#Drift-detection
Showing 17 of 17 repositories tagged #drift-detection, ranked by stars
Monitor the stability of a Pandas or Spark dataframe ⚙︎
A tool to detect drifts in terraform IaC
Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.
User documentation for KServe.
Identify kubernetes resources which are not managed by GitOps
A toolkit for evaluating and monitoring AI models in clinical settings
A fast, comprehensive tool for mapping and inventorying AWS resources across 150+ services and all regions.
Helm plugin that identifies the configuration that has drifted from the Helm chart
DRY Terraform with Go Templates
AI model health monitor for LLM apps – runtime checks for drift, hallucination risk, latency, and JSON/format quality on any OpenAI, Anthropic, or local client.
Continuous infrastructure drift detection with historical tracking and notifications.
Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
Ship agentic. Stay coherent. Self-checking code integrity for AI coding agents, via MCP.
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
Automated Terraform cloud and enterprise drift detection
Detect drift. Defend cloud.