Fork of a project by GitHub user shamrin, with the python3 port modified to accommodate an optional argument for a PRNG seed.
It also comes with a Docker image, for ease of deployment in containerised applications.
Seeded name generation can help provide human-readable mnemonics for keeping track of data that would otherwise be near-impossible for an average human to memorise.
This had some unexpected use cases in HPC and cluster management, particularly when working with large-scale Kubernetes multiclusters, Compose stacks and IPv6 addresses. For instance, suspicious_booth
is much easier to remember than its cumbersome PRNG seed 483f:377d:7320:e965:37a1:6193:3aca:ca6e
.
# Random seed
$ python3 namesgenerator.py
quizzical_fermat
$ python3 namesgenerator.py
sharp_stallman
$ python3 namesgenerator.py
amazing_roentgen
# Seeded PRNG
$ python3 namesgenerator.py "helloworld"
upbeat_galileo
$ python3 namesgenerator.py "helloworld"
upbeat_galileo
$ python3 namesgenerator.py "helloworld"
upbeat_galileo
# Build
$ docker build . -t namegen
# Random seed
docker run --rm namegen
focused_chandrasekhar
# Seeded PRNG
docker run -e SEED="helloworld" --rm namegen
upbeat_galileo