🚀 Easy Setup & Deploy
Get anomaly detection running in minutes with Docker, GitHub Codespaces, Dagster Cloud, or local Python. No complex infrastructure required - just bring your metrics and we'll handle the ML.
🌟 Flexible Data Sources
Connect to BigQuery, Snowflake, ClickHouse, DuckDB, SQLite, MotherDuck, Turso, and more. Define metrics with SQL or custom Python functions. Works with your existing data stack.
🧠 Intelligent Detection
Powered by PyOD machine learning algorithms with configurable thresholds. Plus optional AI-powered anomaly detection using LLM agents for more nuanced analysis and explanations.
📧 Smart Alerts
Get notified via Email and Slack with beautiful ASCII art plots and detailed context. Includes snoozing, feedback system, and daily summaries to reduce alert fatigue.
📊 Beautiful Dashboard
Monitor your metrics with a modern FastHTML + MonsterUI dashboard. View trends, anomaly scores, feedback ratings, and manage alerts all in one place.
⚙️ Highly Configurable
Customize everything from ML algorithms to alert routing with flexible YAML configs. Override settings per metric batch and add custom preprocessing functions.
Supported Data Sources & Platforms
🗄️ Data Sources
☁️ Model Storage
Deploy Anywhere
Choose the deployment option that works best for you
🐳 Docker
Self-hosted with Docker Compose
☁️ Dagster Cloud
Serverless managed deployment
🚀 Codespaces
GitHub cloud development
🔧 Replit
Browser-based deployment
🐍 Python Env
Local virtual environment
Ready to detect anomalies in your metrics?
Join the growing community of developers using Anomstack for reliable, open-source anomaly detection.
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