There are other algorithms that are available in TextDistance that may be considered.

Edit based

• MLIPNShttp://www.sial.iias.spb.su/files/386-386-1-PB.pdf
• Strcmp95http://cpansearch.perl.org/src/SCW/Text-JaroWinkler-0.1/strcmp95.c
• Needleman-Wunschhttps://en.wikipedia.org/wiki/Needleman%E2%80%93Wunsch_algorithm
• Gotohhttp://bioinfo.ict.ac.cn/~dbu/AlgorithmCourses/Lectures/LOA/Lec6-Sequence-Alignment-Affine-Gaps-Gotoh1982.pdf
• Smith-Watermanhttps://en.wikipedia.org/wiki/Smith%E2%80%93Waterman_algorithm

Token based

• Tversky indexhttps://en.wikipedia.org/wiki/Tversky_index
• Tanimoto distancehttps://en.wikipedia.org/wiki/Jaccard_index#Tanimoto_similarity_and_distance
• Monge-Elkanhttps://www.academia.edu/200314/Generalized_Monge-Elkan_Method_for_Approximate_Text_String_Comparison
• Bag distancehttps://github.com/Yomguithereal/talisman/blob/master/src/metrics/bag.js

Alternate Method

• Ratcliff-Obershelp similarityhttps://en.wikipedia.org/wiki/Gestalt_Pattern_Matching
• Normalized compression distance (requires compression)https://en.wikipedia.org/wiki/Normalized_compression_distance#Normalized_compression_distance

Major Source of Info:https://github.com/life4/textdistance