pop.py download | SourceForge.net

Pop.py is a simulator of populations. Originally concieved to track the spread of words across language groups, pop.py can simulate any type of population, from schooling fish to n-dimensional celluar automata.

Features

polymorphic data container (MemUnit)
simple design
easy extensibility
fast integer indexing for data
separate param data type

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow pop.py

pop.py Web Site

Other Useful Business Software

Go from Code to Production URL in Seconds Icon

Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.

Start Free

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of pop.py!

Additional Project Details

Languages

English

User Interface

Console/Terminal, Tk, Web-based

Programming Language

Registered

2010-08-04

Report inappropriate content

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Start Free

Recommended Projects

Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
jns - Java Network Simulator
JNS is a Java version of the ns-2 network simulator originally from Berkeley. It allows developers of routing and other network protocols to simulate their protocols under various conditions.
CART
Reversible cellular automata
Vsa-EA-mql4
Trading automata based on Volume-Spread Analysis.
SimulaTE
SimulaTE allows to simulate arbitrary complex landscapes of transposable elements (TEs). Additionally reads may be simulated using the genomes of all indivdiuals in the population as template. Reads may be simulated using different sequencing technologies (PacBio, Illumina paired-ends) and strategies (sequencing individuals and pooled populations). SimulaTE will greatly aid in evaluating the suitability of different approaches for estimating TE abundance within populations and to test whether given genomic resources, such as a reference genome or a TE database (a fasta file containing consensus sequences of TEs), are suitable for TE identification. Manual https://sourceforge.net/p/simulates/wiki/Home/#manual Walkthrough https://sourceforge.net/p/simulates/wiki/Home/#walkthrough Validation https://sourceforge.net/p/simulates/wiki/Home/#validation