npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

petri

v0.0.5

Published

petri

Downloads

6

Readme

#node-substrate

experimental framework for evolving artificial lifeforms

Like the Autoverse, only simpler. And in JavaScript.

Description

Work in progress

Design goals

node-substrate is a an experimental framework for building evolutionary multi-agent systems. Focus is made on how could multiple "species" compete or collaborate for survival.

Species can be heterogeneous (eg. different reproduction strategies, algorithms or behaviors) and may share the same limited resources (eg. computing power). Programs that have energy are running, when energy is exhausted the program is terminated. Thus as a consequence, species or societies that developed good enough energy-gathering strategies will survive, others will strive or disappear.

Energy is the unit used for doing everything: forking, sending messages, executing actions.. the logical consequence is that errors cost energy too.

Energy gathering may be done in a variety of ways: first by searching, extracting, stealing or buying it, then sharing, donating or selling it. This way, many different kind of organized systems can be grown: specialized, cooperative, parasitic, symbiotic, society-like..

Prey-predator models can also emerge with this approach: strategies where agents gave energy then die as a response to an 'attack' (a message). "Fair" players organization will resist, will cheaters (algorithms that do not respect the death rule) will collapse.

Comment

This is an on-going project and not ready for wide spreading outside my own use. The prototype is written for Node.js plateform for various reasons (the goal is to allow open-ended evolution: using a dynamical language like JS allow artificial lifeforms to do crazy things like reprogramming, evolving themselves at runtime, talking to native libraries or colonizing web browsers. I tried to do these sort of things in other languages but it was impractical)

Installation

not yet

Documentation

To be continued

Changelog

0.0.0

  • initial, experimental version

Interesting readings

  • https://en.wikipedia.org/wiki/Genetic_programming for the historical background
  • BUT also https://en.wikipedia.org/wiki/Genetic_engineering which I find closer to this project's goals
  • The part on the Autoverse: https://en.wikipedia.org/wiki/Permutation_City
  • Q6 at: http://gregegan.customer.netspace.net.au/PERMUTATION/FAQ/FAQ.html