Raindrop.io
Pinboard
Diigo
Tagpacker
Instapaper
start.me
Bookmark OS
My Mind
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Raindrop.io
MatplotlibBased on our record, Raindrop.io should be more popular than Matplotlib. It has been mentiond 190 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.
I use Raindrop for this purpose: https://raindrop.io/ It doesn't scrape the article like Instapaper or Pocket, which I actually prefer since it keeps things simple and I can choose how I want to view the article. The only downside I've found so far is that URLs must be unique to each feed, so you can have multiple feeds but you can't put the same URL into multiple feeds. - Source: Hacker News / 12 months ago
I moved to https://raindrop.io/. Imported all the Pocket stuff with no issues, free plan is enough for me. - Source: Hacker News / 12 months ago
I personally use Raindrop.io [0]. I have used it for more than 3 years and it does it's job very well. [0] http://raindrop.io/. - Source: Hacker News / about 1 year ago
I have been using https://raindrop.io/ for this and find it quite useful. Never end up reading everything I save but it keeps my browser less chaotic and adding bookmarks from the browser extension and on iOS is quite seemless. - Source: Hacker News / over 1 year ago
You might be thinking of https://raindrop.io which is developed by a Kazakh developer? - Source: Hacker News / over 1 year 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
Pinboard - Pinboard is a personal archive for things you find online and don't want to forget.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Diigo - Diigo is a powerful research tool and a knowledge-sharing community
NumPy - NumPy is the fundamental package for scientific computing with Python
Tagpacker - A free tool to quickly collect, organize, and share your favorite links.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.