ghost Inspector is an excellent choice for teams looking to automate browser testing without writing code. As one of the best SaaS testing tools, it enables users to effortlessly create automated tests, allowing them to quickly identify and fix issues on their websites and web applications. This approach enhances overall efficiency and helps maintain a seamless user experience. - Source: dev.to / over 1 year ago
  • Cheap tests with Ghost Inspector
    Ghost Inspector is a testing service for monitoring key site functionality. All tests are stored in the cloud and running continuously and notify you on error or variance is detected. - Source: dev.to / about 2 years ago
  • How do you full functional/regression tests in Svelte/Sveltekit?
    Playwright is good but there is also other kind of tools like https://reflect.run/ and https://ghostinspector.com/ that are perfect for end user testing. Hope it helps. Source: over 3 years ago
  • Ask HN: Which E2E tool to pick? Need reliability and speed
    It depends on your stack and app type, but I had great experience with Ghost Inspector https://ghostinspector.com/. - Source: Hacker News / over 3 years ago
  • Is Codeless Automation Testing Revolutionizing the Testing Industry?
    Ghost Inspector provides codeless automation testing for web apps and websites. Its intuitive editor allows easy maintenance, continuous testing, requiring no coding skills. It has extensive features suitable for both novice QA testers and seasoned test engineers. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Matplotlib and Ghost Inspector, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

TestMu AI (Formerly LambdaTest) - Worldโ€™s first full-stack Agentic AI Quality Engineering platform.

NumPy - NumPy is the fundamental package for scientific computing with Python

BrowserStack - BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

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