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 🙏

© 2026 – Pkg Stats / Ryan Hefner

@cognitive-swarm/math

v0.2.0

Published

Mathematical foundations — Bayesian inference, entropy, game theory, Markov chains

Readme

@cognitive-swarm/math

Mathematical foundations -- Bayesian inference, entropy, game theory, Markov chains, and more.

Install

npm install @cognitive-swarm/math

Overview

A pure-math toolkit that powers the swarm's analytical capabilities. Every module is stateless or self-contained, with no dependency on the rest of the swarm runtime -- use them independently or let the orchestrator wire them in automatically.

Modules

Bayesian Inference

import { BeliefNetwork, voteToLikelihoodRatio } from '@cognitive-swarm/math'
const net = new BeliefNetwork(prior)
net.update(evidence)

Information Theory

import { EntropyTracker, shannonEntropy, klDivergence, jsDivergence } from '@cognitive-swarm/math'

Game Theory

import { AgreeChallenge } from '@cognitive-swarm/math'
// Models agree/challenge dynamics between agents with configurable payoffs

Markov Chains

import { MarkovChain } from '@cognitive-swarm/math'
const chain = new MarkovChain(transitionMatrix)
chain.predictConvergence()

Mutual Information

import { RedundancyDetector } from '@cognitive-swarm/math'
// Detects redundant agents by measuring pairwise mutual information

Particle Swarm Optimization

import { ParticleSwarm } from '@cognitive-swarm/math'

Topological Data Analysis

import { TopologyAnalyzer } from '@cognitive-swarm/math'
// Clustering, gap detection, persistence pairs

Opinion Dynamics (Hegselmann-Krause)

import { OpinionDynamics } from '@cognitive-swarm/math'
// Models opinion convergence and polarization

Replicator Dynamics

import { ReplicatorDynamics } from '@cognitive-swarm/math'
// Evolutionary strategy balancing across agents

Influence Graph

import { InfluenceGraph } from '@cognitive-swarm/math'
// Spectral analysis of agent influence networks

Optimal Stopping (CUSUM + Secretary Problem)

import { OptimalStopping } from '@cognitive-swarm/math'
// Decides when the swarm should stop iterating

Shapley Values

import { ShapleyValuator } from '@cognitive-swarm/math'
// Fair attribution of each agent's marginal contribution

License

Apache-2.0

Links