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Based on our record, NumPy seems to be a lot more popular than Ivory for Mastodon. While we know about 107 links to NumPy, we've tracked only 6 mentions of Ivory for Mastodon. 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.
> indie-dev-that-does-not-want-to-monetize-friendly Noting is "I need to spend a significunt chunk of my time for no renumeration"-friendly. And yet there are numerous free, or pay-less-than-a-cup-of-coffee clients for many things and services, whether those are open or closed, free or paid (Ivory for Mastodon https://tapbots.com/ivory/ and Wikipedia's app come to mind). Thanks for the tip for Siskin and Monal!... - Source: Hacker News / 5 months ago
You might be interested to know the Tweetbot people made an app for Mastodon: https://tapbots.com/ivory/ https://tapbots.social/@ivory. - Source: Hacker News / 6 months ago
For example, the twitter "equivalent" on the fediverse -- mastodon -- recently got the developer of what was widely considered the best twitter client pivoting their work after Twitter's API changes that spez is emulating (see: Ivory). Source: 11 months ago
For iOS, there's Ivory but it's unfortunately not free. Ivory is the one I'm using and it's pretty good. - Source: dev.to / 11 months ago
I've been very happy with Ivory: https://tapbots.com/ivory/ Every few months I kick a couple bucks to my homeserver (which is currently running a pretty large surplus or I'd do more) and that's the end of it. - Source: Hacker News / 11 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Whalebird - Whalebird is a Mastodon client for desktop application.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Megalodon - A fork of official Mastodon Android app which include new additional features.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Moshidon - Better modification of the official Mastodon for Android app
OpenCV - OpenCV is the world's biggest computer vision library