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 39 ml drift detection frameworks tracked. 1 score above 70 (verified tier). The highest-rated is online-ml/river at 82/100 with 5,746 stars. 1 of the top 10 are actively maintained.

Get all 39 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	online-ml/river 🌊 Online machine learning in Python	82	Verified	5,746	Python
2	IFCA-Advanced-Computing/frouros Frouros: an open-source Python library for drift detection in machine...	58	Established	252	Python
3	NannyML/nannyml nannyml: post-deployment data science in python	56	Established	2,128	Python
4	Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Implementation/Tutorial of using Automated Machine Learning (AutoML) methods...	49	Emerging	628	Jupyter Notebook
5	etsi-ai/etsi-watchdog Real-time data drift detection and monitoring for machine learning pipelines.	48	Emerging	31	Python
6	Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation Data stream analytics: Implement online learning methods to address concept...	48	Emerging	219	Jupyter Notebook
7	radicalbit/radicalbit-ai-monitoring A comprehensive solution for monitoring your AI models in production	45	Emerging	82	Python
8	mitre/menelaus Online and batch-based concept and data drift detection algorithms to...	44	Emerging	68	Python
9	Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation An online learning method used to address concept drift and model drift....	43	Emerging	55	Jupyter Notebook
10	grecosalvatore/drift-lens Drift-Lens: an Unsupervised Drift Detection Framework for Deep Learning...	41	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...	40	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	39	Emerging	30	Jupyter Notebook
13	jgaud/streamndr Novelty detection for data streams in Python	37	Emerging	13	Python
14	zelros/cinnamon CinnaMon is a Python library which offers a number of tools to detect,...	36	Emerging	77	Python
15	BBVA/mercury-monitoring mercury-monitoring is a library to monitor data and model drift	32	Emerging	15	Jupyter Notebook
16	ml-cube/ml3-drift Easy-to-embed Drift Detectors	32	Emerging	46	Python
17	dm4ml/gate Drift detection module for machine learning pipelines.	30	Emerging	25	Python
18	songqiaohu/THU-Concept-Drift-Datasets-v1.0 📖These are the concept drift datasets we made, and we open-source the data...	29	Experimental	39	Python
19	Dalageo/ml-gas-sensor-drift Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️	28	Experimental	17	Jupyter Notebook
20	radinhamidi/Hybrid_Forest Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm	27	Experimental	9	Python
21	AmirhosseinHonardoust/The-Twin-Test-High-Stakes-ML A long-form article introducing the Twin Test: a practical standard for...	25	Experimental	19	—
22	AmirhosseinHonardoust/Machine-Learning-Warning-Systems A long-form article and practical framework for designing machine learning...	25	Experimental	18	—
23	fortyfive-labs/ml-dash Scalable Training Telemetry and Metrics Visualization	24	Experimental	—	Python
24	wan-huiyan/ml-feature-evaluator Structured 10-step diagnostic for go/no-go feature evaluation in production...	22	Experimental	—	—
25	wan-huiyan/ml-training-window-assessor Drift-aware training window extension assessment for production ML...	22	Experimental	—	—
26	zfifteen/noether-early-warning Atomic benchmark suite showing drift can act as an early warning before...	22	Experimental	—	Python
27	tchoula/KPI-Trap-Lab Demonstrate how relying on a single metric can mislead model evaluation and...	22	Experimental	—	—
28	Raghu3696/Cloud-Scale-IQ Intelligent auto-scaling service using scikit-learn for time-series load...	21	Experimental	—	Python
29	sageerhassan8/perplexity-model-watcher 🔍 Monitor Perplexity's model status in real time with this privacy-friendly...	21	Experimental	—	JavaScript
30	Rishi-source/CloudFlow-NetApp-Hackathon AI-powered cloud storage optimiser that reduces costs by 30-40% through...	19	Experimental	—	Python
31	srdarkseer/CloudPulse Intelligent server resource forecasting and auto-scaling system using ML...	17	Experimental	—	JavaScript
32	TAM-DS/FinOps-Dashboard-Multi-Cloud-Cost-Optimization Executive-level FinOps dashboard demonstrating AI/ML infrastructure cost...	15	Experimental	2	—
33	Aishwaryap015/ml-data-drift-retraining-system End-to-end ML monitoring system for detecting data drift, evaluating...	14	Experimental	—	HTML
34	JaiEnfer/ml-monitoring-system Production-ready Machine Learning service with monitoring, data drift...	14	Experimental	—	HTML
35	chiefom/drifting-model 🚀 Implement drifting models in PyTorch for one-step generation, learning to...	13	Experimental	—	TypeScript
36	moses000/mysoftware-nocNetIntel AI-powered NOC assistant for forecasting network outages, analyzing root...	13	Experimental	—	—
37	grahman20/ADF Adaptive Decision Forest(ADF) is an incremental machine learning framework...	12	Experimental	5	Java
38	m-martin-j/CDA-systems-ref-arch An abstract concept drift adaptation system reference architecture fit for...	11	Experimental	—	—
39	dslab-uniud/ppSTL-IJCAI2024 Repository containing Appendix and Code for the paper "Learning what to...	10	Experimental	2	Python

Comparisons in this category

river and PWPAE-Concept-Drift-Detection-and-Adaptation (82 vs 48) PWPAE-Concept-Drift-Detection-and-Adaptation and OASW-Concept-Drift-Detection-and-Adaptation (48 vs 43) OASW-Concept-Drift-Detection-and-Adaptation and MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation (43 vs 40)