A Python module to generate true random numbers.
pytrng contains a true random number generator (TRNG) based on physical events, and a pseudo random number generator (PRNG). It uses multiple inputs to generate a random bit array and does not need any extra hardware.
Do not use the output of this package for encryption software!
The following TRNG input data is hashed (SHA1 to SHA512) and connected with XOR:
- mouse position
- time since epoch
- system uptime
- disk speed (create and delete a temporary file)
- sensor temperatures
Every input is hashed and concatenated with the previous input. This result is hashed again and concatenated with the next input. When all inputs are hashed and concatenated, the result is hashed again used as output.
This model shows how that process works:
pytrng is under development. You find it on TestPyPi and GitHub.
You install pytrng via pip:
pip install -i https://test.pypi.org/simple/ --no-deps pytrng
Initialize pytrng with 512 as a parameter to generate a 512-bit number (only 160, 224, 256, 384 and 512 are
allowed):
from pytrng import pytrng
trng = pytrng(512)
random_num = trng.generate_random()
print(random_num) # random_num as bytes
print(int.from_bytes(random_num, byteorder='big')) # random_num as intYou receive raw data using the DataCollector class (TRNG-data):
from pytrng import DataCollector
dc = DataCollector(256) # 256-bit output data
print("Mouse position: " + str(dc.get_mouse_position()))
print("Time since epoch: " + str(dc.get_time_since_epoch()))
print("System uptime: " + str(dc.get_sys_uptime()))
print("Disk speed: " + str(dc.get_disk_speed()))
print("Sensor temperatures: " + str(dc.get_sensors()))You create your own DataPool to use custom input data:
from src.pytrng import pytrng
from src.pytrng import DataPool
from src.pytrng import DataCollector
# custom data pool
dp = DataPool(512)
# collect data
dc = DataCollector(512)
dp.append(b'sh273w') # a static custom value
dp.append(dc.get_sensors()) # DataCollector sensor data
dp.append(dc.get_sys_uptime()) # DataCollector system uptime
# generate random bytes
r = pytrng()
r.generate_random(dp)MIT License
Copyright (c) 2023 - 2025 Gregor Gottschewski
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.