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Based on our record, Joplin seems to be a lot more popular than FuzzyWuzzy. While we know about 350 links to Joplin, 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.
I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android. https://joplinapp.org/. - Source: Hacker News / 4 months ago
I use https://joplinapp.org because it allows for pasting images and files. Has easy sync and also mobile and desktop apps. Free and open source. - Source: Hacker News / 4 months ago
Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/ It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home... - Source: Hacker News / 5 months ago
I'm not certain, but I believe that Joplin will serve your needs. Source: 6 months ago
Joplin (free, but sponsored) in combination with a Storagebox at Hetzner. Joplin allows us to share notes, shopping lists, to do lists, etc via Webdav between our various devices (mobile phones, laptops, desktops). https://joplinapp.org and https://www.hetzner.com/de/storage/storage-box. - Source: Hacker News / 8 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: 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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