PolyFuzz VS simplematch

Compare PolyFuzz vs simplematch and see what are their differences.

PolyFuzz

Fuzzy string matching, grouping, and evaluation. (by MaartenGr)
levenshtein-distance Embeddings Bert tf-idf string-matching edit-distance
Source Code
maartengr.github.io
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simplematch

Minimal, super readable string pattern matching for python. (by tfeldmann)
Text processing Parser string-matching Python pattern-matching regular-expressions Regex
Source Code
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PolyFuzz simplematch
2 2
716 173
- -
3.8 5.6
6 days ago 27 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

PolyFuzz

Posts with mentions or reviews of PolyFuzz. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-08.

simplematch

Posts with mentions or reviews of simplematch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PolyFuzz and simplematch you can also consider the following projects:

RapidFuzz - Rapid fuzzy string matching in Python using various string metrics

python-nameparser - A simple Python module for parsing human names into their individual components

go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...

pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]

contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

string_grouper - Super Fast String Matching in Python

python-user-agents - A Python library that provides an easy way to identify devices like mobile phones, tablets and their capabilities by parsing (browser) user agent strings.

stringlifier - Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Python Left-Right Parser - Python Parser

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

Construct - Construct: Declarative data structures for python that allow symmetric parsing and building

PolyFuzz vs RapidFuzz simplematch vs python-nameparser PolyFuzz vs go-edlib simplematch vs pyparsing PolyFuzz vs contextualized-topic-models simplematch vs Lark PolyFuzz vs string_grouper simplematch vs python-user-agents PolyFuzz vs stringlifier simplematch vs Python Left-Right Parser PolyFuzz vs recommendation-system simplematch vs Construct