Ml Drift Detection MLOps Tools
There are 20 ml drift detection tools tracked. 2 score above 50 (established tier). The highest-rated is MAIF/eurybia at 52/100 with 216 stars.
Get all 20 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=mlops&subcategory=ml-drift-detection&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
MAIF/eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with... |
|
Established |
| 2 |
WeBankFinTech/Prophecis
Prophecis is a one-stop cloud native machine learning platform. |
|
Established |
| 3 |
fabriziosalmi/proxmox-lxc-autoscale-ml
Automatically scale the LXC containers resources on Proxmox hosts with AI |
|
Emerging |
| 4 |
aws-samples/amazon-sagemaker-drift-detection
This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end... |
|
Emerging |
| 5 |
sustainable-computing-io/clever
Container Level Energy-efficient VPA Recommender |
|
Emerging |
| 6 |
kennethleungty/End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and... |
|
Emerging |
| 7 |
GokuMohandas/monitoring-ml
Learn how to monitor ML systems to identify and mitigate sources of drift... |
|
Emerging |
| 8 |
samvardhan03/FinopsAI
AI-powered cloud cost optimization platform. Auto-detects waste, predicts... |
|
Emerging |
| 9 |
AmirhosseinHonardoust/KPI-Trap-Lab
A hands-on lab showing how “improving” a single metric (AUC/accuracy/F1) can... |
|
Experimental |
| 10 |
datarmada/minotor
Open source software for machine learning production monitoring : maintain... |
|
Experimental |
| 11 |
sameema-tariq/content-moderation-mlops
Production-grade content moderation API with automated MLOps pipeline —... |
|
Experimental |
| 12 |
Drempty/AI-Enabled-Cloud-Resource-Optimizer
🤖 Optimize cloud resources with AI-driven VM usage predictions, smart... |
|
Experimental |
| 13 |
SwetabhSuman-Code/scaleguard-x
A production-grade distributed observability platform that autonomously... |
|
Experimental |
| 14 |
MukundaKatta/driftguard
Your ML models are drifting. We'll catch it. |
|
Experimental |
| 15 |
nikhita0114/mlops-fraud-detection
End-to-end MLOps fraud detection system using FastAPI, Docker, Kubernetes,... |
|
Experimental |
| 16 |
jonuar/ML_Necropsy
Automated post-mortem analysis for ML models in production. Detects data... |
|
Experimental |
| 17 |
Shree-2516/ML-MONITORING-SYSTEM
ML Monitoring System – Production-Ready Model Observability Platform A... |
|
Experimental |
| 18 |
Devs7026/self-optimizing-saas
AI-powered, event-driven SaaS analytics platform that ingests real-time data... |
|
Experimental |
| 19 |
Wasisange/neural-ops-dashboard
A full-stack monitoring dashboard for ML models in production, featuring... |
|
Experimental |
| 20 |
saviornt/Network-Chan
Local only NetOps featuring MLOps on the edge and an AIOps central dashboard... |
|
Experimental |