Software Alternatives & Reviews

Apache Karaf VS FuzzyWuzzy

Compare Apache Karaf VS FuzzyWuzzy and see what are their differences

Apache Karaf logo Apache Karaf

Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • Apache Karaf Landing page
    Landing page //
    2021-07-29
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Apache Karaf videos

EIK - How to use Apache Karaf inside of Eclipse

More videos:

  • Review - OpenDaylight's Apache Karaf Report- Jamie Goodyear

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 Apache Karaf and FuzzyWuzzy)
Cloud Computing
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, FuzzyWuzzy seems to be a lot more popular than Apache Karaf. While we know about 11 links to FuzzyWuzzy, we've tracked only 1 mention of Apache Karaf. 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.

Apache Karaf mentions (1)

  • Need advice: Java Software Architecture for SaaS startup doing CRUD and REST APIs?
    Apache Karaf with OSGi works pretty nice using annotation based dependency injection with the declarative services, removing the need to mess with those hopefully archaic XML blueprints. Too bad it's not as trendy as spring and the developers so many of the tutorials can be a bit dated and hard to find. Karaf also supports many other frameworks and programming models as well and there's even Red Hat supported... Source: about 3 years ago

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: almost 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 Apache Karaf and FuzzyWuzzy, you can also consider the following products

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

Amazon Comprehend - Discover insights and relationships in text

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

Apache ServiceMix - Apache ServiceMix is an open source ESB that combines the functionality of a Service Oriented Architecture and the modularity.

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.