Two-factor authentication for Node.js. One-time passcode generator (HOTP/TOTP) with support for Google Authenticator.
Node-RED node for time-series forecasting and anomaly detection using Exponential Smoothing
Retries a function that returns a promise, leveraging the power of the retry module.
Retrying made simple, easy and async
A Better Auth component for Convex.
Changes the size of a geometry by scaling it up or down.
Retries a function that returns a promise, leveraging the power of the retry module.
Base class for regression modules
Unique machine (desktop) id (no admin privileges required).
Easy as cake e-mail sending from your Node.js applications
Immutable hash maps implemented as hash array papped tries
State management made super simple
[](https://www.npmjs.com/package/@accounts/two-factor) 
A better `npm publish`
One Time Password (HOTP/TOTP) library for Node.js, Deno, Bun and browsers
State machine utilities for the Reach UI library.
Core logic for the checkbox widget implemented as a state machine
Best-effort discovery of the machine's default gateway and local network IP exclusively with UDP sockets.
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
Build functions in standardized containers.
scale an image.
Explode async and generator functions into a state machine.
XState for finite state machines
A finite state machine library
High performance factorization machines for Ruby
Field-aware factorization machines for Ruby
SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
A Rails engine that provides a response mechanism for Let's Encrypt ACME - Simple HTTP - Identifier Validation Challenges on 12 factor apps like those deployed on Heroku as well as the rake task to generate the certificate from your local machine.
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