Access a comprehensive suite of modeling tools for linear, mixed-integer, nonlinear, and quadratic optimization. Whether you’re building academic models, prototypes, or enterprise-grade applications, AMPL’s solver-agnostic platform enables scalable, high-performance solutions across every industry and problem type.
Models on Google Colab
Explore ready-to-run transportation optimization models on Colab to accelerate learning and prototyping.
Streamlit Apps
This app models a realistic trainee scheduling problem with classroom limits, language and seniority constraints, and ranked preferences—using PBS-style secondary objectives for efficient handling of seniority rules.
MP Modeling Guide
Learn how to use the AMPL MP library to create flexible, solver-agnostic optimization models that work seamlessly with AMPL solvers.
Python & AMPL for Modern Optimization – amplpy
Integrate AMPL seamlessly with Python using amplpy for flexible, high-performance modeling.
Consulting Plans – Let’s Build Together
Partner with our team to design and deliver tailored optimization solutions for your challenges.
Technical Support Plans
Get expert help when you need it with support plans designed to keep your models running smoothly.