Software Alternatives, Accelerators & Startups

ReachOut VS FuzzyWuzzy

Compare ReachOut VS FuzzyWuzzy and see what are their differences

ReachOut logo ReachOut

ReachOut is a field service management suite to streamline field processes with customizable mobile-based forms and workflow.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • ReachOut Landing page
    Landing page //
    2023-09-13
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

ReachOut videos

Capmaari Public Review | S.A. Chandrasekhar | Jai | Athulya | Reachout.

FuzzyWuzzy videos

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

Add video

Category Popularity

0-100% (relative to ReachOut and FuzzyWuzzy)
Sales Force Automation
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Field Service Management
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

Share your experience with using ReachOut 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.

ReachOut mentions (0)

We have not tracked any mentions of ReachOut yet. Tracking of ReachOut 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
View more

What are some alternatives?

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

DeltaSalesApp - Field Sales Force Automation & Field Force Tracking Software

Amazon Comprehend - Discover insights and relationships in text

Smart Service - Smart Service's QuickBooks integration makes it the ultimate scheduling and dispatch software for HVAC, plumbing, pest control, and other service industries.

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

Service Cloud Field Service - Service Cloud Field Service is a cloud-based field service solution designed to initiate customer service activities from anywhere.

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.