Evidently AI
ML Showcase
Censius.ai
ML5.js
Lobe
Machine Learning Playground
iko.ai
Vast.ai
Denarri
Capitan
Mona
Deponi
Cluise
Mezi
BlackFriday.AI
Whisk
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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
ML Showcase - A curated collection of machine learning projects
Capitan - AI powered shopping list: Never forget anything at the store
Censius.ai - Building the future of MLOps
Mona - Personalized shopping app that goes on shopping missions
ML5.js - Friendly machine learning for the web
Deponi - Always know what you have at home.
