Evidently AI
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It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
ML5.js - Friendly machine learning for the web
Scale Nucleus - The mission control for your ML data
ML Showcase - A curated collection of machine learning projects
WhatToLabel - Improve your machine learning models by curating your data
Lobe - Visual tool for building custom deep learning models
Aquarium - Improve ML models by improving datasets they’re trained on
