agentpy | AgentPy is an open-source framework for the development and analysis of agent-based models in Python

by JoelForamitti Python Version: 0.1.5 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | agentpy Summary

agentpy is a Python library typically used in Simulation, Deep Learning applications. agentpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install agentpy' or download it from GitHub, PyPI.

AgentPy is an open-source library for the development and analysis of agent-based models in Python. The framework integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment, and is optimized for interactive computing with IPython and Jupyter. Tutorials and examples: Comparison with other frameworks:

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agentpy has a low active ecosystem.

It has 249 star(s) with 26 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 18 have been closed. On average issues are closed in 23 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of agentpy is 0.1.5

Quality

agentpy has 0 bugs and 0 code smells.

Security

agentpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

agentpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

agentpy is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

agentpy releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 2924 lines of code, 312 functions and 34 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed agentpy and discovered the below as its top functions. This is intended to give you an instant insight into agentpy implemented functionality, and help decide if they suit your requirements.

Run the simulation
Add single output to combined_output
Combine DataFrames
Append an item to the list
Animate the model
Create a function to return the output function
Add a value to the report
Setup the simulation
Add agents to the grid
Add an agent to the grid
Return the neighbors of the given agent
Run Saltelli sampling
Plot a grid
Recursive method to record time series
Add agents to the graph
Get the neighbors of an agent
Load AP output
The KDTree object for the agent
Return a random number of elements
Return n random items
Move agent to node
Sort the AgentList by a given variable key
Move the given agent to the given agent
Update the agent list
Remove agents from the grid
Remove agents from the model

Get all kandi verified functions for this library.

agentpy Key Features

No Key Features are available at this moment for agentpy.

agentpy Examples and Code Snippets

No Code Snippets are available at this moment for agentpy.

Community Discussions

Trending Discussions on agentpy

syntax error when trying to install agentpy

QUESTION

syntax error when trying to install agentpy

Asked 2022-Mar-13 at 21:55

Goal: install agentpy to a Google Colab notebook.

Current code:

...

ANSWER

Answered 2022-Mar-13 at 21:55

You can't use pip in a python file. It is meant to be used on a command line. Since you are on Google Colab this should work:

Source https://stackoverflow.com/questions/71461106

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install agentpy

You can install using 'pip install agentpy' or download it from GitHub, PyPI.
You can use agentpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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