Skip to main content
Donate to the Python Software Foundation or Purchase a PyCharm License to Benefit the PSF! Donate Now

Agent-Based Complete Economy modelling platform

Project description

ABCE is a Python based modeling platform for economic simulations. ABCE comes with standard functions to simulations of trade, production and consumption. The modeler can concentrate on implementing the logic and decisions of an agents; ABCE takes care of all exchange of goods and production and consumption.

http://abce.readthedocs.io/en/0.9b/_images/cheesegrater.png

In ABCE goods have the physical properties of goods in reality in the sense that if agent A gives a good to agent B, then - unlike information - agent B receives the good and agent B does not have the good anymore. The ownership and transformations (production or consumption) of goods are automatically handled by the platform.

ABCE models are programmed in standard Python, stock functions of agents can be inherited from archetype classes (Firm or Household). The only not-so-standard Python is that agents are executed in parallel by the Simulation class (in start.py).

ABCE allows the modeler to program agents as ordinary Python class-objects, but run the simulation on a multi-core/processor computer. It takes no effort or intervention from the modeler to run the simulation on a multi-core system. The speed advantages of using ABCE with multi-processes enabled. ABCE are typically only observed for 10000 agents and more. Below, it might be slower than pure python implementation. ABCE supports pypy3, which is approximately 10 times faster than CPython.

ABCE is a scheduler and a set of agent classes. According to the schedule the simulation class calls - each sub-round - agents to execute some actions. Each agent executes these actions using some of the build-in functions, such as trade, production and consumption of ABCE. The agents can use the full set of commands of the Python general purpose language.

The audience of ABCE are economists that want to model agent-based models of trade and production.

ABCE does support an accounting framework for financial simulations. ESL can be downloaded here.

ABCE runs on macOS, Windows, and Linux. ABCE runs 10x faster on pypy!

https://zenodo.org/badge/4157636.svg ABCE build status on Travis CI ABCE build status on Appveyor CI Pypi version readthedocs

Install with:

pip3 install abce

The documentation is here:

http://abce.readthedocs.io/

An example is here:

Insurance Market

A code example is here:

Jupyter Tutorial

More code examples are here:

https://github.com/AB-CE/examples

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
abce-0.9.5b0.tar.gz (198.4 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page