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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

Balanced Allocate distributes people, items, or resources into groups — optimally and automatically. Upload a spreadsheet of students, players, guests, or staff. Define groups. Set constraints: balance attributes like gender, skill, or age; enforce budgets and quotas; pin specific items; separate conflicts; pair items that must stay together. The solver finds the best allocation in seconds, even with hundreds of items and dozens of rules. Use cases: class placement (balance by ability, gender, IEP with separations), sports team formation (fair teams by skill, age, and family groupings), event seating (tables with dietary and relationship constraints), and workplace allocation (staff across shifts by skill and availability). CSV/Excel upload, multiple constraint types, real-time diagnostics, conflict detection, PDF export, saved configurations. 14-day free trial, no credit card required. Powered by Google OR-Tools CP-SAT engine. No coding required — point, click, solve.

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

School principals and administrators creating class lists. Youth sports league coordinators forming balanced teams. Wedding and event planners assigning guests to tables. HR managers and team leads distributing staff across projects, shifts, or locations. Operations managers allocating inventory or resources across sites. Anyone currently using spreadsheets to manually sort people or items into groups with multiple competing requirements.

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

$AUD19/month/user
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

Balanced Allocate
Founded: 2025
Australia
balancedapp.io

Alternatives

Solver SDK

Solver SDK

Frontline Systems

Alternatives

RASON

RASON

Frontline Solvers
Viberent

Viberent

Smart Reports Solutions
Analytic Solver

Analytic Solver

Frontline Systems

Categories

Categories

Resource Management Features

Capacity Management
Data Visualization
Demand Forecasting
Drag & Drop
Employee Scheduling
Filtered Search
Resource Allocation
Skills Tracking
Utilization Management

Integrations

Artelys Knitro
Python

Integrations

Artelys Knitro
Python
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