No project description provided
Project description
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 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 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.
- This modules was designed and implemented by melonattacker and the original source code comes from utility-token-price-simulator.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pybrownomics-0.2.0.tar.gz
(9.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pybrownomics-0.2.0.tar.gz.
File metadata
- Download URL: pybrownomics-0.2.0.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.13 Darwin/22.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
801b6ecbeffe4a96c2a0b9073b0bd92e93f3bc46879471428ac8568f94f43dc0
|
|
| MD5 |
b2c3075317f4d92329cbc7a34bbc6833
|
|
| BLAKE2b-256 |
47077cfd9e7549fa04586445dacd70a3f7de2607757abd8df379438759d90bef
|
File details
Details for the file pybrownomics-0.2.0-py3-none-any.whl.
File metadata
- Download URL: pybrownomics-0.2.0-py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.13 Darwin/22.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe9087cfe100c80454888fec6adb7dfdf145c99b6cb08e4bd47708d4af8497a6
|
|
| MD5 |
cfa32c2361ad7a032f048b0c40bd1b59
|
|
| BLAKE2b-256 |
93386042052c805360d4a412dd4e89723c9ba8a73c39ec31cf6da17ccd113d4e
|