Popppy Files

Population Propogation in Python. Simulate births, marriages, deaths

Brought to you by: tonse2003

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
popppy2.2.html	2025-03-24	41.5 kB	0
Popppy_Windows_2.2.2.zip	2020-08-12	81.0 MB	0
Popppy_2.2.2.tar	2020-08-12	102.4 kB	1
Totals: 3 Items		81.2 MB	1

You Might Also Like

Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.

Start Free

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Recommended Projects

EmisView
EmisView is open source visualization software that will improve the quality assurance of emissions data that is input to air quality models. The software will be designed to support emissions modeling activities of air quality regulatory agencies.
LDhat
LDhat is a package written in the C language for the analysis of recombination rates from population genetic data. This package has migrated to github: https://github.com/auton1/LDhat
GrowthRates
The Bellingham Research Institute (BRI) develops and distributes software that is free of charge to academic and other non-profit organizations. GrowthRates is our software tool that simplifies the analysis of microplate reader output from microbial growth experiments without having to...
General Hidden Markov Model Library
The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
Mendel’s Accountant
Mendel’s Accountant is a biologically realistic, forward-time, parallel, numerical simulation program which models genetic change within a population, as affected by mutation and selection.

Popppy Files

Population Propogation in Python. Simulate births, marriages, deaths

Get an email when there's a new version of Popppy