Greasy Fork
Violentmonkey
Database Script Tool
Userscripts
Greasemonkey
Script Manager โ SManager
Userstyles.org
Tampermonkey
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Greasy Fork MatplotlibBased on our record, Matplotlib should be more popular than Greasy Fork. 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.
Have tampermonkey installed (google), then go to greasyfork (website) I have the link here https://greasyfork.org/en and search up character ai, have fun :)). Source: about 3 years ago
If the above mentioned URL rewriter doesn't work for you (I found it hard to use myself, and never could get the rules figured out), then you could try using https://github.com/janekptacijarabaci/greasemonkey and finding a redirect script here: https://greasyfork.org/en. Source: about 3 years ago
I was thinking more greasemonkey / userscripts. Source: about 3 years ago
Https://greasyfork.org/en is sort of what you're looking for. - Source: Hacker News / over 3 years ago
Then you should rather look for simple userscripts on for example https://greasyfork.org/en then use them or convert to uBO scriptlet syntax (which should be easy). Source: over 3 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.
Database Script Tool - Database Script Tool is an all-in-one functional code generator that allows you to generate several types of code, including SQL standard commands, classes, resource files, HTML 5 forms, Data managers, and more to add.
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.
