decision-tables

Power Flows DMN - Powerful decisions and rules engine

PHP library to programmatically create DMN decision tables.

RHDM 7.9.0 demo - loan pre-approval decision service for Quick Loan Bank

Java library to make decisions based on decision tables

Simple and easy to use Java implementation of a decision table

C++ DMN Business Rules Engine - Fast decision table evaluation with FEEL

Provider-agnostic AI SDK for Rust, Go, Python, and C ABI: LLMs, local models, CLIPS rules, Z3 solvers, Bayesian networks, ZEN decision tables, and nxuskit-cli.

Production nxusKit examples for Rust, Go, Python, and CLI/Bash: streaming, structured output, provider routing, local models, CLIPS, solvers, Bayesian networks, and ZEN.

Automatic decision tree generation from decision tables provided. This tool leverages machine learning algorithms to streamline the transformation of structured decision tables into interpretable and efficient decision trees. Designed for applications in fields such as healthcare, finance, and manufacturing.

Drools Decision Tables example with Spring Boot

This system is designed to address the core pain point in AI coding—namely, the bidirectional opacity between intent and outcome.

Create Markdown for decision tables

SpecFirst.xUnit is a .NET source generator to generate xUnit tests from decision tables authored in markdown.

SpecFirst.MarkdownParser is the markdown parser part of the SpecFirst source generator. It is reponsible for converting the decision tables written in markdown text to decision table objects.

Examples from some episodes of the Testing-Tutorials that can be seen on YouTube are made available in this repository.

Create decision tables in Markdown

Codex Plugin marketplace for nxusKit Celerat: skills that help Codex implement nxusKit SDK integrations, examples, and CLI/Bash workflows.

Business-rule OSHC insurance claim decision model using GoRules/JDM decision tables and a Python reference simulator.

It has drool project with config server

A curated list of forward- and backward-chaining rule engines, BRMS platforms, rule DSLs, and language-specific libraries.