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Python API

Integrate with the most versatile general programming language with amplpy.

AMPL MP

Leverage AMPL MP solver interfaces with automatic reformulations.

Data Integration

Bring your data from anywhere - get ready to optimize its potential.

Deployment Options

Deploy into your larger systems with multiple options.

AMPL for Data Science

Empowering Data Scienctists with AMPL:  Optimize, Analyze, and Scale

AMPL provides a robust optimization platform that integrates seamlessly with data science workflows, enabling fast model development, optimization, and deployment in production environments. Whether you’re optimizing large datasets, solving real-world constraints, or fine-tuning models for scale, AMPL empowers data scientists to do more with less effort.

Seamless Integration with Python & Other Ecosystems

AMPL provides full API support for Python, allowing data scientists to incorporate advanced optimization models directly into their Python workflows. Whether you are building data pipelines, processing large datasets, or experimenting with machine learning models, AMPL’s integration with popular libraries like pandas and NumPy ensures a smooth connection between data science and optimization.

Handling Large Datasets & Complex Models

AMPL is designed to integrate effortlessly with your existing infrastructure, ensuring smooth, reliable deployment in production environments. Whether you’re using cloud-based services, on-premise servers, or hybrid models, AMPL fits into your technology stack without disruption. 

Real-World Constraints

AMPL’s commitment to long-term stability, security, and support gives businesses the confidence to deploy mission-critical applications without worry. Our comprehensive support ensures that your deployment remains optimized and fully functional at all times.

Performance at Scale

AMPL’s commitment to long-term stability, security, and support gives businesses the confidence to deploy mission-critical applications without worry. Our comprehensive support ensures that your deployment remains optimized and fully functional at all times.

Tool Highlights

AMPL & Data Science Tools

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Partnerships with Leading Solvers (e.g., Gurobi, CPLEX)

AMPL is tightly integrated with some of the world’s most powerful optimization solvers, including Gurobi, CPLEX, and CBC. These partnerships allow data scientists to leverage cutting-edge optimization algorithms that can handle a wide variety of model types, including linear, mixed-integer, and non-linear programming.

  • Gurobi & CPLEX Integration: These solvers offer unparalleled speed and reliability for both small and large optimization problems. Whether you’re optimizing supply chains, financial portfolios, or scheduling systems, these solvers ensure that your models are solved with precision and efficiency.
  • Flexibility: Depending on your model’s needs, you can switch between solvers to find the optimal balance between performance, accuracy, and resource usage.
  • Open-source Solver Options: AMPL also supports open-source solvers like CBC, providing cost-effective options for prototyping and development.

This versatility empowers data scientists to choose the best solver for their specific use case, ensuring both flexibility and performance.

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Integration with Google Colab & Jupyter Notebooks

Data scientists often rely on interactive environments like Google Colab and Jupyter Notebooks for rapid prototyping and collaborative development. AMPL fully supports these platforms, making it easier for data scientists to incorporate optimization directly into their data analysis workflows.

  • Google Colab: AMPL works seamlessly in Google Colab, allowing users to prototype models in a cloud-based environment without the need for complex local setups. This makes sharing models with team members simple and fast.
  • Jupyter Notebooks: By integrating with Jupyter Notebooks, AMPL allows data scientists to combine code, output, and narrative explanations in a single document. This is ideal for developing models while keeping track of thought processes, results, and refinements.
  • Real-Time Collaboration: Both platforms enable teams to collaborate on optimization models in real-time, streamlining the development process and enabling faster iterations.

By embedding AMPL in these familiar tools, data scientists can optimize their workflows without stepping outside their preferred coding environments.

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Cloud-Based and On-Premise Deployment

AMPL is designed to work wherever your data and models need to be—whether that's in the cloud, on-premise, or across hybrid infrastructures. This flexibility allows data scientists to deploy optimization models at scale, choosing the best environment for their organization’s needs.

  • Cloud-Based Deployment: With full support for cloud infrastructures, AMPL allows data scientists to take advantage of scalable computing resources. Whether you’re running optimization models on AWS, Azure, or Google Cloud, AMPL ensures high performance and flexibility.
  • On-Premise Flexibility: For organizations that require optimization models to be run on internal servers due to data security, regulatory, or performance reasons, AMPL supports seamless on-premise deployments. This ensures that your models can run in secure, private environments without sacrificing speed or reliability.
  • Hybrid Solutions: AMPL also supports hybrid deployment models, enabling businesses to run prototypes and development in the cloud while keeping critical production workloads on-premise.

This deployment versatility ensures that AMPL can adapt to any organizational infrastructure, making it a trusted tool for data scientists across industries.

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Case Studies

Driving Agility and Innovation

AMPL empowers you to not only solve complex optimization challenges but also accelerate innovation, streamline operations, and unlock new business opportunities. Upgrade your existing decision-making processes, expand into new markets with confidence, and optimize every facet of your operations. Our team of optimization experts and certified partners are ready to guide you through seamless integration and ensure you achieve rapid value with AMPL.