Hoverify
CSS Scan
CSS Scan Pro
SuperDev Pro
Shuffle for Tailwind CSS
EazyCSS
Devsync
CSS Grab n' Go Editor
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Tools to make your web dev life a bit easy.
โญ Inspector
1) Inspect CSS and HTML just by hovering over the element.
2) Live edit CSS and HTML.
3) Export code to Codepen.
4) Inspect media queries and animations.
5) Edit the content of any HTML element.
6) Traverse DOM elements with arrow keys.
7) Know fonts per tag.
8) Finds font on Google Fonts.
9) Extract all the colors used on the page.
10) Toggle visibility of any element or remove an element from the page and persist changes.
11) Easily search elements by tag, class, or id.
โญ Color Eyedropper 1) Pick colors from anywhere on the page, even images and IFrames. 2) Get hex and RGB values. 3) Save colors.
โญ Assets 1) Extract images, SVGs, and videos from the page. 2) Download all the assets at once in ZIP.
โญ Responsive 1) Any click, scroll, or navigation you perform in one device will be replicated to all devices in real-time. 2) Add new custom device profiles as you like and arrange devices to fit your style. 3) Hot-Reloading Support.
โญ Debug 1) Clear cache, cookies, and local storage of specific origin or whole browser. 2) Get meta tags from the page and copy them with one click. 3) Check the whole page for spelling mistakes (Only supports English).
โญ Screenshots 1) Take a screenshot of the whole page or just a visible area. 2) Screenshot the visible area of every tab with just one click. 3) Save the screenshot in PDF, JPG, or PNG.
Hoverify MatplotlibBased on our record, Matplotlib seems to be more popular. 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.
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
CSS Scan - Instantly check or copy computed CSS from any element for only ~95$
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CSS Scan Pro - The easiest way to get and edit the CSS of any website, live
NumPy - NumPy is the fundamental package for scientific computing with Python
SuperDev Pro - 14-in-1 browser extension developers and designers love.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.