
Hammerspoon
Puloverโs Macro Creator
AutoKey
AutoHotkey
AutoIt
Apple Automator
Clavier+
Microsoft Power Automate
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Hammerspoon
MatplotlibHammerspoon is recommended for tech-savvy users, developers, and anyone who is familiar with scripting and is looking to automate their macOS environment. It is particularly useful for individuals who enjoy tinkering with their setup and want to have fine-grained control over their system's behavior.
Based on our record, Matplotlib seems to be a lot more popular than Hammerspoon. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Hammerspoon. 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.
Then, I can only suggest http://hammerspoon.org/ and then you can start implementing window movement using it https://www.hammerspoon.org/go/#winmoveintro. Source: about 3 years ago
MacOS doesn't do this natively, but you have options: - If you just want to move windows around with some degree of keyboard customization, go for Rectangle. - If you want more control, such as sizing a bunch of windows at the same time, use Slate. - If you can code and want really high degrees of customization, you won't go wrong with Hammerspoon. Source: almost 4 years ago
Both of those can be replaced by the open-source Hammerspoon (actually a significant number of the things in this thread can, including BTT). Source: over 4 years ago
Depending on what you want from KM, Hammerspoon may be a good alternative. You can also look up on AlternativeTo for other options. Source: over 4 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
Puloverโs Macro Creator - Puloverโs Macro Creator is a Free Automation Tool and Script Generator.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AutoKey - A Python 3 port of AutoKey, the desktop automation utility for Linux and X11.
NumPy - NumPy is the fundamental package for scientific computing with Python
AutoHotkey - The ultimate automation scripting language for Windows.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.