wi2trier/cbrkit
Customizable Case-Based Reasoning (CBR) toolkit for Python with a built-in API and CLI.
This toolkit helps you find the best past solutions for new problems by comparing them to historical data. You provide your current problem and a collection of previous cases (like customer complaints or medical records), and it returns similar past cases along with their solutions. It's designed for data scientists, analysts, or domain experts who need to leverage historical knowledge for decision-making or problem-solving without starting from scratch.
Used by 2 other packages. Available on PyPI.
Use this if you need to build a system that recommends solutions or makes decisions by finding and adapting similar past examples from a rich dataset.
Not ideal if you're looking for a simple, out-of-the-box recommendation engine that doesn't require customization of similarity metrics or adaptation rules.
Stars
22
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Dependencies
9
Reverse dependents
2
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