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Double Commander VS Matplotlib

Compare Double Commander VS Matplotlib and see what are their differences

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Double Commander logo Double Commander

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

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Double Commander Landing page
    Landing page //
    2023-09-26
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Double Commander features and specs

  • Cross-Platform
    Double Commander is available for multiple operating systems including Windows, Linux, and macOS. This makes it a versatile choice for users operating across different platforms.
  • Free and Open Source
    Double Commander is free to download and its source code is open to the public. Users can modify and redistribute it under the GPL license, making it a cost-effective and customizable option.
  • Two-Panel Interface
    The application features a two-panel interface, which allows users to view and manage files in two distinct directories simultaneously. This enhances productivity and streamlines file operations.
  • Plugin Support
    Double Commander supports Total Commander WCX, WDX, and WLX plugins, providing additional functionalities such as extended file operations and viewing capabilities.
  • FTP/SFTP Support
    It includes built-in support for FTP and SFTP protocols, allowing users to easily manage files on remote servers.
  • Customizable User Interface
    Users can customize the layout, colors, and various other aspects of the interface to suit their individual preferences.
  • Advanced Search Function
    Double Commander offers an advanced search feature with various filters, allowing users to find files quickly and efficiently.

Possible disadvantages of Double Commander

  • Steeper Learning Curve
    The two-panel interface and multitude of features may be overwhelming for new users, leading to a steeper learning curve.
  • Occasional Bugs and Instability
    As an open-source project, Double Commander may occasionally suffer from bugs and stability issues, though these are often addressed by the community.
  • Less Polished UI
    The user interface, while customizable, may not be as polished or modern-looking as some commercial file managers.
  • Limited Integration
    Compared to some commercial options, Double Commander may offer limited integration with other applications and services out of the box.

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.

Double Commander videos

Check Out Double Commander File Manager In Ubuntu 16.04

More videos:

  • Review - Context menu suggestion for Double Commander

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

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

User comments

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Reviews

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

Double Commander Reviews

3 Popular Total Commander Analogs for Linux
Double Commander is one of the most popular file managers for Linux. It is open source and available for other operating systems. It is capable of viewing files in binary, hexadecimal and text formats. The developers have provided a text editor with syntax highlighting. The application works with archives and supports batch renaming.
Source: medium.com
The best file managers for your computer
This is a completely free code file manager, endowed with numerous functions that make it one of the preferred by users from all over the world. Double commander is unashamedly inspired by Total Commander.
Source: movilforum.com
8 Best Total Commander Alternatives & Competitors in 2022 (Free & Paid)
Double commander is a free cross platform open source file manager with two panels side by side. It is inspired by total 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 doesn’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...

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Double Commander. 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.

Double Commander mentions (22)

  • File Pilot: A file explorer built for speed with a modern, robust interface
    3. The rich infrastructure of viewers, add-ons that has been added by the community over decades and is supported by the open source alternative implementation https://doublecmd.sourceforge.io/ Any roadmap that has some of this on the list? Thanks for the cool work! - Source: Hacker News / 3 months ago
  • OpenBSD Desktop
    Take a look at double commander: https://doublecmd.sourceforge.io/ However, if you use a desktop manager such as Xfce, the file manager (Thunar in this case) is built in and can be configured with traditional double window arrangement. - Source: Hacker News / about 1 year ago
  • The case of the jump into the middle of an instruction from nowhere (2023)
    Well yeah, I mean no one forces you to use Explorer for file management under Windows. I'm an old-time Norton Commander user, and when Windows came around I switched to Total Commander. There are open-source alternatives too, even cross-platform ones, like this one: https://doublecmd.sourceforge.io/. That being said, no one forces you to use Windows either - except maybe your employer or the software... - Source: Hacker News / over 1 year ago
  • Creating a 'Proper Nouns' List
    Double Commander. Search Replace Multiple files. Source: over 1 year ago
  • Total Commander
    I've been looking for a Linux alternative ever since I mostly switched away from Windows a few years ago, and so far this one is the best FOSS alternative I found: https://doublecmd.sourceforge.io/ - it's even written in Pascal, same as TC. - Source: Hacker News / over 1 year ago
View more

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 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 / 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 Double Commander and Matplotlib, you can also consider the following products

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

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

Midnight Commander - GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...

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

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.

Plotly - Low-Code Data Apps