randfacts VS SOPG

Compare randfacts vs SOPG and see what are their differences.

randfacts

Python module used to generate random facts (by TabulateJarl8)

SOPG

Secure-Obscure Password Generator (by zarni-ein)
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randfacts SOPG
2 3
18 1
- -
4.3 10.0
6 months ago over 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

randfacts

Posts with mentions or reviews of randfacts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-02.
  • Python packaging
    2 projects | /r/learnpython | 2 Jul 2021
  • Building a distribution of your project - cwd
    2 projects | /r/learnpython | 29 Apr 2021
    What is the file structure of the installed package's folder (on Linux you could just run the tree command in the installed folder), and what code is trying to access the files? Here's an example of one of my modules that reads text files in it's installed directory, maybe it will help https://github.com/TabulateJarl8/randfacts/blob/master/randfacts/main.py

What are some alternatives?

When comparing randfacts and SOPG you can also consider the following projects:

sampleproject - A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

random-pose-generator - Stable diffusion random controlnet pose generator

pySRURGS - Symbolic regression by uniform random global search

Genter - A strong and customizable password generator made with python3!

IconMaker - Make tkinter icons embedded into the source code.

rocket - ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

atmos-rng - A randomness generator based off of atmospheric noise instead of math to generate numbers, choices, and to shuffle lists.

Evolution_simulation - using ursina, I have made a Evolution simulation. To move the screen use [w,s,d,a] keys to move through the x and y directions and use the [e,r] values to move through the z axis. Use the sliders to control the death and birth rate of the simulation. Don't be afraid to change the code or to reload the simulation multiple times.