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Matplotlib VS Tampermonkey

Compare Matplotlib VS Tampermonkey 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...

Tampermonkey logo Tampermonkey

Greasemonkey compatible script manager.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Tampermonkey Landing page
    Landing page //
    2023-01-13

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.

Tampermonkey features and specs

  • User-Friendly Interface
    Tampermonkey offers an intuitive user interface that makes managing and editing user scripts straightforward.
  • Cross-Browser Support
    Tampermonkey supports all major browsers including Chrome, Firefox, Safari, Edge, and Opera, ensuring compatibility for most users.
  • Sync Capabilities
    The extension provides synchronization options via cloud storage services, enabling users to back up and restore their scripts.
  • Wide Range of Scripts
    Users have access to a vast repository of pre-written scripts that extend functionality on a variety of websites.
  • Automatic Updates
    Tampermonkey can automatically update installed scripts, keeping them up-to-date with the latest features and fixes.
  • Customizability
    Allows users to create and customize their own scripts, providing a high degree of personalization.

Possible disadvantages of Tampermonkey

  • Security Risks
    Scripts can potentially be harmful if they are not from a trusted source, exposing users to security vulnerabilities.
  • Resource Consumption
    Running multiple scripts simultaneously can consume significant browser resources, leading to performance issues.
  • Complex for Beginners
    While the interface is user-friendly, the concept of writing and debugging scripts can be daunting for users without coding experience.
  • Browser Compatibility Issues
    Some scripts may not work uniformly across all supported browsers, leading to inconsistent experiences.
  • Privacy Concerns
    Scripts have the ability to access and manipulate website content, which could lead to privacy issues if not managed properly.

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 Tampermonkey

Overall verdict

  • Yes, Tampermonkey is considered good by many users and developers due to its extensive feature set, ease of use, and stability. It has a strong community support that consistently updates and creates a variety of scripts to enhance user experience across different websites.

Why this product is good

  • Tampermonkey is a popular browser extension that allows users to install and manage user scripts, which can enhance web pages by adding functionalities or automating behaviors. It supports most major browsers and offers a wide range of features including easy script management, cloud synchronization, and an intuitive user interface. This flexibility and power make it a favorite among developers and power users who need custom solutions for specific online tasks.

Recommended for

    Tampermonkey is recommended for developers, tech enthusiasts, and users who wish to customize their web browsing experience. It's especially useful for individuals who frequently use specific websites and want to automate repetitive tasks or add new functionalities that are not natively supported by those sites.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Tampermonkey videos

5ๆญฅ่ฎฉไฝ ็Žฉ่ฝฌchromeๆต่งˆๅ™จ็ฅž็บงๆ’ไปถtampermonkey-ๆฒน็Œด

Category Popularity

0-100% (relative to Matplotlib and Tampermonkey)
Data Science And Machine Learning
Browser Extensions
0 0%
100% 100
Technical Computing
100 100%
0% 0
Dark Mode
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 Tampermonkey

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...

Tampermonkey Reviews

We have no reviews of Tampermonkey yet.
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Social recommendations and mentions

Tampermonkey might be a bit more popular than Matplotlib. We know about 135 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 / 7 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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Tampermonkey mentions (135)

  • Fixing ChatGPT "Lost First Key" Bug in Firefox
    // ==UserScript== // @name ChatGPT Firefox Input Focus Fix // @namespace http://tampermonkey.net/ // @version 1.0 // @description Fixes lost first keystroke in ChatGPT input on Firefox by focusing and clicking the textarea // @match https://chat.openai.com/* // @match https://chatgpt.com/* // @grant none // ==/UserScript== (function () { const simulateClick = (el) => { ... - Source: dev.to / about 1 year ago
  • How to Fix Auto-Expanding Menu Issues in Tampermonkey Script
    // ==UserScript== // @name Hide Expanding Menu Bar // @namespace http://tampermonkey.net/ // @version 0.1 // @require https://code.jquery.com/jquery-3.6.0.min.js // @description Hides Zillow auto-expanding menu // @author mikmak // @match https://www.zillow.com/* // @grant GM_addStyle // ==/UserScript== Const $ = window.$; Function hideExpandingMenu() { ... - Source: dev.to / about 1 year ago
  • How to Force GitHub Actions to Light Theme Using Tampermonkey
    // ==UserScript== // @name Remove data-dark-theme attributes // @namespace http://tampermonkey.net/ // @version 2024-06-23 // @description Remove data-dark-theme attributes from GitHub Actions console // @author masayoshi haruta // @match https://github.com/*/*/actions/runs/* // @icon https://www.google.com/s2/favicons?sz=64&domain=github.com // @grant none //... - Source: dev.to / about 2 years ago
  • How do I remove the yellow highlighting every time I search for a word?
    // @name 0 Highlight remover // @namespace http://tampermonkey.net/ // @version 0.1 // @description try to take over the world! // @author You // @match https://outlook.office.com/mail/id/* // @icon https://www.google.com/s2/favicons?sz=64&domain=office.com // @grant none // ==/UserScript==. Source: over 2 years ago
  • jQuery Library Conflict (TamperMonkey)
    // ==UserScript== // u/name {snipped} // u/namespace http://tampermonkey.net/ // u/version 0.1 // u/description {snipped} // u/author You // u/match {snipped} // u/require http://code.jquery.com/jquery-3.7.1.min.js // u/icon https://www.google.com/s2/favicons?sz=64&domain=pokefarm.com // u/grant none // ==/UserScript== /* global jQuery... Source: over 2 years ago
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What are some alternatives?

When comparing Matplotlib and Tampermonkey, 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.

Violentmonkey - Violentmonkey is a userscript manager to support running userscripts in web pages.

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

Greasemonkey - Customize the way a web page displays or behaves, by using small bits of JavaScript.

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

Userscripts - An open-source userscript editor for Safari.