Welcome to AdamOps!
AdamOps is a comprehensive MLOps library designed to streamline end-to-end machine learning workflows. It provides a modular, extensible, and user-friendly interface for everything from data preprocessing to model deployment and monitoring.
Whether you prefer writing code or using a visual interface, AdamOps gives you the tools you need to build, test, and ship models faster.
Key Features
Data Processing: Robust loaders, splitters, validators, and feature engineering.
Model Training & AutoML: Unified interface for Scikit-learn, XGBoost, LightGBM, plus Optuna integration.
Evaluation: Detailed metrics, comparison reports, and explainability natively built-in (SHAP/LIME).
Model Playground: Instantly launch an interactive Streamlit dashboard (adamops.deployment.playground) to test your models and explore data.
Visual Studio: A powerful, browser-based drag-and-drop pipeline builder (adamops.studio).
Deployment & Monitoring: Export to ONNX, build FastAPI/Flask APIs, containerize with Docker, and track drift.
API Reference