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Kinguin VS Matplotlib

Compare Kinguin VS Matplotlib and see what are their differences

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Kinguin logo Kinguin

Marketplace to buy/sell game keys for a myriad of platforms including: Battle.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Kinguin Landing page
    Landing page //
    2019-07-16
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Kinguin features and specs

  • Wide Selection of Products
    Kinguin offers a wide variety of digital game keys, software, and other virtual goods, making it a one-stop shop for a diverse range of digital needs.
  • Competitive Pricing
    The platform often features competitive prices and discounts, which can be significantly lower than those found on official stores or other marketplaces.
  • User Reviews and Ratings
    User reviews and ratings for sellers and products help buyers make informed decisions and increase transparency.
  • 24/7 Customer Support
    Kinguin provides round-the-clock customer support to address issues and answer questions, enhancing the overall user experience.
  • Kinguin Buyer Protection
    The platform offers a Buyer Protection program to safeguard purchases, providing an additional layer of security for buyers.

Possible disadvantages of Kinguin

  • Risk of Unauthorized or Invalid Keys
    There is a risk of purchasing unauthorized or invalid keys, as some sellers on the marketplace may not be reliable or legitimate.
  • Variable Seller Reliability
    Since Kinguin is a marketplace with multiple sellers, the reliability and quality of service can vary greatly between different vendors.
  • Potential Region Restrictions
    Some digital keys may have region restrictions, meaning they can only be activated in certain geographical areas, which can be inconvenient for buyers.
  • Complicated Refund Process
    The refund process can be complicated and time-consuming, especially if there are disputes between buyers and sellers.
  • Additional Fees
    There may be additional fees, such as those for Buyer Protection, that can increase the overall cost of a purchase.

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.

Kinguin videos

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First Time Buyer Review Kinguin

More videos:

  • Review - Yes, Kinguin is Legit

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Kinguin and Matplotlib)

Kinguin

Matplotlib

Games
100 100%
Games
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Action
100 100%
Action
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
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 Kinguin and Matplotlib

Kinguin Reviews

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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 doesn’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

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 107 times since March 2021. 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.

Kinguin mentions (0)

We have not tracked any mentions of Kinguin yet. Tracking of Kinguin recommendations started around Mar 2021.

Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 1 month ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 9 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

What are some alternatives?

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

ARPAY - AR-PAY.com, All-in-one Retail and Payments. You can access your favorite internet services: online games, e-wallets, console games, online shopping cards, and many more!

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

Instant Gaming - Instant-Gaming.com - All your favourites games for Steam, Origin, Battle.net, Uplay and Indie games up to 70% off! Digital games, Instant delivery 24/7!

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

G2A - Enjoy the vast offer of Steam, Origin, Uplay, Battle.net, GOG, PSN and XBOX CD-Keys at the most attractive prices on the market. Don’t overpay – buy cheap on G2A.COM!

Plotly - Low-Code Data Apps

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