ML Drift Detection ML Frameworks

Tools and systems for detecting, monitoring, and responding to data drift and model drift in production ML pipelines. Includes automated retraining, root cause diagnosis, and data validation. Does NOT include general model monitoring, performance metrics tracking, or anomaly detection outside the drift context.

There are 47 ml drift detection frameworks tracked. 1 score above 70 (verified tier). The highest-rated is online-ml/river at 95/100 with 5,746 stars and 118,463 monthly downloads. 1 of the top 10 are actively maintained.

Get all 47 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=ml-drift-detection&limit=20"

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

#	Framework	Score	Tier	Stars	Language
1	online-ml/river 🌊 Online machine learning in Python	95	Verified	5,746	Python
2	NannyML/nannyml nannyml: post-deployment data science in python	59	Established	2,128	Python
3	IFCA-Advanced-Computing/frouros Frouros: an open-source Python library for drift detection in machine...	59	Established	252	Python
4	Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Implementation/Tutorial of using Automated Machine Learning (AutoML) methods...	42	Emerging	628	Jupyter Notebook
5	mitre/menelaus Online and batch-based concept and data drift detection algorithms to...	42	Emerging	68	Python
6	etsi-ai/etsi-watchdog Real-time data drift detection and monitoring for machine learning pipelines.	42	Emerging	31	Python
7	Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation Data stream analytics: Implement online learning methods to address concept...	41	Emerging	219	Jupyter Notebook
8	radicalbit/radicalbit-ai-monitoring A comprehensive solution for monitoring your AI models in production	38	Emerging	82	Python
9	Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation An online learning method used to address concept drift and model drift....	36	Emerging	55	Jupyter Notebook
10	grecosalvatore/drift-lens Drift-Lens: an Unsupervised Drift Detection Framework for Deep Learning...	34	Emerging	16	Jupyter Notebook
11	Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation Data stream analytics: Implement online learning methods to address concept...	33	Emerging	34	Jupyter Notebook
12	deep-diver/Continuous-Adaptation-for-Machine-Learning-System-to-Data-Changes https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html	32	Emerging	30	Jupyter Notebook
13	BBVA/mercury-monitoring mercury-monitoring is a library to monitor data and model drift	31	Emerging	15	Jupyter Notebook
14	jgaud/streamndr Novelty detection for data streams in Python	30	Emerging	13	Python
15	zelros/cinnamon CinnaMon is a Python library which offers a number of tools to detect,...	29	Experimental	77	Python
16	ml-cube/ml3-drift Easy-to-embed Drift Detectors	26	Experimental	46	Python
17	fortyfive-labs/ml-dash Scalable Training Telemetry and Metrics Visualization	24	Experimental	—	Python
18	Tksrivastava/autonomous-metal Autonomous Metal is an autonomous AI workflow designed to mimic a...	23	Experimental	1	Python
19	dm4ml/gate Drift detection module for machine learning pipelines.	23	Experimental	25	Python
20	sameema-tariq/content-moderation-mlops Production-grade content moderation API with automated MLOps pipeline —...	22	Experimental	—	—
21	tchoula/KPI-Trap-Lab Demonstrate how relying on a single metric can mislead model evaluation and...	22	Experimental	—	—
22	Drempty/AI-Enabled-Cloud-Resource-Optimizer 🤖 Optimize cloud resources with AI-driven VM usage predictions, smart...	22	Experimental	—	Python
23	songqiaohu/THU-Concept-Drift-Datasets-v1.0 📖These are the concept drift datasets we made, and we open-source the data...	22	Experimental	39	Python
24	sageerhassan8/perplexity-model-watcher 🔍 Monitor Perplexity's model status in real time with this privacy-friendly...	22	Experimental	—	JavaScript
25	wan-huiyan/ml-feature-evaluator Structured 10-step diagnostic for go/no-go feature evaluation in production...	22	Experimental	—	—
26	wan-huiyan/ml-training-window-assessor Drift-aware training window extension assessment for production ML...	22	Experimental	—	—
27	zfifteen/noether-early-warning Atomic benchmark suite showing drift can act as an early warning before...	22	Experimental	—	Python
28	AmirhosseinHonardoust/The-Twin-Test-High-Stakes-ML A long-form article introducing the Twin Test: a practical standard for...	21	Experimental	19	—
29	Dalageo/ml-gas-sensor-drift Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️	21	Experimental	17	Jupyter Notebook
30	AmirhosseinHonardoust/Machine-Learning-Warning-Systems A long-form article and practical framework for designing machine learning...	21	Experimental	18	—
31	radinhamidi/Hybrid_Forest Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm	20	Experimental	9	Python
32	Raghu3696/Cloud-Scale-IQ Intelligent auto-scaling service using scikit-learn for time-series load...	19	Experimental	—	Python
33	Rishi-source/CloudFlow-NetApp-Hackathon AI-powered cloud storage optimiser that reduces costs by 30-40% through...	17	Experimental	—	Python
34	srdarkseer/CloudPulse Intelligent server resource forecasting and auto-scaling system using ML...	15	Experimental	—	JavaScript
35	JaiEnfer/ml-monitoring-system Production-ready Machine Learning service with monitoring, data drift...	14	Experimental	—	HTML
36	chiefom/drifting-model 🚀 Implement drifting models in PyTorch for one-step generation, learning to...	14	Experimental	—	TypeScript
37	jonuar/ML_Necropsy Automated post-mortem analysis for ML models in production. Detects data...	14	Experimental	—	Python
38	saviornt/Network-Chan Local only NetOps featuring MLOps on the edge and an AIOps central dashboard...	14	Experimental	—	Python
39	Shree-2516/ML-MONITORING-SYSTEM ML Monitoring System – Production-Ready Model Observability Platform A...	14	Experimental	—	Python
40	SwetabhSuman-Code/scaleguard-x A production-grade distributed observability platform that autonomously...	14	Experimental	—	Python
41	MukundaKatta/driftguard Your ML models are drifting. We'll catch it.	14	Experimental	—	Python
42	nikhita0114/mlops-fraud-detection End-to-end MLOps fraud detection system using FastAPI, Docker, Kubernetes,...	14	Experimental	—	Python
43	Aishwaryap015/ml-data-drift-retraining-system End-to-end ML monitoring system for detecting data drift, evaluating...	14	Experimental	—	HTML
44	Wasisange/neural-ops-dashboard A full-stack monitoring dashboard for ML models in production, featuring...	14	Experimental	—	—
45	TAM-DS/FinOps-Dashboard-Multi-Cloud-Cost-Optimization Executive-level FinOps dashboard demonstrating AI/ML infrastructure cost...	13	Experimental	2	—
46	Devs7026/self-optimizing-saas AI-powered, event-driven SaaS analytics platform that ingests real-time data...	12	Experimental	1	JavaScript
47	moses000/mysoftware-nocNetIntel AI-powered NOC assistant for forecasting network outages, analyzing root...	11	Experimental	—	—

Comparisons in this category

river and PWPAE-Concept-Drift-Detection-and-Adaptation (95 vs 41) PWPAE-Concept-Drift-Detection-and-Adaptation and OASW-Concept-Drift-Detection-and-Adaptation (41 vs 36) OASW-Concept-Drift-Detection-and-Adaptation and MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation (36 vs 33)