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Matplotlib VS iTerm2

Compare Matplotlib VS iTerm2 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...

iTerm2 logo iTerm2

A terminal emulator for macOS that does amazing things.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • iTerm2 Landing page
    Landing page //
    2018-10-29

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.

iTerm2 features and specs

  • Versatility
    iTerm2 supports a wide range of features such as split panes, multiple tab management, and hotkey-activated terminal windows, making it highly versatile for different workflows.
  • Customization
    Offers extensive customization options, including themes, color schemes, and key bindings, allowing users to tailor the terminal to their preferences.
  • Advanced Features
    Includes advanced functionality like instant replay, which allows users to rewind their terminal session, and integration with automation tools like AppleScript.
  • Performance
    Designed to be efficient and responsive, ensuring it performs well even with multiple sessions and tabs open simultaneously.
  • Integrations
    Seamless integration with macOS features such as native notifications, fullscreen mode, and support for external editors.
  • Community Support
    Active community and comprehensive documentation, which can be very helpful for troubleshooting and learning advanced configurations.

Possible disadvantages of iTerm2

  • Mac-Only
    iTerm2 is exclusive to macOS, which means users on other operating systems cannot utilize its features.
  • Complexity
    The sheer number of features and customization options can be overwhelming for beginners, requiring a learning curve to utilize efficiently.
  • System Resource Usage
    iTerm2 may consume more system resources compared to simpler terminal emulators, which could be a concern on lower-end hardware.
  • Update Frequency
    Occasional updates can introduce bugs or unexpected behavior, requiring users to adjust settings or find workarounds.

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 iTerm2

Overall verdict

  • iTerm2 is regarded as an excellent terminal emulator for macOS due to its robust feature set and usability, making it a top choice for power users.

Why this product is good

  • iTerm2 is often praised for its advanced features, customization options, and efficiency that enhance productivity for users who work with the command line frequently. It offers split panes, hotkey window, undo close, instant replay, and a highly configurable interface that caters to power users, making it a versatile tool for developers and system administrators.

Recommended for

  • Developers and programmers who need a highly customizable terminal.
  • System administrators who require powerful scripting and automation capabilities.
  • Users who frequently work with command-line interfaces and require multiple sessions handled efficiently.
  • Anyone seeking an enhanced, feature-rich alternative to the default macOS terminal.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

iTerm2 videos

Customizing iterm2 with ZSH and PowerLevel9k | Z shell Tutorial

Category Popularity

0-100% (relative to Matplotlib and iTerm2)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Technical Computing
100 100%
0% 0
SSH
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 iTerm2

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...

iTerm2 Reviews

  1. Useful

    I've had so many problems with terminal in my Mac.. thanks for this tool. It's like really useful

    ๐Ÿ‘ Pros:    Fast|Convenience|Fastest, safest, and cheapest
    ๐Ÿ‘Ž Cons:    None

MobaXterm for Mac: Best Alternatives to MobaXterm for Mac
You can choose a Hotkey and register it as a shortcut to open the iTerm2. When you are using other application, just press the Hotkey and it will bring iTerm (terminal) to the foreground of your screen. So the iTerm2 is the best alternative to MobaXterm for Mac which will be always available for you.
30 best PuTTY alternatives for SSH clients for 2020
The iTerm2 system is available for Macs. Specifically, the program can run on Mac OS 10.10 and higher. This interface shows different terminal sessions through a split screen method, allowing you to tile sessions side by side. To lessen confusion, the active panel shows in full resolution, while the others dimmed. You can set up keyboard shortcuts to navigate through the...

Social recommendations and mentions

iTerm2 might be a bit more popular than Matplotlib. We know about 117 links to it since March 2021 and only 114 links to Matplotlib. 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 / 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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iTerm2 mentions (117)

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What are some alternatives?

When comparing Matplotlib and iTerm2, 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.

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

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

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

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

KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.