ceja
textdistance.rs
ceja | textdistance.rs | |
---|---|---|
1 | 1 | |
32 | 252 | |
- | -0.8% | |
2.3 | 7.8 | |
2 months ago | 11 months ago | |
Python | Rust | |
MIT License | MIT License |
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ceja
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Which language is better for Spark & Why?
Some Python libraries are easily wrapped via UDFs, see ceja, but don't overestimate this benefit. Most Python libraries cannot be wrapped and run via Spark in a performant manner.
textdistance.rs
What are some alternatives?
jellyfish - 🪼 a python library for doing approximate and phonetic matching of strings.
strsim-rs - :abc: Rust implementations of string similarity metrics
TextDistance - 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
strutil-go - Golang metrics for calculating string similarity and other string utility functions
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Edits - Edit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...