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About
AMPL is a powerful and intuitive modeling language designed to represent and solve complex optimization problems. It enables users to formulate mathematical models in a syntax that closely mirrors algebraic notation, facilitating a clear and concise representation of variables, objectives, and constraints. AMPL supports a wide range of problem types, including linear programming, nonlinear programming, mixed-integer programming, and more. One of its key strengths is the ability to separate models and data, allowing for flexibility and scalability in handling large-scale problems. The platform offers seamless integration with numerous solvers, both commercial and open-source, providing users with the flexibility to choose the most appropriate solver for their specific needs. AMPL is available across multiple operating systems, including Windows, macOS, and Linux, and offers various licensing options.
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About
SSPLAX is a no-code visual platform for modeling and solving constrained operational decisions. Users build models as networks, with stages, resources and outcomes as nodes and routes, processes and decisions as edges. They then define an objective and constraints such as capacity, budget, labor, materials and policy. SSPLAX compiles the model into a linear or mixed-integer optimization problem, solves it, and explains the result: which constraints limit the outcome, why a target is infeasible, which small change would improve it most, and whether added budget or capacity creates value or merely shifts the bottleneck. It also supports assignment, blending and formulation, capacity allocation, and project-portfolio selection. Users can compare scenarios and test how recommendations change under different assumptions. Worked examples cover manufacturing, life sciences, AI infrastructure and decarbonization. SSPLAX is domain-agnostic, browser-based and requires no setup.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Operations researchers, data scientists, and professionals in need of a tool to model and solve complex mathematical programming problems
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Audience
For operations leaders, industrial and process engineers, supply-chain and production planners, analysts, consultants, and technical decision-makers who must allocate scarce resources, test scenarios, diagnose bottlenecks, or choose the best feasible plan. Suitable for manufacturing, life sciences, logistics, energy, infrastructure, sustainability, technology, and other organizations facing capacity, budget, labor, material, policy, assignment, blending, or portfolio constraints.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$3,000 per year
Free Version
Supported
Free Trial
Not Supported
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Pricing
$10,000/year
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAMPL
Founded: 2002
United States
ampl.com/products/ampl/
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Company InformationSSPLAX
Founded: 2026
Estonia
ssplax.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Decision Support Features
Application Development
Not Supported
Budgeting & Forecasting
Supported
Data Analysis
Supported
Decision Tree Analysis
Not Supported
Monte Carlo Simulation
Not Supported
Performance Metrics
Supported
Rules-Based Workflow
Not Supported
Sensitivity Analysis
Supported
Thematic Mapping
Not Supported
Version Control
Not Supported
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Integrations
Artelys Knitro
Not Supported
Python
Not Supported
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