Drift Detection
Showing 15 of 15 projects
An open-source IaC orchestration tool that runs Terraform/OpenTofu directly in your existing CI pipeline.
An open-source Infrastructure as Code orchestration and code generation engine that scales Terraform, OpenTofu, Terragrunt, and Kubernetes.
A CLI tool that scans cloud infrastructure to detect, track, and alert on drift from Terraform IaC definitions.
A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
A Flux controller for GitOps automation of OpenTofu and Terraform resources in Kubernetes.
A suite of GitHub Actions for automating Terraform and OpenTofu workflows, including plan, apply, validate, and drift detection.
A Kubernetes operator that automates Terraform workflows, providing continuous drift detection, PR integration, and a web UI for state changes.
An open-source Python library for detecting concept and data drift in machine learning systems.
A containerized tool that codifies unmanaged cloud resources as Terraform, detects drift, estimates costs, and scans for security issues via pull requests.
A Python library for monitoring model and data drift over time, generating insightful HTML reports for AI governance.
A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.
A Rails web application that receives Terraform drift reports via API to provide visibility and historical tracking of infrastructure changes.
A GitHub Action that runs Terraform plan, validates infrastructure changes, and posts a summary as a PR comment.
A language-agnostic linter that enforces formatting, validation, and synchronization between code, documentation, and configuration.
Safety-first PostgreSQL migration engine for Node.js with advisory locks, drift detection, and built-in lint rules.
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