Metadata-Version: 2.1
Name: pybrownomics
Version: 0.2.2
Summary: 
License: MIT
Author: Lorenzo Alencar Tomaz
Author-email: lolo.tomaz@gmail.com
Requires-Python: >=3.8.0,<3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: matplotlib (>=3.7.2,<4.0.0)
Requires-Dist: numpy (>=1.24.2,<2.0.0)
Requires-Dist: pandas (>=2.0.3,<3.0.0)
Requires-Dist: scipy (>=1.10.1,<2.0.0)
Description-Content-Type: text/markdown

# PyBrownomics

PyBrownomics is a package with different tokenomics simulation models.

Models:

- pybrownomics/control:

  - Implements the concepts outlined in the research article [A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics](https://arxiv.org/pdf/2210.12881.pdf) by Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, and Sandeep Chinchali.
  - **The implementation for this module was designed by the pybrownomics team during for the [superhack](https://ethglobal.com/events/superhack) ETHGlobal hackathon.**

- pybrownomics/brown:
  - Utility Token Price Simulator is a simulator that simulates general token price when setting parameters.
    It is implemented based on the theory of [Tokenomics: Dynamic Adoption and Valuation](https://bfi.uchicago.edu/wp-content/uploads/WP_2018-49.pdf).
  - **This modules was designed and implemented by [melonattacker](https://github.com/melonattacker) and the original source code comes from [utility-token-price-simulator](https://github.com/melonattacker/utility-token-price-simulator).**

