Skip to main content

ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.

Project description

ABSESpy: Agent-Based Modeling Framework for Social-Ecological Systems

ABSES_banner

ABSESpy is a novel agent-based modeling (ABM) framework that facilitates socio-ecological systems (SES) research. It serves as an extension package of Mesa, the most popular ABM framework, and further enhances agents' interactions with other components, especially grid-like spaces. With a configuration file for managing parameters and an improved data Input/Output system, ABSESpy's modularity and low-coupling design enable elegant maintenance of large modeling projects. In addition, ABSESpy includes a schedule that aligns models' tick with the calendar time. These innovations position ABSESpy as a valuable tool in fostering more ABMs for real-world SES issues. Its ultimate aim is to become the go-to choice for ABM when working with a human-involved changing world.

Features

ABSESpy API structure
  • 🌍 Modeling social-ecological system with geo-data.
  • 🤖 Managing and manipulating agents with ease of cake.
  • 🕙 Make your model coherent with real-world time.
  • 📁 Handling complex models with a configuration file.
  • 🙋 and more...

Contributors ✨

Shuang Song
Shuang Song

📖
Elías José Mantilla Ibarra
Elías José Mantilla Ibarra

📖
Chentai Jiao
Chentai Jiao

📖

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!

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

abses-0.9.1.tar.gz (5.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

abses-0.9.1-py3-none-any.whl (113.5 kB view details)

Uploaded Python 3

File details

Details for the file abses-0.9.1.tar.gz.

File metadata

  • Download URL: abses-0.9.1.tar.gz
  • Upload date:
  • Size: 5.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.5

File hashes

Hashes for abses-0.9.1.tar.gz
Algorithm Hash digest
SHA256 b2960a4494fbedd6e83f5329e089a75f89c592ce7c90a1f0315d933940770845
MD5 7eb2e5616e959f25046c12ab08433ecb
BLAKE2b-256 5e27b04878e836accca102984309be12f71f02ef9b4a57fac0170d3a2c2cf34e

See more details on using hashes here.

File details

Details for the file abses-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: abses-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 113.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.5

File hashes

Hashes for abses-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7cfb5861fe1509f631391c26fd4af5a2588cecf7c3622d0fb5f6dca99aa4e23b
MD5 ffd84c7418fcf4eb2e26b619ca25864d
BLAKE2b-256 fe5c82cbfef5fe933b615b8fae5bc54b9011b9c9a7fda69f48040a203574ec7d

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