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Thefuzz Alternatives
Similar projects and alternatives to thefuzz
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Slavic-BERT-NER
Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better thefuzz alternative or higher similarity.
thefuzz reviews and mentions
Posts with mentions or reviews of thefuzz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-11.
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File Path Issue
probbaly can use https://github.com/seatgeek/thefuzz
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[Flask] Best / Modern approaches for fuzzy name searching?
Check out https://github.com/seatgeek/thefuzz. It basically provides different methods that take two strings and return a score between 0 and 100 indicating how similar they are. For instance,
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How to identify duplicate crawl data?
Consider something like Levenshtein distance and one of it's implementations like thefuzz.
- Find best match between a reference string and a list of strings
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NLP: How to rebuild a name from letters
The problem you are solving is most commonly called “fuzzy string matching”. There are a bunch of algorithms for it (some of which are described in this thread) depending on your specific requirements. I’d start with an existing fuzzy string matching library (e.g. thefuzz, for python) and calculate matches between your input letter cases and your list of names. This sounds pretty reasonable to do fast since fuzzy string matching is commonly used in text editors to make it easier to find files. If you start with a fuzzy string matching library, I wouldn’t worry about asymptomatic complexity until you actually see a performance problem.
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Is there a Python library that lets me search through a list like searching with a search engine?
You probably want a package that can do fuzzy matching. The first search result for me turned up this: https://github.com/seatgeek/thefuzz
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How good is my summary?
Having said that, you can use the Levenshtein distance to compute how many "edits" (substitutions, deletions, insertions) the generated summary is away from the original abstract. The package TheFuzz implements this concept in Python. For example fuzz.ratio(text1, text2) will give you a similarity score.
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import fuzzywuzzy
fuzzywuzzy is actually just called the thefuzz now.
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Bad word filter?
It sounds like what you're looking for is "fuzzy string matching," which is not just checking if a string matches another exactly, but defining a way to measure "how close" a string is to another. Luckily, it looks like there's a good Python library for that already: https://github.com/seatgeek/thefuzz
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Extracting information from scanned PDF docs, is it possible?
Finally, even though Tesseract's output is usually very nice, it can sometime make a mistake. Again, this is case-specific, and if you're extracting for example numbers, it will be very hard to check for errors, but since I'm extracting names, I'm capable of fuzzy comparing the names detected by Slavic NER to a database of names that I have. I do this fuzzy matching with thefuzz library, and in cases I find a very high match with one of the names in my database, I simply fix the error by taking the name from there.
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Stats
Basic thefuzz repo stats
10
2,459
6.2
about 2 months ago
seatgeek/thefuzz is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of thefuzz is Python.
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