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Matplotlib VS Midnight Commander

Compare Matplotlib VS Midnight Commander 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...

Midnight Commander logo Midnight Commander

GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Midnight Commander Landing page
    Landing page //
    2018-09-29

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.

Midnight Commander features and specs

  • User-Friendly Interface
    Midnight Commander provides a text-based user interface that is relatively easy to navigate, unlike traditional command-line interfaces, which can be intimidating for new users.
  • Two-pane File Manager
    The dual-pane layout allows users to perform file operations such as moving and copying files between two locations effortlessly.
  • Built-in Editor
    Midnight Commander includes a built-in text editor (mcedit) that can be handy for quickly editing configuration files or scripts.
  • Connectivity Options
    It supports various network protocols like FTP, SFTP, and Samba, enabling users to manage files on remote systems as easily as on local drives.
  • Customizability
    Users can customize key bindings, color schemes, and panels to better suit their needs and workflow preferences.
  • Cross-Platform
    Midnight Commander is available on multiple operating systems, including Linux, macOS, and Windows, offering a consistent experience across platforms.
  • Search Capabilities
    Advanced search options make it easy to find files and text within files, which is useful for a variety of tasks, from coding to administration.

Possible disadvantages of Midnight Commander

  • Limited GUI Features
    Being a text-based application, it lacks some of the graphical features and mouse interactions available in graphical file managers.
  • Learning Curve
    While more user-friendly than the command line, it still requires some time to learn and get accustomed to the various key bindings and functionalities.
  • Dependency on Terminal
    As a terminal-based application, it requires a terminal emulator, which might not be as efficient or convenient as using a native graphical application for some users.
  • Limited Advanced Features
    For complex file management tasks, it may not offer the advanced features or plugins available in more robust file managers.
  • No Built-in Preview
    Unlike some graphical file managers, it doesn't provide a built-in preview of files (like images or PDFs), which can be a drawback for certain use cases.
  • Dependency on Configuration Files
    Customization often necessitates editing configuration files manually, which could be a deterrent for users who are not comfortable with text-based configurations.

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 Midnight Commander

Overall verdict

  • Yes, Midnight Commander is considered a good tool by many users, especially those who frequently work in command-line environments. Its efficiency and robustness make it a favorite among system administrators and developers.

Why this product is good

  • Midnight Commander is a popular and powerful file manager for Unix-like systems. It features a text user interface, making it suitable for command-line environments. It provides all essential file management functionalities, including copying, moving, renaming, and even supports accessing and browsing through FTP or SSH, making it versatile for various tasks.

Recommended for

    Midnight Commander is highly recommended for users who are comfortable working in command-line environments. It is particularly suitable for system administrators, developers, and power users who need a reliable and efficient file management tool with advanced features like remote file system browsing.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Midnight Commander videos

EzeeLinux Show 18.15 | GNU Midnight Commander

More videos:

  • Review - 16 - Midnight Commander, Part 1 of 3
  • Review - Midnight Commander || Installation and short review || Ubuntu || Fedora

Category Popularity

0-100% (relative to Matplotlib and Midnight Commander)
Data Science And Machine Learning
File Manager
0 0%
100% 100
Technical Computing
100 100%
0% 0
FTP Client
0 0%
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 Midnight Commander

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.
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.
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.
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...

Midnight Commander Reviews

We have no reviews of Midnight Commander yet.
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Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Midnight Commander. It has been mentiond 114 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 (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
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Midnight Commander mentions (28)

  • Emacs 2024 Changes
    Dired as a cross-platform file manager. I used to use Midnight Commander but I found it buggy in the end (on MacOS). Since investing time in learning dired it's good enough. - Source: dev.to / over 1 year ago
  • OpenBSD Desktop
    Midnight Commander is a good TUI file manager. https://midnight-commander.org/. - Source: Hacker News / about 2 years ago
  • Antonmedv/walk: Terminal file manager
    Was there something before https://midnight-commander.org/ or was that the OG? - Source: Hacker News / almost 3 years ago
  • How to move a directory to ../ if there is a directory with same name?
    Just use mc (midnight commander) it not only is a terminal based file manager but it will give you the command lines used to do so GNU MIDNIGHT COMMANDER. Source: about 3 years ago
  • What's that email client doing here?
    Given that you can run shells in Emacs since those are text too, Emacs ends up becoming almost like a Lisp-powered tmux or mc. Source: about 3 years ago
View more

What are some alternatives?

When comparing Matplotlib and Midnight Commander, 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.

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

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

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

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