DataMeltjWork.ORG
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Related Products
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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.
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About
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.
DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Supported
Chromebook
Not Supported
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Audience
Operations researchers, data scientists, and professionals in need of a tool to model and solve complex mathematical programming problems
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Audience
scientists, students
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$3,000 per year
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationAMPL
Founded: 2002
United States
ampl.com/products/ampl/
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Company InformationjWork.ORG
Founded: 2005
United States
datamelt.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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Artificial Intelligence Features
Chatbot
Not Supported
For eCommerce
Not Supported
For Healthcare
Supported
For Sales
Not Supported
Image Recognition
Supported
Machine Learning
Supported
Multi-Language
Not Supported
Natural Language Processing
Supported
Predictive Analytics
Supported
Process/Workflow Automation
Not Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
Data Analysis Features
Data Discovery
Supported
Data Visualization
Supported
High Volume Processing
Not Supported
Predictive Analytics
Supported
Regression Analysis
Supported
Sentiment Analysis
Not Supported
Statistical Modeling
Supported
Text Analytics
Supported
Data Mining Features
Data Extraction
Supported
Data Visualization
Supported
Fraud Detection
Not Supported
Linked Data Management
Not Supported
Machine Learning
Supported
Predictive Modeling
Supported
Semantic Search
Not Supported
Statistical Analysis
Supported
Text Mining
Supported
Data Visualization Features
Analytics
Supported
Content Management
Not Supported
Dashboard Creation
Not Supported
Filtered Views
Not Supported
OLAP
Not Supported
Relational Display
Not Supported
Simulation Models
Supported
Visual Discovery
Supported
Deep Learning Features
Convolutional Neural Networks
Supported
Document Classification
Supported
Image Segmentation
Not Supported
ML Algorithm Library
Supported
Model Training
Supported
Neural Network Modeling
Not Supported
Self-Learning
Supported
Visualization
Supported
Statistical Analysis Features
Analytics
Supported
Association Discovery
Supported
Compliance Tracking
Supported
File Management
Supported
File Storage
Supported
Forecasting
Supported
Multivariate Analysis
Supported
Regression Analysis
Supported
Statistical Process Control
Not Supported
Statistical Simulation
Supported
Survival Analysis
Supported
Time Series
Supported
Visualization
Supported
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Integrations
Apache NetBeans
Not Supported
Artelys Knitro
Supported
Eclipse BIRT
Not Supported
Python
Supported
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Integrations
Apache NetBeans
Supported
Artelys Knitro
Not Supported
Eclipse BIRT
Supported
Python
Not Supported
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