a smart rule library for handling decision trees.

CART decision tree algorithm

Binary Search Trees

A lightweight, powerful and flexible rule evaluation engine designed for simple or complex logical operations. Perfect for projects requiring customizable validation, dynamic conditions, or decision trees based on json. inspired by MongoDB filters.

create webpages to work through detree decision trees

File tree UI built on `@headless-tree/core`, shipped as:

render detree decision trees as Graphviz directed graphs

Node bindings for CatBoost library to apply models. CatBoost is a machine learning method based on gradient boosting over decision trees.

Delightful JavaScript Testing.

Broccoli plugin to merge multiple trees into one

Delightful JavaScript Testing.

Utilities for watching file trees.

hast utility to create trees

Workspace context loader for AGENTS.md/CLAUDE.md instruction files

Incrementally merge directories.

Highlighting system for Lezer parse trees

unist utility to create a new trees with a nice syntax

Better logic flow. Create and visualize complex decision trees with ease.

File system snapshot - serialize and deserialize file system trees to binary or JSON

A React component for visualizing decision trees and directed acyclic graphs with multiple layout algorithms, interactive controls, and smooth animations.