unicode-slugify
A slugifier that works in unicode (by mozilla)
jellyfish
🪼 a python library for doing approximate and phonetic matching of strings. (by jamesturk)
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| unicode-slugify | jellyfish | |
|---|---|---|
| - | 3 | |
| 320 | 1,989 | |
| 0.0% | - | |
| 0.0 | 6.9 | |
| 3 months ago | 27 days ago | |
| Python | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
unicode-slugify
Posts with mentions or reviews of unicode-slugify.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning unicode-slugify yet.
Tracking mentions began in Dec 2020.
jellyfish
Posts with mentions or reviews of jellyfish.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-11.
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Python Libraries
For sounds something like https://github.com/jamesturk/jellyfish ?
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Comparing Strings (Street Names) With Machine Learning
When comparing strings (in our case street names), there are plenty of off-the-shelf features that can be used, such as those provided by the jellyfish. This package also provides a number of phonetic encodings. We can combine an encoding with a metric, such as Levenshtein Distance, to measure the phonetic similarity between two street names.
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How to match names which differ slightly?
You can use a library like jellyfish which implements a bunch of string comparison algorithms, you'd just have to experiment and see which one gives the best results for you. I think I've had the best luck with Jaro-Winkler, then looking at the % match result and picking a cutoff above which I have good confidence that the match is real. It's still not perfect, and I really don't see how your last example would work with just about any automated comparison.
What are some alternatives?
When comparing unicode-slugify and jellyfish you can also consider the following projects:
python-slugify - Returns unicode slugs
fuzzywuzzy - Fuzzy String Matching in Python
HaikunatorPY - Generate Heroku-like random names to use in your python applications
TextDistance - 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
awesome-slugify - Python flexible slugify function
Levenshtein - The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
ijson
Pygments
汉字拼音转换工具（Python 版） - 汉字转拼音(pypinyin)
ceja - PySpark phonetic and string matching algorithms
unicode-slugify vs python-slugify
jellyfish vs fuzzywuzzy
unicode-slugify vs HaikunatorPY
jellyfish vs TextDistance
unicode-slugify vs awesome-slugify
jellyfish vs Levenshtein
unicode-slugify vs ijson
jellyfish vs Pygments
unicode-slugify vs 汉字拼音转换工具（Python 版）
jellyfish vs ceja
unicode-slugify vs TextDistance
jellyfish vs 汉字拼音转换工具（Python 版）