GUSEK (GLPK Under Scite Extended Kit) vs lpsolve

Struggling to choose between GUSEK (GLPK Under Scite Extended Kit) and lpsolve? Both products offer unique advantages, making it a tough decision.

GUSEK (GLPK Under Scite Extended Kit) is a Development solution with tags like lp, glpk, ide, linear-programming, optimization.

It boasts features such as Graphical user interface for creating and editing linear programming models, Integrated development environment for writing scripts and code using GLPK, Toolbar for common GLPK commands like solving models and viewing results, Model browser for exploring model components like variables, constraints, and parameters, Table-based model editor for entering linear programming matrices directly, Model visualizer for viewing network and MIP models graphically, Output viewer for examining solver logs and solution reports and pros including Free and open source, Easy to use GUI for linear programming, Tight integration with GLPK solver, Helpful for learning and teaching optimization, Cross-platform support.

On the other hand, lpsolve is a Development product tagged with linear-programming, solver, optimization, modeling-language.

Its standout features include Formulate linear programming models, Solve models with revised simplex method, Solve models with primal-dual interior point method, Handle integer variables, Import/export models in MPS format, Scriptable using Python and other languages, and it shines with pros like Open source and free to use, Available on many platforms, Fast and robust performance, Supports integer programming, Can handle large models.

Feature	GUSEK (GLPK Under Scite Extended Kit)	lpsolve
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

GUSEK (GLPK Under Scite Extended Kit)

Description: GUSEK is a free open source GUI and IDE for the GLPK linear programming toolkit. It allows creating and editing LP models visually, running GLPK commands, viewing results, and more.

lpsolve

Description: lpsolve is an open-source linear programming solver. It allows formulating linear optimization problems in a simple modeling language and solving them with either the revised simplex method or the primal-dual interior point method.

Key Features Comparison

GUSEK (GLPK Under Scite Extended Kit) Features

• Graphical user interface for creating and editing linear programming models
• Integrated development environment for writing scripts and code using GLPK
• Toolbar for common GLPK commands like solving models and viewing results
• Model browser for exploring model components like variables, constraints, and parameters
• Table-based model editor for entering linear programming matrices directly
• Model visualizer for viewing network and MIP models graphically
• Output viewer for examining solver logs and solution reports

lpsolve Features

• Formulate linear programming models
• Solve models with revised simplex method
• Solve models with primal-dual interior point method
• Handle integer variables
• Import/export models in MPS format
• Scriptable using Python and other languages

Pros & Cons Analysis

GUSEK (GLPK Under Scite Extended Kit)

Pros

• Free and open source
• Easy to use GUI for linear programming
• Tight integration with GLPK solver
• Helpful for learning and teaching optimization
• Cross-platform support

Cons

• Only supports GLPK solver, not other LP solvers
• Limited documentation and help resources
• Development seems inactive, lacks new features
• No native support for nonlinear or integer programming

lpsolve

Pros

• Open source and free to use
• Available on many platforms
• Fast and robust performance
• Supports integer programming
• Can handle large models

Cons

• Limited documentation and support
• User interface is not very intuitive
• Does not support more advanced modeling features
• Not as full-featured as commercial solvers

Pricing Comparison

GUSEK (GLPK Under Scite Extended Kit)

• Free
• Open Source

lpsolve

• Open Source