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TRAX VS FuzzyWuzzy

Compare TRAX VS FuzzyWuzzy and see what are their differences

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TRAX logo TRAX

Trax is a free web-based tool for planning your model railroad

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • TRAX Landing page
    Landing page //
    2021-10-24
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

TRAX videos

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2020 Chevy Trax - FULL Review and Changes for 2020?

More videos:

  • Review - 2017 Chevrolet Trax - Review and Road Test
  • Review - 2021 Chevrolet Trax LT: Start up & 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 TRAX and FuzzyWuzzy)

TRAX

FuzzyWuzzy

CRM
100 100%
CRM
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Architecture
100 100%
Architecture
0% 0
Natural Language Processing
0 0%
Natural Language Processing
100% 100

User comments

Share your experience with using TRAX 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.

TRAX mentions (0)

We have not tracked any mentions of TRAX yet. Tracking of TRAX 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 TRAX and FuzzyWuzzy, you can also consider the following products

SCARM - Simple Computer Aided Railway Modeller

Amazon Comprehend - Discover insights and relationships in text

RailModeller - RailModeller is a new application for creating model railroad and slot car layouts.

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

TrainCad - Freeware Microsoft Windows program for designing model railroad layouts using standard tracks.

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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