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FuzzyWuzzy might be a bit more popular than Quest AI. We know about 11 links to it since March 2021 and only 9 links to Quest AI. 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.
If you build with Next.JS, check out https://quest.ai. It converts figma designs into Next.JS automatically. Disclosure: I'm one of the makers of quest.ai. Source: 12 months ago
Can I make a recommendation to add https://quest.ai to the list. Generates React/NestJS components from your designs. Source: about 1 year ago
Since you are a full stack developer, check out https://quest.ai. Generates React code components from Figma files. For websites, you can export as NextJS and host in vercel or anywhere. You have full control over the code, which developers typically want. Source: about 1 year ago
Take a look at how customers are using Quest:. Source: over 1 year ago
If you are building in React, try https://quest.ai. Gives you pixel-match code for your Figma design. Perfect for many backend devs. Source: over 1 year 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: about 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: almost 3 years ago
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