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 🙏

© 2025 – Pkg Stats / Ryan Hefner

@foerderfunke/matching-engine

v1.5.8

Published

Checks eligibilities by validating a user profile against requirement profiles

Readme

Matching Engine

This is the heart of the FörderFunke Web App. It takes the requirement profiles (machine readable eligibility rules for benefits, SHACL format) from the Knowledge Base and compares them to the user profile (RDF format). The comparison is done by running a SHACL validation for each requirement profile against the user profile. Beforehand, the user profile gets enriched via SPARQL queries that add knowledge that can be inferred without having to ask the user; like their age based on the birthday or the federal state based on their city.

Afterwards, each requirement profile falls into one of three categories: eligible, ineligible or missing data to make that assessment. The missing data fields are aggregated and the "most missed one" will be presented to the user as question next. In that way we ensure the most effective path from an empty profile to having all the answers for any particular user. The questionnaire ends, when no more requirement profile flags missing data points.


:tv: The first part of video 2 and the middle part of video 3 in this demo series are showing parts of the matching engine logic.

  • Input: user profile, requirement profiles, datafield definitions, materialization rules
  • Output: a report about eligibilities (yes, no, missing data), prioritized missing data fields and constraint violations

Local development

npm install
npm test
# example for running a specific test:
npm test -- --grep "full matching"

# after bumping the version
npm publish

Usage

npm install --save @foerderfunke/matching-engine

import { ValidationResult } from "@foerderfunke/matching-engine"

Assumptions about requirement profiles this engine makes

  • Every requirement profile must start with the triple: <rpUri> a ff:RequirementProfile
  • Mandatory: <rpUri> ff:hasMainShape points to one main shape
  • Optional: <rpUri> ff:hasFlowShape points to decision tree logic
  • Multiple sh:NodeShapes are allowed (e.g. for ff:Citizen and ff:Child), but not for the same sh:targetClass. The only exception is for the shapes that ff:hasMainShape and ff:hasFlowShape point to
  • If a sh:node or sh:qualifiedValueShape are pointing to another sh:NodeShape, that shape must have a sh:targetClass
  • Every sh:PropertyShape must have sh:minCount 1 (higher values are allowed), otherwise we can't recognize if that datapoint is missing