PolyFuzz
OpenRefine
| PolyFuzz | OpenRefine | |
|---|---|---|
| 2 | 45 | |
| 716 | 10,498 | |
| - | 0.8% | |
| 3.8 | 9.7 | |
| 8 days ago | 3 days ago | |
| Python | Java | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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
OpenRefine
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
"OpenRefine is a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data." https://openrefine.org/
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What you need to know about the future of Mozilla Hubs
Yes, let's hope! The strategy has worked out sometimes - Google shut down 'Google Refine' 10 years ago, it got turned into 'Open Refine', last update 2 months ago. https://github.com/OpenRefine/OpenRefine
It's a hugely useful tool if you're working with messy Excel-scale data, i.e., most biologists or social scientists.
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OpenRefine
It seems to be pure JS with jQuery: https://github.com/OpenRefine/OpenRefine/blob/master/main/we...
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java string equals returns false, even for identical strings
EDIT: trim() does not remove unicode 0x200b (unicode character for zero width space). https://github.com/OpenRefine/OpenRefine/issues/5105 is worth a read.
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UIUC MCS - CS 513 Review - Theory and Practice of Data Cleaning
There were six homework assignments. In order they were Regular Expressions, OpenRefine, Datalog, SQL, Provenance, and Python. None of these assignments took more than two to three hours to complete. They all were basic implementation and programming assignments with autograders.
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"We have great datasets"
Open Refine will get you about 70% there. It's FOSS
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Is there any tools to streamline data cleaning process?
I’ve heard good things about https://openrefine.org/
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What is the best approach to removing duplicate person records if the only identifier is person firstname middle name and last name? These names are entered in varying ways to the DB, thus they are free-fromatted.
It's not suited to SQL, use Open Refine or python fuzzywuzzy.
What are some alternatives?
RapidFuzz - Rapid fuzzy string matching in Python using various string metrics
CQEngine - Ultra-fast SQL-like queries on Java collections
go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...
visidata - A terminal spreadsheet multitool for discovering and arranging data
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.
LightAdmin - [PoC] Pluggable CRUD UI library for Java web applications
simplematch - Minimal, super readable string pattern matching for python.
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
string_grouper - Super Fast String Matching in Python
Jimfs - An in-memory file system for Java 7+
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.
JBake - Java based open source static site/blog generator for developers & designers.