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Generate unique, human-readable, and memorable names or identifiers

Project description

unique-namer

PyPI - Version

A Python package and command-line utility to generate unique, human-readable, and memorable names (e.g., talented-toucan, naughty-watermelon) and identifiers (e.g., broken-radio-7ab4g) across various categories such as science, animals, biology, etc.

Features

  • Nearly 10 million unique names
  • Nearly infinite unique identifiers
  • Ideal for naming temporary directories, user session IDs, gamer tags, project names, and more.

Table of contents

  1. Categories
  2. Requirements
  3. Installation
  4. Using Without Installation
  5. Usage
    1. Generating Names
    2. Customizing Names
    3. Getting Category List
    4. Adding Custom Categories
  6. Command-line Utility
    1. Getting Statistics
    2. Generating Names
  7. Versioning
  8. License

1. Categories

Categories enable customization of generated names to align with the specific topic or theme of the project.

- Category Nouns count Example name Possible combinations
Names IDs (suffix 4)
__all__ 4188 awful-deadline 9,929,748 1013
:chipmunk: animals 450 tan-octopus 1,066,950 1012
:department_store: architecture 130 blowing-facade 308,230 1011
:telescope: astronomy 124 ruthless-meteoroid 294,004 1011
:four_leaf_clover: biology 585 shiny-centriole 1,387,035 1012
:test_tube: chemistry 127 junior-peroxide 301,117 1011
:us: countries 182 satisfying-tanzania 431,522 1011
:computer: computer_science 277 funny-malware 656,767 1012
:hamburger: food 167 pretty-waffle 395,957 1011
:earth_americas: geography 182 enjoyed-tsunami 431,522 1011
:european_castle: history 149 cool-epoch 353,279 1011
:triangular_ruler: math 146 peachy-prime 346,166 1011
:hospital: medicine 679 curly-diarrhea 1,609,909 1012
:bug: microbiology 102 crazy-bacteria 241,842 1011
:gun: misc 353 curvy-flight 836,963 1012
:microscope: molecular_biology 117 retired-oligonucleotide 277,407 1011
:musical_note: music 182 solid-contrabassoon 431,522 1011
:atom: physics 135 terrible-pressure 320,085 1011
:sunflower: plants 162 anonymous-cactus 384,102 1011
:books: science 605 golden-hertz 1,434,455 1012
:technologist: scientists 101 gifted-newton 239,471 1011
:basketball: sports 123 intergalactic-olympics 291,633 1011

2. Requirements

  • Python version 3.6 or higher
  • No external dependencies are required

3. Installation

Install unique-namer from PyPI:

pip install unique-namer

Alternatively, you can install the latest version directly from GitHub:

pip install "git+https://github.com/aziele/unique-namer.git"

4. Using without installation

If you prefer to use unique-namer without installation, you can clone or download the repository:

git clone https://github.com/aziele/unique-namer.git
cd unique-namer/src/

You can import namer in Python:

python
>>> import namer
>>> namer.__doc__
'Generate unique, human-readable, and memorable names or identifiers'

You can also use unique-namer as a command-line tool:

python -m namer

5. Usage

5.1. Generating names

The generate function returns a string with a randomly generated name consisting of an adjective and a noun.

import namer

name = namer.generate()
print(name)   # Example: 'blushy-cyclist'

category - str or list, default is an empty string

By default, generate randomly selects one category to pick a noun from. Categories are selected with equal probability, regardless of the number of nouns they contain. You can specify one or more categories to restrict the selection.

import namer

name = namer.generate(category='astronomy')
print(name)   # Example: 'crazy-supernova'                 

name = namer.generate(category=['physics', 'molecular_biology'])
print(name)   # Example: 'pink-bacteria'

suffix_length - int, default is 0

Adds a random suffix of the specified length to the generated name to create a unique identifier. The suffix consists of alphanumeric characters (0-9a-z).

import namer

name = namer.generate(category='history', suffix_length=3)
print(name)   # Example: 'annoying-cleopatra-9a1'

separator - str, default is '-'

Specifies the separator to use between the adjective, noun, and suffix in the generated name.

import namer

name = namer.generate(category='sports', separator='_')
print(name)   # Example: 'savage_judo'

style - str, one of title, lowercase, uppercase

Specifies the text case format of the generated name.

import namer

name = namer.generate(suffix_length=5, style='uppercase')
print(name)   # Example: 'DAMAGED-ELECTRON-J20ZX'

name = namer.generate(separator=' ', style='title')
print(name)   # Example: 'Lazy Unicorn'

5.2. Customizing names

To customize generated names for specific project requirements (e.g., adding date or project name), use the _generate function. This function returns a Python list of name components, which you can modify and format into a string name.

import namer

# Generate name components
name_components = _generate(category='food', suffix_length=3)
print(name_components)   # Example: ['macho', 'pizza', '7dx']

# Create custom generate function
def my_generate(*args, separator='_', **kwargs):
    name_components = namer_generate(*args, **kwargs)
    name_components.insert(0, '2024')
    return separator.join(name_components)

name = my_generate(category='food', suffix_length=3)
print(name)         # Example: 2024-macho-pizza-7dx

5.3. Getting category list

You can retrieve the list of available categories using the list_categories function.

import namer

print(namer.list_categories())
# ['animals', 'architecture', 'astronomy', 'biology', 
# 'chemistry', 'computer_science', 'countries', 'food',
# 'geography', 'history', 'math', 'medicine, 'misc', 
# 'microbiology', 'molecular_biology', 'music', 'physcics', 
# 'plants', 'science', 'scientists', 'sports']

5.4. Adding custom categories

To generate names or IDs tailored to your project, you can add custom categories. Extend the namer.data.categories dictionary with lists of words representing your custom category.

import namer

# Create two subcategories.
my_dogs = ['charlie', 'bella', 'biga']
my_cats = ['tommy', 'lucy']

# Add a custom category named 'my_pets' containing both dogs and cats
namer.data.categories['my_pets'] = [my_dogs, my_cats]

# Generate a name from the 'my_pets' category
name = namer.generate(category='pets')
print(name)   # Example: 'thankful-tommy'

6. Command-line utility

The tool is available as a command-line utility.

namer -h

or

python -m namer -h

6.1. Getting statistics

The stats command prints a table with name/ID statitics for each category.

namer stats

Output:

Category           Nouns  Example                 Name_combs  ID_combs (4-char suffix)
__all__             4188  arid_decomposition       9,929,748  2e+13
animals              450  spotty_swallow           1,066,950  2e+12
architecture         130  southern_triglyph          308,230  5e+11
astronomy            124  frayed_sirius              294,004  5e+11
biology              585  swarm_stanley            1,387,035  2e+12
chemistry            127  minimal_autoionization     301,117  5e+11
countries            182  agreed_afghanistan         431,522  7e+11
computer_science     277  abrasive_language          656,767  1e+12
food                 167  complete_ice               395,957  7e+11
geography            182  agricultural_world         431,522  7e+11
history              149  sunset_expedition          353,279  6e+11
math                 146  wilful_mapping             346,166  6e+11
medicine             679  protective_foreskin      1,609,909  3e+12
microbiology         102  fast_transmission          241,842  4e+11
misc                 353  earthy_canteen             836,963  1e+12
molecular_biology    117  acyclic_codon              277,407  5e+11
music                182  genteel_adagio             431,522  7e+11
physics              135  outrageous_conductor       320,085  5e+11
plants               162  dapper_peony               384,102  6e+11
science              605  full_koch                1,434,455  2e+12
scientists           101  urgent_planck              239,471  4e+11
sports               123  satisfactory_swim          291,633  5e+11

6.2. Generating names

The generate command creates a list of names or IDs based on specified parameters.

Example 1: Generating 5 names

namer generate 5

Output:

basic-mortise
focused-berry
uncommon-broth
decisive-dentil
kingly-afforestation

Example 2: Generating 10 IDs with custom parameters

To generate 10 IDs from the physics and biology categories, with a random suffix of 3 characters, using _ as a separator, and converting name style to title, use

namer generate 10 --category physics --category biology --suffix_length 3 -- \
separator _ --style title

Output:

Visiting_Haploid_Eep
Eventual_Refraction_Cnr
Snugly_Monod_Sim
Cruel_Codon_46p
Relieved_Decibel_Cn5
Underground_Bug_7wf
Super_Acre_30r
Guttural_Farad_E1w
Lead_Stalk_Fi4
Formidable_Field_621

7. Versioning

The package adheres to Semantic Versioning with the format MAJOR.MINOR.PATCH:

  • MAJOR version is incremented for significant codebase changes, such as new features or major reorganizations.
  • MINOR version is incremented for category-related updates, like adding or modifying categories.
  • PATCH version is incremented for bug fixes, improvements, or vocabulary expansions without category changes.

8. License

MIT License

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