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Based on our record, Matplotlib seems to be a lot more popular than Masked Emails by 1Password. While we know about 98 links to Matplotlib, we've tracked only 9 mentions of Masked Emails by 1Password. 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 have the same feature using 1Password and Fastmail. https://1password.com/fastmail/ Bonus is that I use a separate subdomain of my custom domain for disposable email addresses which means it never fails email checks (some don't like disposable/temporary email domains). - Source: Hacker News / 11 months ago
I have fastmail configured to accept *@{my name}.{my domain} and then I have a rule for each blocked sender. So it's it opposite of the logic that you want: I'll receive they mail until I explicitly block you. This is still not implicit block like you're after, but when I looked through the settings to see how I had it configured I discovered this integration with 1password: https://1password.com/fastmail/ which,... - Source: Hacker News / about 1 year ago
Would you envision it working like 1Password's Fastmail integration? Source: about 1 year ago
Fastmail have good tools for this but 1Password together with Fastmail is unbeatable - https://1password.com/fastmail/. Source: over 1 year ago
To whoever is reading this: I am not doing IT for the Mafia. ;) To give some examples of how we do use 1Password, in terms of "Online Shopping" (just one of our shared vaults) that has 100's of credentials for everything from Amazon through Walmart and covering whatever we buy online from groceries to ammunition. Tons of more specialist or niche suppliers like Christmas Designers also make you 'Create Account' to... - Source: Hacker News / over 1 year ago
Matplotlib: for displaying our image result. - Source: dev.to / about 2 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 6 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 10 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
Margin - An email alias to stop spam once and for all
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
InboxKitten - An open-source, disposable email service 💌
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ZOLDY - The pocket security platform for Confidential Information Holders.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.