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ConEmu VS Matplotlib

Compare ConEmu VS Matplotlib and see what are their differences

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ConEmu logo 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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • ConEmu Landing page
    Landing page //
    2021-09-22
  • Matplotlib Landing page
    Landing page //
    2023-06-14

ConEmu features and specs

  • Customizability
    ConEmu offers a high degree of customizability, allowing users to tailor the interface, keyboard shortcuts, colors, and behavior to suit their workflow.
  • Tab Management
    The application supports multiple tabs, permitting users to manage various command-line sessions within a single window, enhancing multitasking capabilities.
  • Integrations
    ConEmu can integrate with various shells such as Command Prompt, PowerShell, Git Bash, Cygwin, and more, thus making it a versatile tool for a wide range of needs.
  • Quake-style Mode
    This feature allows users to quickly summon and hide the terminal with a specific key combination, similar to the drop-down console in Quake games.
  • Split View
    ConEmu offers split-view functionality, which allows users to see and interact with multiple terminal panes simultaneously.
  • Portable Mode
    The application can be used in portable mode, enabling users to carry their ConEmu settings and preferences across different machines without installation.

Possible disadvantages of ConEmu

  • Complex Setup
    For new users, the initial configuration can be somewhat complex and may require a steep learning curve to leverage all features effectively.
  • Windows Only
    ConEmu is exclusive to the Windows operating system, limiting its usage for individuals who work across multiple OS platforms.
  • Resource Intensive
    Compared to some lightweight terminal emulators, ConEmu can be more demanding on system resources, which may be a concern for users on lower-end hardware.
  • Occasional Stability Issues
    Some users have reported occasional crashes or instability, particularly when dealing with complex configurations or extensive usage.
  • Lack of Built-in SSH
    Unlike some terminal emulators, ConEmu does not come with built-in SSH capabilities, necessitating the use of third-party tools for SSH sessions.

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 ConEmu

Overall verdict

  • Yes, ConEmu is a good option for users seeking a powerful and customizable terminal emulator on Windows. Its feature-rich environment and active development community make it a solid choice.

Why this product is good

  • ConEmu is considered a good terminal emulator because it offers a wide range of features including extensive customization options, support for multiple tabs, and compatibility with various shells such as PowerShell, Command Prompt, and WSL. It enhances productivity by allowing users to configure hotkeys, split the terminal window, and create complex workflows, making it a versatile tool for developers and system administrators.

Recommended for

    ConEmu is recommended for developers, system administrators, and power users who need a flexible and feature-rich terminal emulator. It's particularly useful for users who frequently work with multiple command-line tools or need advanced window management capabilities.

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.

ConEmu videos

Development Tools: ConEmu

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to ConEmu and Matplotlib)
SSH
100 100%
0% 0
Data Science And Machine Learning
Server Management
100 100%
0% 0
Technical Computing
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 ConEmu and Matplotlib

ConEmu Reviews

7 Best Free Terminal Emulators For Windows 10/11 in 2022
It is free and open-source software that is built on the popular console emulator known as ConEmu. It is used to add enhancements from clink that provide bash style completion. Moreover, it also presents UNIX capabilities by extending them with PowerShell, MinnTTY, myysgit and Cygwin.
30 best PuTTY alternatives for SSH clients for 2020
Cmder is a straight-forward terminal emulator for Windows. The program runs on Windows and it is a combination of the ConEmu terminal emulation program with a Unix-like scripting language that works on Windows. The terminal emulator doesnโ€™t have any encryption, so it would only be suitable for connections on private networks. The tool also lacks a file transfer system.

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...

Social recommendations and mentions

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

ConEmu mentions (19)

  • Dos Navigator โ€“ an orthodox file manager
    The sources for the awesome Dos Navigator are published on Github. An updated fork named Necromancer's Dos Navigator [NDN] can be found here: http://ndn.muxe.com/ An alternative to DN/NDN, that is in active development, is Far Manager: https://www.farmanager.com/ All of them, especially Far, work well in ConEmu (https://conemu.github.io/) or cmder (https://cmder.app/) Maybe interested people or nostalgic ones can... - Source: Hacker News / almost 2 years ago
  • Any user with Win 7 user + Vim at terminal+airline_with_Powerline_symbols?
    On Windows 7 your best bet is to install a modern terminal emulator like ConEmu: https://conemu.github.io/. Source: about 3 years ago
  • The amount of times I have accidentally done this...
    On my work system I have local admin but Windows Store is blocked by policy. One of my coworkers over on the DBA team had me install ConEmu which has some nice features similar to to Windows Terminal. Also, Posh-Git is a nice addition to have on top. Source: over 3 years ago
  • Name the tools you can't live without!
    Conemu if your a fan of that quake style terminal and tabbed terminals. Source: over 3 years ago
  • Steps of entering the IT world? Learn Python Or Operating systems first?
    If you do, try out this thing; https://conemu.github.io/. Source: over 3 years ago
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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
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What are some alternatives?

When comparing ConEmu 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

GNOME Terminal - GNOME Terminal is a terminal emulator for GNOME desktop.

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