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FuzzyWuzzy VS Uptime Kuma

Compare FuzzyWuzzy VS Uptime Kuma and see what are their differences

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FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Uptime Kuma logo Uptime Kuma

A fancy self-hosted monitoring tool.
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20
  • Uptime Kuma Landing page
    Landing page //
    2023-07-11

FuzzyWuzzy features and specs

  • Simple API
    FuzzyWuzzy offers a straightforward and easy-to-understand API, making it simple to integrate fuzzy matching into projects quickly.
  • High Accuracy
    The library provides accurate text matching using Levenshtein Distance, making it effective for identifying similar strings.
  • Versatile Use Cases
    FuzzyWuzzy can be used for a wide range of applications, including data cleaning, record linkage, and search optimization.
  • Well-Maintained
    The library is well-maintained with regular updates, detailed documentation, and an active community.
  • Python-Compatible
    Written in Python, FuzzyWuzzy seamlessly integrates with other Python-based projects and is compatible with popular data science libraries.

Possible disadvantages of FuzzyWuzzy

  • Performance
    FuzzyWuzzy can be slow with large datasets since it relies on computing Levenshtein distance, which has a time complexity of O(n*m).
  • External Dependency
    It requires the `python-Levenshtein` package for optimal performance, adding an extra dependency that must be managed.
  • Memory Usage
    The library can be memory-intensive when working with large datasets, potentially causing issues in memory-constrained environments.
  • Not Language-Agnostic
    FuzzyWuzzy's effectiveness decreases significantly with non-Latin scripts or languages where Levenshtein distance is less appropriate.
  • Basic Functionality
    While effective for simple use cases, it lacks advanced features found in more complex text-matching libraries or machine learning models.

Uptime Kuma features and specs

  • Open Source
    Being open-source means the source code is freely available for anyone to inspect, modify, and enhance, promoting transparency and community-driven development.
  • Self-Hosted
    Allows you to host the application on your own server, providing complete control over your data and infrastructure.
  • User-Friendly Interface
    Offers a clean and intuitive UI, making it easy for users to set up and manage uptime monitoring.
  • Customizable Notifications
    Supports multiple notification channels (e.g., email, Slack, Telegram) and allows customizable alert settings.
  • Multiple Monitoring Types
    Supports various types of monitoring including HTTP(s), TCP, and ICMP (ping), allowing for versatile use cases.
  • Resource Efficient
    Designed to be lightweight, ensuring it does not consume significant system resources.
  • Multi-Language Support
    Provides support for multiple languages, making it accessible to a broader audience worldwide.
  • Community Support
    Being part of a vibrant open-source community means you can get help and contribute to the project, which often results in rapid bug fixes and feature enhancements.

Possible disadvantages of Uptime Kuma

  • Self-Maintenance
    Requires the user to handle all aspects of server maintenance, including updates, backups, and security patches.
  • Limited Features Compared to Paid Solutions
    May lack some advanced features and integrations offered by commercial uptime monitoring services.
  • Initial Setup Complexity
    Can be complex to set up, especially for users who are not familiar with self-hosted solutions or lack technical expertise.
  • No Official Support
    Lacks official customer support, meaning users primarily rely on community help and forums for troubleshooting.
  • Scalability Issues
    May face scalability challenges when monitoring a large number of endpoints, requiring additional configuration and resources.
  • Dependency Management
    Requires careful management of dependencies and updates to ensure stability and compatibility, which may be time-consuming.

Analysis of FuzzyWuzzy

Overall verdict

  • Yes, FuzzyWuzzy is considered a good tool for tasks involving fuzzy string matching due to its ease of use, effective matching algorithms, and wide adoption in the community.

Why this product is good

  • FuzzyWuzzy is a popular library for string matching in Python that uses Levenshtein Distance to calculate the differences between sequences. It's particularly useful for situations where exact matches are unlikely, such as matching user inputs or correcting typos.

Recommended for

    Projects that require approximate string matching, such as natural language processing applications, data cleaning tasks, and developing user input systems where flexibility in matching is beneficial.

Analysis of Uptime Kuma

Overall verdict

  • Uptime Kuma is considered a good option for those who need a reliable, customizable monitoring solution that they can self-host. It is especially valued by users who appreciate its open-source nature, ease of setup, and the ability to adapt to diverse monitoring needs without incurring costs.

Why this product is good

  • Uptime Kuma is a self-hosted monitoring tool that is praised for its user-friendly interface, robust functionality, and flexibility. It allows users to monitor the uptime status of their websites, services, and other resources in a straightforward manner. The tool supports notifications through several channels, custom dashboards, and has an active community that continuously contributes to its improvement. It's open-source, which means it's transparent and subject to input from developers worldwide.

Recommended for

    Uptime Kuma is recommended for small to medium-sized businesses, developers, system administrators, and hobbyists who need an easy-to-use, self-managed monitoring tool. It's ideal for those who require a no-cost solution and have some level of technical proficiency to set up and maintain their own server environment.

FuzzyWuzzy videos

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Uptime Kuma videos

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Meet Uptime Kuma, a Fancy Open Source Uptime Monitor for all your HomeLab Monitoring Needs

More videos:

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  • Review - Monitor Status with Uptime Kuma - Let's install Uptime Kuma with Docker
  • Review - Uptime Kuma Open Source Uptime Monitor for HomeLab Server monitoring

Category Popularity

0-100% (relative to FuzzyWuzzy and Uptime Kuma)

FuzzyWuzzy

Uptime Kuma

Spreadsheets
100 100%
Spreadsheets
0% 0
Website Monitoring
0 0%
Website Monitoring
100% 100
NLP And Text Analytics
100 100%
NLP And Text Analytics
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FuzzyWuzzy and Uptime Kuma

FuzzyWuzzy Reviews

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Uptime Kuma Reviews

Self Hosting Like Its 2025
Dockge is relatively new and created by the developer behind Uptime Kuma, which is a fantastic tool. Although it hasn’t yet reached the maturity of Portainer, Dockge truly excels in its simplicity. It’s also regularly updated, and the developer is prompt in addressing issues on GitHub.
Source: kiranet.org

Social recommendations and mentions

Based on our record, Uptime Kuma should be more popular than FuzzyWuzzy. It has been mentiond 102 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.

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 2 years 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 2 years ago
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 3 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 3 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 4 years ago
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Uptime Kuma mentions (102)

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What are some alternatives?

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

Amazon Comprehend - Discover insights and relationships in text

UptimeRobot - Free Website Uptime Monitoring

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

Pingdom - With website monitoring from Pingdom you will be the first to know when your website is down. No installation required. 30-day free trial.

Google Cloud Natural Language API - Natural language API using Google machine learning

Uptime.com - Everything you require for availability monitoring. Simple & intuitive industry leading Enterprise-grade features delivered at a fair price, that are continuously improving.

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