simstring
A Python implementation of the SimString, a simple and efficient algorithm for approximate string matching.
Docs are here
Features
With this library, you can extract strings/texts which has certain similarity from large amount of strings/texts. It will help you when you develop applications related to language processing.
This library supports variety of similarity functions such as Cossine similarity, Jaccard similarity, and supports Word N-gram and Character N-gram as features. You can also implement your own feature extractor easily.
SimString has the following features:
- Fast algorithm for approximate string retrieval.
- 100% exact retrieval. Although some algorithms allow misses (false positives) for faster query response, SimString is guaranteed to achieve 100% correct retrieval with fast query response.
- Unicode support.
- Extensibility. You can implement your own feature extractor easily.
- no japanese support Please see this paper for more details.
Install
pip install simstring-fast
Usage
from simstring.feature_extractor.character_ngram import CharacterNgramFeatureExtractor
from simstring.measure.cosine import CosineMeasure
from simstring.database.dict import DictDatabase
from simstring.searcher import Searcher
db = DictDatabase(CharacterNgramFeatureExtractor(2))
db.add('foo')
db.add('bar')
db.add('fooo')
searcher = Searcher(db, CosineMeasure())
results = searcher.search('foo', 0.8)
print(results)
# => ['foo', 'fooo']
If you want to use other feature, measure, and database, simply replace these classes. You can replace these classes easily by your own classes if you want.
from simstring.feature_extractor.word_ngram import WordNgramFeatureExtractor
from simstring.measure.jaccard import JaccardMeasure
from simstring.database.dict import DictDatabase
from simstring.searcher import Searcher
db = DictDatabase(WordNgramFeatureExtractor(2))
db.add('You are so cool.')
searcher = Searcher(db, JaccardMeasure())
results = searcher.search('You are cool.', 0.8)
print(results)
Supported String Similarity Measures
- Cosine
- Dice
- Jaccard
- Overlap
- Left Overlap
Supported database backends
- dictionary
- diskcache (sqlite)
- redis (in development #37)
1 maintainer
Release files for simstring-fast 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| simstring_fast-0.6.0.tar.gz | 7.7 kB | Details |
Built distributions (wheels)
Total release size: 6.3 MB
Release files / simstring_fast-0.6.0.tar.gz
| Download URL | simstring_fast-0.6.0.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
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Release files / simstring_fast-0.6.0-cp313-cp313-win_amd64.whl
| Download URL | simstring_fast-0.6.0-cp313-cp313-win_amd64.whl |
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| Size | 143.1 kB |
| Tags | CPython 3.13 Windows x86-64 |
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Release files / simstring_fast-0.6.0-cp313-cp313-win32.whl
| Download URL | simstring_fast-0.6.0-cp313-cp313-win32.whl |
|---|---|
| Size | 129.3 kB |
| Tags | CPython 3.13 Windows x86-32 |
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Release files / simstring_fast-0.6.0-cp313-cp313-musllinux_1_2_x86_64.whl
| Download URL | simstring_fast-0.6.0-cp313-cp313-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 250.0 kB |
| Tags | CPython 3.13 Linux musl 1.2+ x86-64 |
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Release files / simstring_fast-0.6.0-cp313-cp313-musllinux_1_2_i686.whl
| Download URL | simstring_fast-0.6.0-cp313-cp313-musllinux_1_2_i686.whl |
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| Tags | CPython 3.13 Linux musl 1.2+ x86-32 |
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Release files / simstring_fast-0.6.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
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No |
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twine/6.1.0 CPython/3.9.22
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Release files / simstring_fast-0.6.0-cp39-cp39-win_amd64.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-win_amd64.whl |
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twine/6.1.0 CPython/3.9.22
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Release files / simstring_fast-0.6.0-cp39-cp39-win32.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-win32.whl |
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| Size | 129.2 kB |
| Tags | CPython 3.9 Windows x86-32 |
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twine/6.1.0 CPython/3.9.22
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Release files / simstring_fast-0.6.0-cp39-cp39-musllinux_1_2_x86_64.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-musllinux_1_2_x86_64.whl |
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| Size | 244.8 kB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 |
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twine/6.1.0 CPython/3.9.22
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Release files / simstring_fast-0.6.0-cp39-cp39-musllinux_1_2_i686.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-musllinux_1_2_i686.whl |
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| Size | 249.7 kB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-32 |
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Release files / simstring_fast-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 240.3 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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twine/6.1.0 CPython/3.9.22
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Release files / simstring_fast-0.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | simstring_fast-0.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
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twine/6.1.0 CPython/3.9.22
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