AMPL for Modelers - Express, Solve, Optimize

Write clear, powerful models that reflect real-world constraints and solve them efficiently.

AMPL is designed to make mathematical optimization modeling intuitive and powerful. With its natural algebraic syntax, seamless separation of model and data, and solver flexibility, AMPL allows modelers to focus on defining and refining their optimization problems without the distractions of low-level programming. Whether you’re tackling linear, nonlinear, or integer optimization, AMPL gives you the tools to write models naturally, test and iterate efficiently, and solve with the best solvers available.

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Data

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Solvers

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APIs

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Deploy

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Editors

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Books

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Models

Modelers

+40 industries →

AMPL's modeling system is used extensively in finance, energy, supply chain optimization and more.

+12 integrations →

Extensive integrations allow for a complete, one-stop-shop optimization platform.

Join 1000's of modelers

Thousands of modelers choose AMPL for complex projects where tasks are critical and must be modeled to reflect the real-world problem while maintaining reliability.

How AMPL Helps Modelers

A Modeling Language Built for Optimization

Unlike general-purpose programming languages, AMPL is designed specifically for optimization modeling—providing an environment where you can write constraints, objectives, and variables in a way that mirrors standard mathematical notation.

AMPL is trusted across industries like supply chain, energy, finance, and logistics, where modelers need precision, flexibility, and speed.

Seamless Data Handling

A well-structured model is only as powerful as the data behind it. AMPL allows modelers to effortlessly integrate real-world data into their optimization problems.

By decoupling the model from data sources, AMPL allows for better organization, easier testing, and seamless real-world implementation.

Solver Independence & Flexibility

AMPL is solver-agnostic, meaning you can switch between leading commercial and open-source solvers without needing to rewrite your model.

This level of flexibility allows modelers to focus on problem-solving rather than solver-specific code.

Faster Iteration & Debugging

Model development is an iterative process. AMPL provides built-in tools to help modelers test, debug, and refine their models more efficiently.

This means less time spent on debugging and more time focusing on finding optimal solutions.

Work Locally or in the Cloud

AMPL gives you the flexibility to model and solve your problems wherever you work best.

With both local and cloud options, AMPL allows modelers to scale their solutions based on their needs.

Resources and support

AMPL provides extensive resources to help you get started, refine your skills, and solve real-world optimization problems. Explore models, documentation, books, and community support to accelerate your workflow.

Prebuilt Optimization Models

Jumpstart your projects with ready-to-use model examples covering linear, integer, nonlinear, and more. These models demonstrate best practices and solver compatibility.

Comprehensive Documentation

Find everything you need, from beginner-friendly tutorials to advanced optimization techniques. Our documentation covers syntax, solvers, APIs, and integrations in detail.

Books & Learning Materials

AMPL is widely used in academia and industry, with numerous books available to help you master optimization modeling. Learn from leading experts and real-world applications.

Community & Technical Support

Need help? Connect with our active community of modelers and optimization experts. Ask questions, share insights, and get professional support when needed.

Ready to get started?

Access a complete optimization application building platform with simple pricing, or contact us to design a custom package specifically for your business needs.

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Customized Demos and Tutorials

Get in touch to book a time for us to talk about your specific needs, and demo real solutions.

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See our customers

From startups to Fortune 500s, explore how hundreds of businesses use AMPL to optimize complex problems.