TokenLab

A python library for simulating token economies for Web3.0 and blockchain projects. Created by Stylianos Kampakis, PhD, CStat

TokenLab principles

Tokenlab is a library for simulating token economies based on agent based models. It abides by the following principles:

1. Modularity: The different components can be merged as the user sees fit.

2. Explicitness: The assumptions behind the different modules are stated clearly, as well as any limitations.

3. Intermediate-level-of-abstraction: TokenLab is focused on simulating the actions of aggregate groups of agents (e.g. a certain user cohort), instead of individuals.

4. Focus on the economy: TokenLab's tools are focused on answering questions about a token economy, and performing things such as stress tests.

5. Flexibility: TokenLab is designed in a way that it offers maximum flexibility to those who desire it. It can support logical flows, or arbitrary mechanisms within its simulations, for any kind of agent action.

Documentation

Documentation is still work in progress. Check the notebooks section for tutorials and instructions.

Whom to contact

If you have any requests or comments, please reach out to Dr Kampakis https://thedatascientist.com/contact-dr-kampakis/ or to the Tesseract Academy https://tesseract.academy/contact/

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