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Matplotlib VS Violentmonkey

Compare Matplotlib VS Violentmonkey and see what are their differences

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

Matplotlib logo Matplotlib

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

Violentmonkey logo Violentmonkey

Violentmonkey is a userscript manager to support running userscripts in web pages.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Violentmonkey Landing page
    Landing page //
    2023-10-16

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.

Violentmonkey features and specs

  • Free and Open Source
    Violentmonkey is freely available to use and the source code is open for anyone to inspect, modify, and contribute to. This ensures transparency and community-driven development.
  • Active Development
    The project is actively maintained and updated, which means that bugs are fixed promptly and new features are regularly added.
  • Cross-Browser Support
    Violentmonkey is compatible with multiple browsers including Chrome, Firefox, Microsoft Edge, and Opera, providing flexibility to users regardless of their browser preference.
  • User Script Manager
    It allows users to manage and run custom scripts to enhance web pages, providing extensive customization options for a tailored browsing experience.
  • Easy Backup and Sync
    Features like backup and sync allow users to easily transfer their settings and scripts across different devices, ensuring a consistent experience.

Possible disadvantages of Violentmonkey

  • Learning Curve
    For new users, especially those not familiar with scripting, there might be a learning curve involved in understanding how to write and manage scripts effectively.
  • Security Risks
    As with any tool that runs third-party scripts, there is a potential risk for malicious scripts that can compromise user security and privacy if not properly vetted.
  • Dependency on Community Scripts
    The quality and functionality of Violentmonkey heavily rely on the availability and maintenance of user-submitted scripts, which can vary in quality.
  • Browser Performance Impact
    Running multiple or poorly optimized scripts can affect browser performance by increasing loading times and resource consumption.

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 Violentmonkey

Overall verdict

  • Yes, Violentmonkey is a reliable and efficient userscript manager that caters to the needs of users who want to customize their web browsing experience.

Why this product is good

  • Violentmonkey is considered a good choice for users looking to manage userscripts on their web browsers. It provides a clean and straightforward interface, supports a wide range of script sources, and is compatible with multiple browsers including Chrome, Firefox, and Edge. Moreover, it is open-source, allowing for community contributions and transparency.

Recommended for

  • Tech-savvy users interested in enhancing their web browser functionality through userscripts.
  • Developers who want to test userscripts in a flexible environment.
  • Users looking for an open-source alternative to other popular script managers like Greasemonkey or Tampermonkey.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Violentmonkey videos

+ Add

ๆšดๅŠ›็Œด Violentmonkey chrome ็ฅžๅ™จๆ‰ฉๅฑ•ๆ’ไปถ ็œ‹VIP็”ตๅฝฑ ไธ‹่ฝฝ่ง†้ข‘ไธ€ๅบ”ไฟฑๅ…จ

Category Popularity

0-100% (relative to Matplotlib and Violentmonkey)

Matplotlib

Violentmonkey

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Browser Extensions
0 0%
Browser Extensions
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Dark Mode
0 0%
Dark Mode
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 Violentmonkey

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

Violentmonkey Reviews

We have no reviews of Violentmonkey yet.
Be the first one to post

Social recommendations and mentions

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

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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Violentmonkey mentions (46)

  • Show HN: UserScript to manually choose model for ChatGPT website
    - GPT 4o mini, so you can save your 4o calls for more complex queries https://github.com/altbdoor/userscripts/raw/master/force-gpt3.user.js. - Source: Hacker News / almost 2 years ago
  • If your Firefox suddenly started to hang or become extremely slow today, check if you have tampermonkey 5.0. Disable it for now as it seems to be the culprit.
    Since Tampermonkey seems to be misbehaving, consider using Violentmonkey. Source: over 2 years ago
  • Current plan for the flag
    Step 1Install violentmonkey (or your favorite user script manager). Source: almost 3 years ago
  • Andrej Karpathy โ€“ State of GPT ( At MSBuild 2023)
    Sounds like a good violent monkey [0] script for you do this weekend. :) [0] https://violentmonkey.github.io/. - Source: Hacker News / about 3 years ago
  • Auto expand for reports button in modqueue
    Toolbox is great, but if that is all you really need, here's this! You can copy and paste this as a new script to use in ViolentMonkey [AMO] or whatever script manager you use. Source: about 3 years ago
View more

What are some alternatives?

When comparing Matplotlib and Violentmonkey, 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.

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

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

Tampermonkey - Greasemonkey compatible script manager.

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

Greasy Fork - A site for user scripts.

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