A creatively named tool to suggest names of a particular gender similar to an input name. Uses data from https://www.ssa.gov/oact/babynames/limits.html
This tool has the optional dependencies of phonetics and python-Levenshtein. It can handle them being missing, but the results are likely to be much worse.
on linux you can just do:
./sift.py [from] [to] [gender] [input name]
on other OSes you probably need to stick python or python3 on the front of that.
[from] and [to] specify a birth year range, between 1880 and 2019. it is required for now. Use the same number twice to specify only one year.
[gender] specifies a gender, and is 'm', 'f', or 'n'. A name that is >= 60% correllated with a particular sex (the dataset this uses only has 'M' and 'F'...) will be considered that gender for 'm' and 'f', and anything between 40% and 60% will be given for 'n'.
[input name] is a name you want the output to be similar to. The output is sorted by similarity to this name.
ex: ./sift.py 1960 1980 f john
more options can be displayed using ./sift.py -h
$./sift.py 1960 1980 f john -n 10
joan: 99.14% feminine (n=43960)
johna: 100.00% feminine (n=1138)
johni: 100.00% feminine (n=65)
jean: 91.99% feminine (n=53257)
jann: 96.47% feminine (n=652)
jenn: 100.00% feminine (n=10)
jan: 81.00% feminine (n=19889)
jen: 100.00% feminine (n=139)
joann: 99.63% feminine (n=35428)
jonna: 100.00% feminine (n=2595)