Software Alternatives, Accelerators & Startups
Register | Login

ParallelDots ShelfWatch VS FuzzyWuzzy

Compare ParallelDots ShelfWatch VS FuzzyWuzzy and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

ParallelDots ShelfWatch logo ParallelDots ShelfWatch

ShelfWatch analyses images of retail shelf displays, and provides corrective feedback to help CPG manufacturers and retailers achieve perfect in-store execution.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • ParallelDots ShelfWatch Landing page
    Landing page //
    2023-06-04
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Category Popularity

0-100% (relative to ParallelDots ShelfWatch and FuzzyWuzzy)

ParallelDots ShelfWatch

FuzzyWuzzy

API
100 100%
API
0% 0
Spreadsheets
4 4%
Spreadsheets
96% 96
Natural Language Processing
10 10%
Natural Language Processing
90% 90
NLP And Text Analytics
9 9%
NLP And Text Analytics
91% 91

User comments

Share your experience with using ParallelDots ShelfWatch and FuzzyWuzzy. For example, how are they different and which one is better?
Log in or Post with

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.

ParallelDots ShelfWatch mentions (0)

We have not tracked any mentions of ParallelDots ShelfWatch yet. Tracking of ParallelDots ShelfWatch recommendations started around Jun 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
View more

What are some alternatives?

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

NLP Cloud - High performance AI models, ready for production, served through a REST API. Fine-tune and deploy your own models. Easily use generative AI in production.

Amazon Comprehend - Discover insights and relationships in text

Trax Retail - Computer Vision solutions and on-demand merchandising services to deliver in-store insights, drive the right actions and optimize shopper experiences.

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

Loading...