Software Alternatives, Accelerators & Startups

FuzzyWuzzy VS Datawiz.io

Compare FuzzyWuzzy VS Datawiz.io and see what are their differences

FuzzyWuzzy logo FuzzyWuzzy

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

Datawiz.io logo Datawiz.io

Get data analytics, generate insights with Datawiz solutions, and automate your retail business processes. Try the demo version for free!
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20
  • Datawiz.io Start page (important indicators)
    Start page (important indicators) //
    2024-09-15
  • Datawiz.io Ready-made reports (30 pieces)
    Ready-made reports (30 pieces) //
    2024-09-15
  • Datawiz.io Report Brand sales
    Report Brand sales //
    2024-09-15
  • Datawiz.io Dashboard Category turnover
    Dashboard Category turnover //
    2024-09-15
  • Datawiz.io Dashboard Category sales
    Dashboard Category sales //
    2024-09-15

The Datawiz BI analytics service helps retailers quickly find answers to essential questions using pre-configured reports, create informative dashboards, and easily share them with colleagues. The service allows users to customize visualizations based on data, simplifying the process of analyzing key metrics in real-time and tracking changes that could impact chain performance. Datawiz offers 35 pre-configured reports that automate core retail processes, utilizing artificial intelligence for fast insight detection. You can add custom metrics, create tailored formulas for analytics, and visualize results through dashboards. The system allows monitoring deviations and managing users. The Store Manager mobile app provides access to analytics on the go. Additionally, you can earn up to 2.5% extra revenue through data monetization.

DATAWIZ BI โ€“ one of 4 critical solutions and a part of the analytical platform Datawiz BES (Business Effectiveness Solution)

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.

Datawiz.io features and specs

  • Analysis in a few clicks
    You will find 35 pre-configured reports that cover most chain processes.
  • ML-based reports
    Artificial intelligence algorithms help to identify insights faster.
  • Any Data
    Add the metrics that only your business processes need.
  • Custom metrics builder
    Create your formulas for calculating metrics to help you customize your analytics.
  • Create dashboards
    Create, share, and work with visualizations with colleagues.
  • Control deviations of indicators
    The Rules functionality allows you to flexibly configure and receive notifications about deviations from the planned values.
  • Analytics in a mobile phone
    The Store Manager app allows chain top management, store managers, and supervisors to track important business indicators.
  • Convenient user management
    Add an unlimited number of users with access to selected information only. Set up data display restrictions for colleagues according to their position.
  • Data monetization
    Earn up to 2.5% of additional revenue by selling analytical data to suppliers.

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.

FuzzyWuzzy videos

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Datawiz.io videos

Datawiz BES

Category Popularity

0-100% (relative to FuzzyWuzzy and Datawiz.io)
Spreadsheets
100 100%
0% 0
Data Dashboard
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Data Visualization
0 0%
100% 100

Questions and Answers

As answered by people managing FuzzyWuzzy and Datawiz.io.

Why should a person choose your product over its competitors?

Datawiz.io's answer:

Our BI analytics is designed and adapted to the needs of retailers. The reports of the solution present a variety of metrics and visualizations that allow you to assess the situation from different angles. Datawiz BI will enable you to work flexibly with the indicators on the service, change, add, and track metrics that are important for stores.

What makes your product unique?

Datawiz.io's answer:

Our BI reports and functionality are designed to meet the specific needs of retailers and do not require additional customization by your specialists. We strive to continuously improve Datawiz BI, taking into account changes and innovations in the industry to provide your business with a competitive advantage.

How would you describe your primary audience?

Datawiz.io's answer:

Top managers, Store managers, Marketers, Category managers, Merchandisers, Suppliers, Analysts.

By providing unlimited users, we help you focus on achieving your strategic goals without worrying about restrictions and additional costs. We don't charge extra to increase the number of users, giving you the flexibility and cost savings you need as your chain grows.

What's the story behind your product?

Datawiz.io's answer:

Since 2016, we have supported retail chains in automating business processes and getting insights from the data to make critical decisions.

We are united by trust in technology effectiveness, love for data, machine learning, and code, and the desire to develop Ukrainian IT solutions. Our primary skill is the ability to make the problematic world of data as simple as possible with intelligent commercial conditions for our partners.

We trust and support the retailers with strategic thinking. We are focused on improvement and growth with a modern approach to business connected with advanced analytics and digital automation

Which are the primary technologies used for building your product?

Datawiz.io's answer:

Our solutions are based on artificial intelligence technologies and forecasting algorithms. All service modules, reporting and calculations are created and targeted on retail processes.

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 Datawiz.io

FuzzyWuzzy Reviews

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Datawiz.io Reviews

  1. Sofie Tilman
    Insights with BI

    The BI solution changed the way I analyze my retail business. Its comprehensive assortment optimization feature, which utilizes analytical methods such as ABC, XYZ analysis, and BCG matrix, has allowed me to reduce lost sales and write-offs significantly. By optimizing my assortment, I can improve customer satisfaction and drive revenue growth. Furthermore, the sales dynamics analysis feature has provided me with a clear view of how my sales plan is executed across the chain.

    ๐Ÿ Competitors: SAP
    ๐Ÿ‘ Pros:    Analytics reporting|Data analysis|Sales & marketing automation|Nice dashboard|Fast support|Quick and easy
  2. Lilya
    ยท merchandiser at Chain store ยท
    Great tool for sales analysis

    Now I can't imagine how to manage our retail chain store without this BI tool! It is easy to generate reports and dashboards on key sales metrics. It has made tracking stocks and identifying lost sales so much easier. The marketing campaign analysis and loyalty program reporting have also been incredibly helpful in increasing customer engagement and retention.

    ๐Ÿ Competitors: Qlik
    ๐Ÿ‘ Pros:    Informative dashboard|Sales & marketing automation|Easy to track data|Easy integration
  3. We used this BI software in small pharmacy chain In Kazakhstan. After implementing it in all departments we managed to track all the changes in our sales. Moreover, with BI we began to analyze loyalty program effectiveness and found problems that we didn't know about.

    ๐Ÿ Competitors: Qlik, SAP
    ๐Ÿ‘ Pros:    Easy to use|Excellent support
    ๐Ÿ‘Ž Cons:    Only why didnโ€™t i find this before!

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.

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 ่ฒดๆ–นใŒใ“ใ‚Œใพใงใซๅพ—ใฆใใŸๅŠ›ใ€ๅญ˜ๅˆ†ใซ็™บๆฎใ—ใฆใใ ใ•ใ„ใญใ€‚) 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: almost 3 years ago
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: over 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: almost 4 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: about 4 years ago
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Datawiz.io mentions (0)

We have not tracked any mentions of Datawiz.io yet. Tracking of Datawiz.io recommendations started around Mar 2023.

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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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