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Tampermonkey VS NumPy

Compare Tampermonkey VS NumPy and see what are their differences

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Tampermonkey logo Tampermonkey

Greasemonkey compatible script manager.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Tampermonkey Landing page
    Landing page //
    2023-01-13
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Tampermonkey videos

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NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Tampermonkey and NumPy)
Browser Extensions
100 100%
0% 0
Data Science And Machine Learning
Dark Mode
100 100%
0% 0
Data Science Tools
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 Tampermonkey and NumPy

Tampermonkey Reviews

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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Tampermonkey might be a bit more popular than NumPy. We know about 135 links to it since March 2021 and only 122 links to NumPy. 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.

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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NumPy mentions (122)

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What are some alternatives?

When comparing Tampermonkey and NumPy, you can also consider the following products

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

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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Userscripts - An open-source userscript editor for Safari.

OpenCV - OpenCV is the world's biggest computer vision library