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DotLoop VS FuzzyWuzzy

Compare DotLoop VS FuzzyWuzzy and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DotLoop logo DotLoop

Peoplework, Not paperwork.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • DotLoop Landing page
    Landing page //
    2023-06-13
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

DotLoop videos

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Dotloop Overview - Learn the Basics in Less Than 20 Minutes

More videos:

  • Review - dotloop overview for buyers and sellers (clients)

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 DotLoop and FuzzyWuzzy)

DotLoop

FuzzyWuzzy

Customer Service
100 100%
Customer Service
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Customer Experience
100 100%
Customer Experience
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100

User comments

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

Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. 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.

DotLoop mentions (0)

We have not tracked any mentions of DotLoop yet. Tracking of DotLoop recommendations started around Mar 2021.

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 DotLoop and FuzzyWuzzy, you can also consider the following products

Skyslope - THE NEXT LEVEL IN Transaction Management. Our real estate broker software streamlines the transaction process, enabling smart brokers to focus on what matters most—growing their business.

Amazon Comprehend - Discover insights and relationships in text

IBM TRIRIGA - Want more efficient, engaged workplaces? With IoT and AI, IBM TRIRIGA® delivers key insights in a single, integrated platform.

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

BrokerMint - BrokerMint is a Real Estate Back Office Management solution that automates all operations to allow users to stay focused on their closing deals.

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.

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