==============================================
Polyleven -- Fast Pythonic Levenshtein Library
==============================================
:Website: https://ceptord.net/
:Latest Release: v0.8 (2022-10-02)
:License: MIT License
1. Introduction
===============
polyleven is a Pythonic Levenshtein distance library that:
- Is *fast* independent of input types, and hence can be used for
both short (like English words) and long input types (like DNA
sequences).
- Can be used readily in a manner not covered by restrictive
licenses such as GPL, hence can be used freely in private codes.
- Supports Python 3.x.
2. How to install
=================
The official package is available on PyPI::
$ pip install polyleven
3. How to use
=============
Polyleven provides a single interface function ``levenshtein()``. You
can use this function to measure the similarity of two strings.
>>> from polyleven import levenshtein
>>> levenshtein('aaa', 'ccc')
3
If you only care about distances under a certain threshold, you can
pass the max threshold to the third argument.
>>> levenshtein('acc', 'ccc', 1)
1
>>> levenshtein('aaa', 'ccc', 1)
2
In general, you can gain a noticeable speed boost with threshold
:math:`k < 3`.
4. Benchmark
============
4.1 English Words
------------------
To compare Polyleven with other Pythonic edit distance libraries,
a million word pairs was generated from `SCOWL`_.
.. _SCOWL: http://wordlist.aspell.net/
Each library was measured how long it takes to evaluate all of
these words. The following table summarises the result:
============================== ============ ================
Function Name TIME[sec] SPEED[pairs/s]
============================== ============ ================
edlib 4.763 208216
editdistance 1.943 510450
jellyfish.levenshtein_distance 0.722 1374081
distance.levenshtein 0.623 1591396
Levenshtein.distance 0.500 1982764
polyleven.levenshtein 0.431 2303420
============================== ============ ================
4.2. Longer Inputs
------------------
To evaluate the efficiency for longer inputs, I created 5000 pairs
of random strings of size 16, 32, 64, 128, 256, 512 and 1024.
Each library was measured how fast it can process these entries. [#fn1]_
============ ===== ===== ===== ===== ===== ===== ======
Library N=16 N=32 N=64 N=128 N=256 N=512 N=1024
============ ===== ===== ===== ===== ===== ===== ======
edlib 0.040 0.063 0.094 0.205 0.432 0.908 2.089
editdistance 0.027 0.049 0.086 0.178 0.336 0.740 58.139
jellyfish 0.009 0.032 0.118 0.470 1.874 8.877 42.848
distance 0.007 0.029 0.109 0.431 1.726 6.950 27.998
Levenshtein 0.006 0.022 0.085 0.336 1.328 5.286 21.097
polyleven 0.003 0.005 0.010 0.043 0.149 0.550 2.109
============ ===== ===== ===== ===== ===== ===== ======
3.3. List of Libraries
----------------------
============ ======= ==========================================
Library Version URL
============ ======= ==========================================
edlib v1.2.1 https://github.com/Martinsos/edlib
editdistance v0.4 https://github.com/aflc/editdistance
jellyfish v0.5.6 https://github.com/jamesturk/jellyfish
distance v0.1.3 https://github.com/doukremt/distance
Levenshtein v0.12 https://github.com/ztane/python-Levenshtein
polyleven v0.3 https://github.com/fujimotos/polyleven
============ ======= ==========================================
.. [#fn1] Measured using Python 3.5.3 on Debian Jessie with Intel Core
i3-4010U (1.70GHz)
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