Rfm Customer Segmentation MLOps Tools

There are 9 rfm customer segmentation tools tracked. The highest-rated is Morphl-AI/MorphL-Community-Edition at 42/100 with 259 stars.

Get all 9 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=mlops&subcategory=rfm-customer-segmentation&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Tool	Score	Tier	Stars	Language
1	Morphl-AI/MorphL-Community-Edition MorphL Community Edition uses big data and machine learning to predict user...	42	Emerging	259	Python
2	galafis/Customer-Behavior-Analytics Analise de comportamento de clientes com segmentacao RFM (KMeans), previsao...	29	Experimental	1	Python
3	Sahil05-08/Customer_Life_Value_Prediction_Model Customer Lifetime Value Prediction is a Machine Learning–based Flask web...	17	Experimental	1	Jupyter Notebook
4	PravallikaBonula/Olist-Customer-Analytics-and-Churn-Prediction SQL + Python project analyzing 100K+ Olist e-commerce transactions to...	17	Experimental	—	Jupyter Notebook
5	Rizkimaulan4/Customer-Happines-Predict 📦 Customer Happiness Prediction Dashboard built with Streamlit & Machine...	17	Experimental	1	Python
6	kavigamage-da/ecommerce-data-analytics Cut customer churn risk by identifying $2.1M at-risk CLV across 10,000...	14	Experimental	—	HTML
7	YASHU252/customer-revenue-intelligence End-to-end customer analytics system — RFM segmentation, XGBoost churn...	14	Experimental	—	Jupyter Notebook
8	shivareddy2002/Customer-Segmentation End-to-end Machine Learning project for Amazon Customer Segmentation using...	13	Experimental	—	HTML
9	srinibas-masanta/Customer-Segmentation-using-RFM-Analysis-and-Clustering End-to-end customer segmentation using RFM analysis and K-Means clustering...	13	Experimental	—	Jupyter Notebook