Predictive Analytics Python Packages

retentioneering

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

alphapy

AlphaPy: A Machine Learning Pipeline for Speculators

predictive-maintenance-mcp

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

comport-ai

An HR predictive analytics tool that forecasts the likely range of a worker’s future job performance, using ANNs whose custom loss functions enable them to formulate prediction intervals that are as small as possible, while being just large enough to contain a worker’s actual future performance in most cases.

monasca-predictor

Integrating with Monasca to provide OpenStack with predictive analytics.

iflow-mcp-lgdimaggio-predictive-maintenance-mcp

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

socialtextlytics

A new package that analyzes social media post text to extract structured insights about audience engagement patterns, such as identifying common themes in highly liked content or predicting potential

workforcesim

Synaptans WorkforceSim is a free open-source web app for simulating the complex dynamics of a factory workforce – including workers’ daily job performance, personal interactions with their peers and supervisors, and attrition.

topsis-anerudh-102203042

A repository made for assignments and kaggle hacks completed as required in the Predictive Analytics course.

mljar

A simple python wrapper over MLJAR API.

mseep-predictive-maintenance-mcp

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.