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ATLAS.ti VS FuzzyWuzzy

Compare ATLAS.ti VS FuzzyWuzzy and see what are their differences


ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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

ATLAS.ti details

Categories
Market Research Text Analytics Research Tools
Website atlasti.com  

FuzzyWuzzy details

Categories
Spreadsheets Data Analysis NLP And Text Analytics
Website github.com  

ATLAS.ti videos

Literature Review with ATLAS.ti 8 Windows and Mac (Jan. 25th, 2018)

More videos:

  • - Overview of ATLAS.ti 8 Windows April 10th, 2018
  • - Literature Review and Qualitative Data Analysis Using Atlas.ti by Muhammad Farooq Buzdar

FuzzyWuzzy videos

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

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Category Popularity

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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 Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

ATLAS.ti mentions (0)

We have not tracked any mentions of ATLAS.ti yet. Tracking of ATLAS.ti recommendations started around Mar 2021.

FuzzyWuzzy mentions (11)

  • The Levenshtein Distance in Production
    I used fuzzywuzzy [1], a python-based fuzzy string matching calculator that is based on Levenshtein's edit-distance for a parking enforcement product I built. The product used an iOS client to capture license plates. The app would capture a single plate many times, de-duplicate using an edit-distance threshold matching plates up to a time period lookback. Then among those plates, send the one with the highest... - Source: Hacker News / about 2 months ago
  • RoR Determine how similar DB rows are
    Probably something as simple as loading it into the memory then calculating Damerau–Levenshtein distance for each pair and setting some threshold below which records are considered duplicates. If you want some more fancy similarities calculator, Python is probably better equipped in terms of ready-made libraries. - Source: Reddit / 3 months ago
  • How to award a score (1-100) for closeness to the right answer?
    FuzzyWuzzy has an easy-to-use implementation: https://github.com/seatgeek/fuzzywuzzy. - Source: Reddit / 4 months ago
  • List of top-30 Women authors using 2021 and 2019 poll data
    After the above process, I was left to deal with minor differences in author names, like initials, spacing, typos, etc. There were too many entries to adjust manually, so I used fuzzywuzzy to determine if two entries were close enough. This trick would fail with authors, say R.J. Barker and R.J. Parker but I didn't find such entries during a sample manual sanity check from these groupings. - Source: Reddit / 4 months ago
  • File loop confusion
    Iterate separately over the two files, get the single DNA in a variable and the 180 in a list (make sure they are stored as string). You can use fuzzywuzzy to get the most similar match. - Source: Reddit / 4 months ago

What are some alternatives?

When comparing ATLAS.ti and FuzzyWuzzy, you can also consider the following products

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

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

RQDA - RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis...

Amazon Comprehend - Discover insights and relationships in text

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

User reviews

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