Description
Telos-OS is an open-source Python framework that converts real-world optimization problems into declarative YAML manifests. Define your variables, constraints, and objectives — a MILP solver finds the optimal solution. Actuators automatically execute decisions on Docker, Kubernetes, or your own infrastructure. No advanced optimization expertise is required. 16+ production-ready models covering energy dispatch, traffic optimization, manufacturing, portfolio allocation, and more. MIT license. Install with pip install telos-os and solve.
Strengths
- Simplifies complex optimization via YAML manifests
- Easy integration with Docker
- Kubernetes and other infrastructures
- 16+ ready-to-use models for various industrial use cases
Weaknesses
- Requires basic understanding of optimization problems
- Learning curve for configuring YAML manifests
- Dependency on external MILP solver for certain features
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