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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Operations researchers, data scientists, and professionals in need of a tool to model and solve complex mathematical programming problems

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.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$3,000 per year
Free Version
Free Trial

Pricing

$90/month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AMPL
Founded: 2002
United States
ampl.com/products/ampl/

Company Information

SSPLAX
Founded: 2026
Estonia
ssplax.com

Alternatives

Solver SDK

Solver SDK

Frontline Systems

Alternatives

RASON

RASON

Frontline Solvers
RASON

RASON

Frontline Solvers
Analytic Solver

Analytic Solver

Frontline Systems

Categories

Categories

Decision Support Features

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Integrations

Artelys Knitro
Python

Integrations

Artelys Knitro
Python
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