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What is GAMS?

The General Algebraic Modeling System, commonly known as GAMS, is a top-tier software solution celebrated for its robust mathematical modeling capabilities, outstanding performance, and ease of use. The introduction of GAMSPy has allowed users to integrate GAMS features with Python effortlessly, which significantly boosts the efficiency and flexibility of model creation within the Python ecosystem. Its algebraic modeling language facilitates the straightforward formulation of optimization problems, enabling the attainment of optimal solutions through sophisticated mathematical solvers. Additionally, GAMS MIRO offers user-friendly graphical interfaces for managing GAMS models, accommodating both local and cloud deployments, and providing advanced visualization tools. For those in need of scalable options, the GAMS Engine delivers a reliable software as a service (SaaS) solution, allowing for the execution of models on local machines or in cloud environments. Beyond these functionalities, GAMS is dedicated to enriching user experience through a variety of workshops, training programs, and consulting services, which are designed to enhance their skills in developing, refining, and implementing effective decision-support systems. This holistic support structure not only empowers users to maximize the capabilities of GAMS but also encourages continuous innovation and operational efficiency in their modeling projects. Ultimately, GAMS stands out as an essential tool for anyone looking to tackle complex mathematical challenges effectively.

What is Data Desk?

Using formulas on data without thorough examination typically results in limited advantages outside of basic situations. In practical data analysis, a nuanced and iterative strategy is essential, and Data Desk significantly improves this process by allowing users to pinpoint potentially misleading outliers through an integrated visual interface, while preserving their selections as they explore different visualizations. This capability enables quick identification of anomalies and patterns at a single glance. Moreover, by facilitating swift conversion of data into various formats, Data Desk cultivates an atmosphere of experimentation and innovation, which contributes to crafting more robust models. Users can interactively choose and organize data across several visualizations in real-time, enhancing their analytical capabilities. With Data Desk's user-friendly graphical interface, creating charts and performing sophisticated analyses becomes straightforward; additionally, with a simple click, users can export the R or Python code that mirrors their work. The platform also guarantees that your data is sanitized to comply with R's requirements, thus mitigating problems associated with stray characters. Notably, any comments added in the Data Desk environment are seamlessly integrated into the generated code, improving the clarity and effectiveness of your analyses. These features not only simplify the analytical workflow but also encourage a more profound comprehension of the data being analyzed, ultimately leading to better decision-making. As a result, data professionals are empowered to derive insights more efficiently and accurately.

Media

Media

Integrations Supported

Artelys Knitro
Python

Integrations Supported

Artelys Knitro
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$3,500 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GAMS

Date Founded

1987

Company Location

United States

Company Website

www.gams.com

Company Facts

Organization Name

Data Description

Company Website

datadescription.com

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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