An algorithm provides scores between 0.0 (no match) to 1.0 (perfect match) for a comparison of two strings.

The algorithm is designed for auto-completion. For string similarity, please check Levenshtein distance (Wagner–Fischer algorithm).

Include the library:

from stringscore import liquidmetal

Score any string against an abbreviation:

>>> liquidmetal.score('FooBar', 'foo')
0.95
>>> liquidmetal.score('FooBar', 'fb')
0.916666666667
>>> liquidmetal.score('Foo Bar', 'fb')
0.928571428571
>>> liquidmetal.score('Foo Bar', 'baz')
0.0
>>> liquidmetal.score('Foo Bar', '')
0.8

• Quicksilver's scoreForAbbreviation algorithm by Alcor (Blacktree, Inc)
• LiquidMetal by Ryan McGeary
• string_score by Joshaven Potter
• jQuery.fuzzyMatch by Rapportive

String Score is released under the MIT License.