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Matplotlib VS XYplorer

Compare Matplotlib VS XYplorer and see what are their differences

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Matplotlib logo Matplotlib

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

XYplorer logo XYplorer

File Manager for Windows
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • XYplorer Landing page
    Landing page //
    2022-09-26

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.

XYplorer features and specs

  • Portability
    XYplorer is a portable file manager, meaning it can be run from a USB stick without requiring installation.
  • Customizability
    The software offers a wide range of customization options, allowing users to tailor the interface and features to their specific needs.
  • Powerful Search Functionality
    XYplorer includes a robust search feature that supports Boolean logic, regex, and content searching.
  • Tab-based Interface
    The tabbed browsing makes it easy to manage multiple folders simultaneously, similar to using a web browser.
  • Scripting Capabilities
    Users can automate tasks and extend functionality using the scripting feature built into the software.
  • No Installation Required
    Since it's portable, XYplorer does not need to be installed, making it a good choice for users who do not have admin rights on their systems.
  • Regular Updates
    The software receives frequent updates, ensuring that it stays current with new features and improvements.
  • Customization of Keyboard Shortcuts
    Users can redefine keyboard shortcuts to streamline their workflow.

Possible disadvantages of XYplorer

  • Cost
    XYplorer is not free; it requires a one-time payment or a subscription, which can be a deterrent for some users.
  • Windows Only
    The software is exclusively available for Windows, limiting its usability for those on other operating systems such as macOS or Linux.
  • Learning Curve
    The extensive features and customization options can be overwhelming for new users, leading to a steep learning curve.
  • Potential Overkill for Basic Users
    The advanced capabilities and extensive feature set may be more than what a basic user needs, making simpler file managers a better fit for them.
  • No Cloud Integration
    XYplorer lacks built-in integration with popular cloud storage services, requiring third-party solutions or manual management.
  • Limited Customer Support
    While there is a user community and documentation, direct customer support may be limited compared to larger companies.
  • Resource Intensity
    It can be resource-intensive on older or less powerful systems, potentially slowing down performance.

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 XYplorer

Overall verdict

  • Overall, XYplorer is considered a strong choice for users looking for a versatile and powerful file management solution. Its rich feature set and user-friendly interface deserve praise; however, it might be more than needed for casual users who may not leverage all its capabilities.

Why this product is good

  • XYplorer is highly regarded for its extensive set of features, including a customizable dual-pane interface, tabbed browsing, powerful search capabilities, and scripting support. It offers robust file management tools that cater to power users who need more functionality than provided by default file explorers. Additionally, it doesn't require installation, allowing for portable use.

Recommended for

  • Power users who require advanced file management features.
  • IT professionals and system administrators who need a portable solution.
  • Users who favor extensive customization and scripting capabilities.
  • People who frequently manage large volumes of files and directories.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

XYplorer videos

+ Add

3D Tidy Up! XYplorer

More videos:

  • Review - XYplorer - Manage and track files on your PC - Download Video Previews
  • Review - XYplorer Top # 20 Facts

Category Popularity

0-100% (relative to Matplotlib and XYplorer)

Matplotlib

XYplorer

Technical Computing
100 100%
Technical Computing
0% 0
File Manager
0 0%
File Manager
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
FTP Client
0 0%
FTP Client
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 XYplorer

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

XYplorer Reviews

14 Alternative File Managers To Replace Windows 10 File Explorer
If you want both tabbed browsing and dual window view, then XYplorer got you covered. It lists folders in two vertical windows in which you can further open tabs to add more folders; just like a browser. There is also a directory panel on the right side to quickly access folders inside the windows and tabs.
Source: geekflare.com
10 Best Duplicate File Finder & Remover for Windows 10,11 PC (Free & Paid)
XYplorer is a file manager but has a convenient and customizable free duplicate data cleaner for Windows. This is an exact search tool to look into all the parts of storage space on your computer. The customizable filters will make your search quick and easy.
Source: wethegeek.com
8 Best Total Commander Alternatives & Competitors in 2022 (Free & Paid)
Xyplorer is a file manager and explorer replacement for windows. It’s fast, powerful, portable, dual paned, and multi-tabbed. Xyplorer – file manager for windows.
Source: www.softwarediscover.com
Five Best Alternative File Managers
XYPlorer is a completely portable file manager with most of the same bells and whistles as the rest. The major difference is that XYPlorer doesn't offer a dual-pane interface; instead its tabbed interface allows you to drag and drop files from your current window to any tab, giving it similar functionality to dual-pane. It's a keyboard lover's dream, complete with...
Source: lifehacker.com

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.

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 / 2 months 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 / 6 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 / 11 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 11 months ago
View more

XYplorer mentions (0)

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

What are some alternatives?

When comparing Matplotlib and XYplorer, 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.

FreeCommander - FreeCommander is an easy-to-use alternative to the standard windows file manager. The program helps you with daily work in Windows. Here you can find all the necessary functions to manage your data stock.

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

Total Commander - A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.

Plotly - Low-Code Data Apps

Double Commander - Double Commander is a cross-platform open source file manager with two panels side by side.

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