Welcome to Atlas Documentation
Atlas empowers data-driven organizations to maximize ROI through intelligent business optimizations across diverse models and business scenarios.
Quick Links
Get up and running with Atlas in minutes
Explore the comprehensive feature set
Learn how to integrate your models
Design custom optimization strategies
Key Features
- Model Agnostic
Seamlessly integrate any predictive model - ML, statistical, or API-based
- Multi-Objective Optimization
Balance competing objectives like revenue, awareness, and efficiency
- Enterprise Ready
Production-grade with Docker support, monitoring, and horizontal scaling
- Extensible Architecture
Plugin system for custom models, strategies, and constraints
Latest Updates
All notable changes to Atlas will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
[0.0.1] - 2025-08-01
Alpha release of Atlas.
Added
Core optimization engine with SciPy and Optuna backends
Universal model interface (AbstractModel)
Docker model integration support
Multi-objective optimization strategies
Comprehensive constraint handling
Getting Help
Documentation: You’re here! 📖
GitHub: github.com/redam94/atlas
Issues: Report bugs or request features
License
Atlas is open source software licensed under the APGL license for non-commercial use.