Simple state and config-management with patching and syncing
ECMAScript (ESTree) AST walker
A simple state model with transition control
Finite State Machines and Statecharts for the Modern Web.
Lightweight Babel AST traversal
Welcome to the README of Gurx, an typescript-native reactive state management library for complex web applications and components that do not have the symmetry of the store object and the component tree.
Manage state with style in every framework
Jotai store factory for a best-in-class developer experience.
Zustand store factory for a best-in-class developer experience.
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Tiny, simple, and robust technique for defining and acting with local states
Simple, transparent parser combinators toolkit that supports any tokens
A trailing node plugin for the prosemirror editor.
deep proxy object, so it's only updateable through an update method
State management made super simple
Yjs encoding protocols
An observable, extensible state object with derived watchable properties.
This is an internal utility, not intended for public usage.
A very simple and stupid parser, based on a statemachine and regular expressions.
🧙 Valtio makes proxy-state simple for React and Vanilla
Zero dependency React transition state machine.
An object-oriented command-line parser for TypeScript
A blazing fast deep object copier
A library for querying and managing network state in Redux applications
Actvity Modelling with simple state machine
Simpler than a full state machine :)
Easy way to define states on your classes
a simple mongomapper plugin to add a full featured state machine to your models
A simple and lightweight domain specific language (DSL) for modeling finite state machines (FSM).
Sometimes we have to write some Rails code in the migrations and it's hard to keep them in working state because models wich are used there changes too often. there some techniques which help to avoid these pitfalls. For example, define model classes in the migrations or write raw SQL. But they don't help in 100% cases anyway. This gem promises to solve the problem in a simple way.
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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