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Epic Games VS Matplotlib

Compare Epic Games VS Matplotlib and see what are their differences

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Epic Games logo Epic Games

Computer game storefront that gives 88% of revenue to developers

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Epic Games Landing page
    Landing page //
    2022-04-28
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Epic Games features and specs

  • Free Games
    Epic Games Store offers free games on a regular basis, which attracts new users and provides added value to existing ones.
  • Exclusive Titles
    The store secures exclusive rights to certain games, offering unique titles that are not available on other platforms.
  • Developer-Friendly Revenue Split
    Epic Games Store has a favorable revenue split for developers, offering 88% of the revenue to them, compared to the more standard 70%. This encourages more developers to use the platform.
  • User-Friendly Interface
    The store features a clean and straightforward interface, making it easy for users to navigate and find new games.
  • Cross-Platform Support
    Epic Games Store supports a wide range of platforms, including PC and macOS, allowing for a flexible gaming experience.

Possible disadvantages of Epic Games

  • Limited Library
    Compared to other platforms like Steam, Epic Games Store has a more limited selection of games, which can be a drawback for some users.
  • Poor Community Features
    The platform lacks community features like forums, user reviews, and social networking, limiting user interaction and engagement.
  • Exclusivity Controversies
    Their practice of securing exclusive titles sometimes leads to backlash from gamers who prefer having all their games on one platform.
  • Frequent Updates
    Epic Games Store often requires updates, which can be inconvenient and time-consuming for some users.
  • Lack of Features
    Features like cloud saves, achievements, and mod support are either lacking or not as robust as in other platforms.

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.

Epic Games videos

+ Add

We have thoughts about the Epic Games Store - TalkLinked #4

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Epic Games and Matplotlib)

Epic Games

Matplotlib

Games
100 100%
Games
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Online Games
100 100%
Online Games
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 Epic Games and Matplotlib

Epic Games Reviews

Best Free Game Launcher for Windows PC
If you love Epic Games’ Fortnite then you can download it through Epic Games’ launcher. Here, you can get all the video games and software developed by Epic Game. And its availability of downloads isn’t restricted to the Epic Game creation only, you can download Unreal Engine creations too. To download the launcher go to epicgames.com.
Source: www.thewindowsclub.com
The best Steam alternatives for PC gamers
As we’ve already noted in our Epic Games Store vs Steam feature, the Epic Store doesn’t feel great to use yet, lacking in even basic features like cloud saves and a search bar.
Source: www.techradar.com
The 7 Best Steam Alternatives
Steam has now got some serious competition from the house behind Fortnite. In December 2018, Epic launched the Epic Games Store, a PC gaming marketplace that will stand out from the bunch by offering developers 88 percent of all sales revenue -- a significantly higher cut than what most competitors offer.
Source: www.tomsguide.com

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.

Epic Games mentions (0)

We have not tracked any mentions of Epic Games yet. Tracking of Epic Games 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 Epic Games and Matplotlib, you can also consider the following products

Ubisoft Club - Ubisoft Club app enables you to get updates about your favorite games timely.

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

Origin - Origin is your new digital playground. It’s where you go to find the best that EA has to offer.

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

itch.io - An online game marketplace and community.

Plotly - Low-Code Data Apps

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