Skip to main content

Provide several randomness sources in Python with a common API

Project description

Randomness Sources for Python

Current Features

  • unified API to randomness sources
  • API access to the system's true randomness generator
  • a list of randomness providers to choose from
  • provider flags which you can filter for

Planned Features

  • comprehensive tests for randomness quality (dieharder, ENT, ...)
  • more PRNGs (Wichmann-Hill, xorshift, ...)
  • more TRNGs (VIA Padlock RNG, external hardware, ...)
  • better API to filter and sort providers
  • choice between wasteful and conserving usage of random bits, the latter most likely with a mixin
  • adapter to provide the Numpy API for all randomness sources, most likely by way of a mixin


You can instantiate a randomness source directly if you know it's there (or if you handle the exception in case it's not):

from randomness import URandom

    from randomness import Random

except ImportError:

random = URandom()

Or you can peruse the list of providers and select one out of those (possibly filtering the list first):

from randomness import PROVIDERS, ProviderFlag

# filter randomness providers
my_providers = [provider for provider in PROVIDERS
                if provider.flags & ProviderFlag.NEVER_BLOCKING]

# dump provider names
for provider in my_providers:

# instantiate a randomness context
chosen_provider = my_providers[0]
random = chosen_provider.cls()

From this point forward usage is the same as if you had done from random import Random; random = Random().

# perform a die roll
die_result = random.randint(1, 6)

# select a random cheese
CHEESE_SHOP_PRODUCTS = ["Tilsit", "Cheddar", "Roquefort", "Gouda"]
cheese = random.choice(CHEESE_SHOP_PRODUCTS)

# draw lottery numbers
amount_of_numbers = 49
amount_to_draw = 6
series = random.sample(range(1, amount_of_numbers + 1),

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

randomness-0.2.1.tar.gz (6.4 kB view hashes)

Uploaded source

Built Distribution

randomness-0.2.1-py3-none-any.whl (7.8 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page