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Based on our record, Signal seems to be a lot more popular than FuzzyWuzzy. While we know about 180 links to Signal, we've tracked only 11 mentions of FuzzyWuzzy. 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.
Just so you know: https://grapheneos.org/ and https://signal.org/ do exist! - Source: Hacker News / 2 months ago
Signal works the same but without the user tracking from Meta/Facebook. Many people use it as well but I'm surprised that a majority sticks to WhatsApp. Source: 5 months ago
A question I often get is "Well are my text messages safe" The short answer is... Maybe? Depends on what type of phone you use, your carrier, and a bunch of other factors. One way to avoid this is to use an end-to-end encrypted text service like Signal if that is a concern of yours. VERY IMPORTANT NOTES: Telegram and WhatsApp are not secure. The way to think of this security is that if is retained by a server... Source: 5 months ago
The linked page is on signalusers.org, but Signal's regular home site is https://signal.org/. I'm looking all over signal.org for some link from there to signalusers.org, as that would make me more relaxed about the authenticity of the latter -- i.e., that it really is run by the same people who run signal.org. Yes, maybe I'm being paranoid. But we're talking about an app whose whole purpose is secure... - Source: Hacker News / 6 months ago
WhatsApp and Signal: Of course I’m going to conclude with the point to point encrypted communication apps Signal and WhatsApp. Most of our clients around the world communicate in these apps more than they make phone calls or send emails. Set up an account in each app and start leveraging the text, photo, phone and video features to have easy and fast conversations with your global contacts. See https://signal.org... Source: 11 months ago
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: over 2 years ago
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