Software Alternatives, Accelerators & Startups

Marvel VS FuzzyWuzzy

Compare Marvel VS FuzzyWuzzy and see what are their differences

Marvel logo Marvel

Turn sketches, mockups and designs into web, iPhone, iOS, Android and Apple Watch app prototypes.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • Marvel Landing page
    Landing page //
    2023-10-17
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Marvel videos

The Marvel Cinematic Universe - All Movies Reviewed and Ranked (Pt. 1)

More videos:

  • Review - The Marvel Cinematic Universe - All Movies Reviewed and Ranked (Pt. 2)
  • Review - Captain Marvel - Movie Review

FuzzyWuzzy videos

No FuzzyWuzzy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Marvel and FuzzyWuzzy)
Design Tools
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Prototyping
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

Share your experience with using Marvel and FuzzyWuzzy. For example, how are they different and which one is better?
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Social recommendations and mentions

Marvel might be a bit more popular than FuzzyWuzzy. We know about 12 links to it since March 2021 and only 11 links to 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.

Marvel mentions (12)

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FuzzyWuzzy mentions (11)

  • Need help solving a subtitles problem. The logic seems complex
    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
  • Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
    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
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
  • I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
    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
  • How would you approach this
    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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What are some alternatives?

When comparing Marvel and FuzzyWuzzy, you can also consider the following products

Invision - Prototyping and collaboration for design teams

Amazon Comprehend - Discover insights and relationships in text

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Adobe XD - Adobe XD is an all-in-one UX/UI solution for designing websites, mobile apps and more. 

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.