Audience
scientists, students
About DataMelt
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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Pricing
Starting Price:
$0
Pricing Details:
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version:
Free Version available.
Company Information
jWork.ORG
Founded: 2005
United States
datamelt.org
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Product Details
Platforms Supported
Windows
Mac
Linux
Android
Training
Documentation
In Person
Support
Phone Support
DataMelt Frequently Asked Questions
DataMelt Product Features
Artificial Intelligence
For Healthcare
Supported
Image Recognition
Supported
Machine Learning
Supported
Natural Language Processing
Supported
Predictive Analytics
Supported
Chatbot
Not Supported
For Sales
Not Supported
For eCommerce
Not Supported
Multi-Language
Not Supported
Process/Workflow Automation
Not Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
Data Analysis
Data Discovery
Supported
Data Visualization
Supported
Predictive Analytics
Supported
Regression Analysis
Supported
Statistical Modeling
Supported
Text Analytics
Supported
High Volume Processing
Not Supported
Sentiment Analysis
Not Supported
Data Mining
Data Extraction
Supported
Data Visualization
Supported
Machine Learning
Supported
Predictive Modeling
Supported
Statistical Analysis
Supported
Text Mining
Supported
Fraud Detection
Not Supported
Linked Data Management
Not Supported
Semantic Search
Not Supported
Data Visualization
Analytics
Supported
Simulation Models
Supported
Visual Discovery
Supported
Content Management
Not Supported
Dashboard Creation
Not Supported
Filtered Views
Not Supported
OLAP
Not Supported
Relational Display
Not Supported
Deep Learning
Convolutional Neural Networks
Supported
Document Classification
Supported
ML Algorithm Library
Supported
Model Training
Supported
Self-Learning
Supported
Visualization
Supported
Image Segmentation
Not Supported
Neural Network Modeling
Not Supported
Statistical Analysis
Analytics
Supported
Association Discovery
Supported
Compliance Tracking
Supported
File Management
Supported
File Storage
Supported
Forecasting
Supported
Multivariate Analysis
Supported
Regression Analysis
Supported
Statistical Simulation
Supported
Survival Analysis
Supported
Time Series
Supported
Visualization
Supported
Statistical Process Control
Not Supported
