Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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

https://zenodo.org/badge/4157636.svg abcEconomics build status on Travis CI abcEconomics build status on Appveyor CI Pypi version readthedocs
https://raw.githubusercontent.com/AB-CE/abce/master/docs/cheesegrater.png

In abcEconomics, 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.

abcEconomics 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).

abcEconomics 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 abcEconomics with multi-processes enabled. abcEconomics are typically only observed for 10000 agents and more. Below, it might be slower than pure python implementation. abcEconomics supports pypy3, which is approximately 10 times faster than CPython.

abcEconomics 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 abcEconomics. The agents can use the full set of commands of the Python general purpose language.

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

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

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

Install with:

pip3 install abcEconomics

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

Download files

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

Source Distribution

abcEconomics-0.9.7b1.tar.gz (509.9 kB view details)

Uploaded Source

File details

Details for the file abcEconomics-0.9.7b1.tar.gz.

File metadata

  • Download URL: abcEconomics-0.9.7b1.tar.gz
  • Upload date:
  • Size: 509.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for abcEconomics-0.9.7b1.tar.gz
Algorithm Hash digest
SHA256 a226f7c9116d116f863c54e465d255d08a2b7f7584c3d0c9c78254aa4a227ca6
MD5 c736b427e70c54ed3117316299f65cc5
BLAKE2b-256 f9665ccd64359b36e7f168346665be3d0f4befca2721ada69882fdea2e0b6589

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page