PolyFuzz VS recommendation-system

Compare PolyFuzz vs recommendation-system and see what are their differences.

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PolyFuzz recommendation-system
2 1
716 10
- -
3.8 3.6
5 days ago almost 2 years ago
Python Python
MIT License Apache License 2.0
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.

recommendation-system

Posts with mentions or reviews of recommendation-system. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing PolyFuzz and recommendation-system you can also consider the following projects:

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

rank_bm25 - A Collection of BM25 Algorithms in Python

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

distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points

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.

docker-livy - Dockerizing and Consuming an Apache Livy environment

simplematch - Minimal, super readable string pattern matching for python.

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

string_grouper - Super Fast String Matching in Python

pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.

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.

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)