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GNOME Terminal VS Matplotlib

Compare GNOME Terminal VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

GNOME Terminal logo GNOME Terminal

GNOME Terminal is a terminal emulator for GNOME desktop.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • GNOME Terminal Landing page
    Landing page //
    2019-10-25
  • Matplotlib Landing page
    Landing page //
    2023-06-14

GNOME Terminal features and specs

  • User Friendly
    GNOME Terminal has a clean and intuitive interface that is easy to use, especially for new users.
  • Customizability
    Users can customize the appearance and behavior of the terminal, including themes, fonts, and profiles.
  • Tabs and Split Views
    Supports multiple tabs and split views, making it easier to manage multiple terminal sessions.
  • Integrations
    Seamlessly integrates with the GNOME desktop environment, providing a consistent look and feel.
  • Accessibility
    Offers support for assistive technologies, making it accessible to users with disabilities.
  • Scripting
    Can be extended and controlled using scripts for automation and advanced functionality.

Possible disadvantages of GNOME Terminal

  • Performance
    May not be as lightweight or fast as some other terminal emulators, especially on older hardware.
  • Dependency
    Highly dependent on the GNOME ecosystem, which may not be desirable for users of other desktop environments.
  • Limited Advanced Features
    Lacks some advanced features found in other terminal emulators, such as extensive plugins or multi-pane tiling.
  • Resource Usage
    Consumes more system resources compared to minimalist terminal emulators, affecting performance on low-end systems.
  • Complex Customization
    Some customization options might be too complex for casual users and require manual editing of configuration files.

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.

Analysis of GNOME Terminal

Overall verdict

  • GNOME Terminal is widely regarded as a solid choice for both beginners and advanced users who are working within the GNOME desktop environment. It balances simplicity with adequate functionality, making it a 'good' choice for most users.

Why this product is good

  • GNOME Terminal is a popular terminal emulator widely used within the GNOME desktop environment. It offers a straightforward and user-friendly interface along with extensive customization options. Users appreciate its support for multiple tabs, compatibility with modern technologies like VTE (Virtual Terminal Emulator) for advanced terminal capabilities, and integration with the GNOME ecosystem. The terminal is efficient for running commands, scripts, and various applications, while also providing necessary features like profile management and keyboard shortcuts.

Recommended for

  • GNOME desktop environment users
  • Users looking for a simple and reliable terminal emulator
  • People who need built-in support for multiple tabs and customizable profiles
  • Developers and system administrators who appreciate integration with GNOME settings and appearance

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.

GNOME Terminal videos

+ Add

185 GNOME Terminal Color Schemes - Gogh

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to GNOME Terminal and Matplotlib)

GNOME Terminal

Matplotlib

SSH
100 100%
SSH
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Server Management
100 100%
Server Management
0% 0
Technical Computing
0 0%
Technical Computing
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 GNOME Terminal and Matplotlib

GNOME Terminal Reviews

10 Termux Alternatives
GNOME Terminal is software with a terminal emulator that emulates xterm and provides the same features to the Linux environment and can access it from graphical desktops. This software is multiple profiles supported, and users can generate various shapes according to their needs and set specific configurations for each profile separately. This particular configuration can...
Source: www.justalternativeto.com
The 10 Best Linux Terminal Emulators
GNOME terminal offers support for multiple profiles, which comes in handy if you need to set different profiles for different tasks. Its title bar nicely styles to match the GTK theme you might be using in your Linux distro. Another great feature I find interesting in the GNOME terminal is that it makes links clickable.
Source: www.fosslinux.com
Top 14 Terminal Emulators for Linux (With Extra Features or Amazing Looks)
It basically provides you multiple GNOME terminals in one window. You can easily group and re-group terminal windows with the help of it. You may feel like using a tiling window manager but with some restrictions.
Source: itsfoss.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 doesnโ€™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 a lot more popular than GNOME Terminal. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of GNOME Terminal. 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.

GNOME Terminal mentions (2)

  • Are terminals written in the ncurses library?
    So far I have only seen information that ncurses is a package you would use to write applications for various terminals; what about the terminals themselves? Not only terminal emulators but the actual terminal of something like Ubuntu Server, which I believe to be gnome-terminal. Source: almost 4 years ago
  • A good python library to replace libtcod for terminal play?
    Iterm2, gnome terminal, xterm, Konsole, macos Terminal, powershell, command, etc.. these all provide a common API which we normally use curses to interface with. But all of them basically reach into something lower level (opengl, vulkan, directx, etc.) to render the text, which ultimately is still pixels on a screen. Source: almost 5 years ago

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 / 8 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
View more

What are some alternatives?

When comparing GNOME Terminal and Matplotlib, you can also consider the following products

MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more

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

PuTTY - Popular free terminal application. Mostly used as an SSH client.

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

ConEmu - ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.

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

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