Tampermonkey VS Matplotlib
Compare Tampermonkey VS Matplotlib and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
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Tampermonkey
Violentmonkey
Greasemonkey
Userscripts
Greasy Fork
Database Script Tool
Lichess
Script Manager โ SManager
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Tampermonkey MatplotlibTampermonkey 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.
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.
// ==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
// ==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
// ==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
// @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
// ==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
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
Numbers are useful, but sometimes itโs 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
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
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
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, Aโฆ. - Source: dev.to / 10 months ago
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.
NumPy - NumPy is the fundamental package for scientific computing with Python
Userscripts - An open-source userscript editor for Safari.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.