/interactive-recordlinkage-tool

A tool to experiment and automatically compare quality of data matching algorithm

Primary LanguagePython

interactive-recordlinkage-tool

Interactive tool to experiment and automatically compare matching quality of different data matching algorithm. This is a proof of concept developed using Python and Streamlit.

This tool is built on top of Python Record Linkage Toolkit.

Run as a docker container

The easiest way to start is to use docker. Download or clone the repository. Build and test your image.

docker build -t interactive-recordlinkage:latest .

Run your image as a docker container.

docker run --publish 8501:8501 --name interative-recordlinkage interactive-recordlinkage:latest

Run on your computer

You need to have Python 3.6 installed on your machine. Download or clone the repository. Install all the dependencies.

$pip install -r requirements.txt

Run the streamlit app

streamlit run interactive_app.py

Demo

demo