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ease
features
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support

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Description

AMPL stands out as a robust and user-friendly modeling language tailored for the representation and resolution of intricate optimization challenges. It allows users to create mathematical models using a syntax that closely resembles algebraic notation, making it easier to clearly articulate variables, objectives, and constraints in a concise format. This versatile tool accommodates a diverse array of problem types, such as linear programming, nonlinear programming, and mixed-integer programming, among others. A notable advantage of AMPL is its capability to decouple models from their data, which enhances flexibility and scalability when dealing with extensive problems. The platform seamlessly integrates with a variety of solvers, both commercial and open-source, granting users the liberty to select the most suitable solver tailored to their specific requirements. AMPL operates across various operating systems, including Windows, macOS, and Linux, and provides a range of licensing options to accommodate different user preferences. Furthermore, its intuitive design and comprehensive documentation make it accessible even for those who are new to optimization modeling.

Description

Balanced Allocate efficiently organizes individuals, items, or resources into groups in an optimal and automated manner. Simply upload a spreadsheet containing details of students, players, guests, or staff, and specify your desired group configurations. You can set various constraints to balance attributes such as gender, skill level, or age; adhere to budgets and quotas; ensure certain items are grouped together; avoid conflicts; and ensure that items meant to be paired remain together. The allocation solver quickly identifies the most effective distribution in just seconds, even when managing hundreds of items and numerous rules. Examples of its application include class placements that consider ability levels, gender, and IEP requirements while allowing for necessary separations, forming balanced sports teams based on skill, age, and family connections, arranging event seating while accommodating dietary preferences and relationship dynamics, and distributing staff across shifts based on skills and availability. The platform supports CSV and Excel uploads, offers various constraint options, provides real-time diagnostics and conflict detection, allows PDF exports, and lets you save configurations for future use. With a 14-day free trial available that requires no credit card, it ensures a risk-free experience. Powered by Google OR-Tools CP-SAT engine, it requires no programming skills—just point, click, and solve for optimal outcomes. Additionally, the user-friendly interface makes it accessible to anyone looking to streamline their allocation processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Artelys Knitro
Python

Integrations

Artelys Knitro
Python

Pricing Details

$3,000 per year
Free Trial
Free Version

Pricing Details

$19/month/user
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AMPL

Founded

2002

Country

United States

Website

ampl.com/products/ampl/

Vendor Details

Company Name

Balanced Allocate

Founded

2025

Country

Australia

Website

balancedapp.io

Product Features

Product Features

Resource Management

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

Alternatives

Alternatives

No Alternatives
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