Software Alternatives & Startups

Total Commander VS Matplotlib

Compare Total Commander VS Matplotlib and see what are their differences

Total Commander

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

Rating
0 reviews
Matplotlib

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

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Matplotlib seems to be more popular. It has been mentioned 114 times since March 2021.

social mentions
0 vs 114
File Manager popularity
100% vs 0%
alternatives listed
228 vs 238

Base details

Website, pricing, platforms and company facts side by side.

Total Commander
Matplotlib
Website ghisler.com matplotlib.org
Pricing —
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

Total Commander 5 features
Matplotlib 6 features
  • Dual-pane Interface
    Total Commander features a dual-pane interface, which allows users to easily drag and drop files between directories, enhancing productivity and file management efficiency.
  • Customizability
    The application offers extensive customization options, including customizing the toolbar, keyboard shortcuts, and file display settings, providing users with a tailored experience.
  • Built-in FTP Client
    Total Commander includes an integrated FTP client, making it convenient for users to transfer files to and from remote servers without needing additional software.
  • Plugin Support
    Total Commander supports a wide range of plugins, adding extra functionalities like additional file system interfaces, file viewers, and archivers to extend the software's capabilities.
  • Powerful File Operations
    It offers advanced file operations such as multi-rename tool, file comparison, and synchronization, which are highly useful for power users managing large sets of files.

Possible disadvantages

  • Outdated Interface
    The interface of Total Commander can appear dated compared to modern file managers, which may be less appealing to new users accustomed to more contemporary designs.
  • Learning Curve
    Due to its extensive features and customizability, new users might find Total Commander overwhelming and may require time to learn and utilize the software effectively.
  • Paid Software
    Total Commander is not free; although it offers a trial version, users need to purchase a license to access the full functionality, which may deter some users looking for free alternatives.
  • Limited OS Support
    While primarily designed for Windows, Total Commander has limited support for other operating systems. Though there are Android and Linux versions, they may not offer the same level of functionality as the Windows version.
  • No Cloud Integration
    Total Commander lacks built-in cloud storage integration, which is a feature increasingly expected by users looking to manage files across multiple cloud services directly from their file manager.
  • 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

  • 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.

Analysis

An editorial look at what each product does well and who it suits.

Total Commander
Matplotlib

No analysis of Total Commander yet.

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.

Videos

Walkthroughs and reviews on video.

Total Commander 3 videos + Add
Matplotlib 1 video + Add

ENG Total Commander Tutorial - Manual: Installation, Multiple Rename ,FTP, Comparing

More videos

  • - Total Commander - Review, Tutorial und Tipps [Part 1]
  • - Total Commander - Review, Tutorial und Tipps [Part 2]

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Total Commander
Matplotlib
100% 100%
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Total Commander and Matplotlib. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Total Commander no reviews yet
Matplotlib no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Total Commander 0 mentions
Matplotlib 114 mentions

Tracking Total Commander since Mar 2021.

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 8 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 11 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 / 12 months ago

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Alternatives to Total Commander and Matplotlib

When comparing Total Commander and Matplotlib, you can also consider the following products.