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Average Ratings 1 Rating
Description
DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming.
DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.
Description
SAS/STAT offers precise methods tailored for small datasets, powerful statistical modeling capabilities suitable for large-scale data, and contemporary techniques for handling missing data. Additionally, the software undergoes frequent updates, allowing users to leverage the latest advancements in the ever-evolving statistics domain. With a legacy spanning over forty years in creating cutting-edge statistical analysis tools, SAS has built a strong reputation for providing outstanding and dependable outcomes. The rigorous quality assurance and testing procedures ensure that each software release meets high standards. Users can trust that the code generated with SAS/STAT complies with both corporate and governmental regulations, ensuring reliability. Furthermore, a wide array of customizable charts and graphs is available, promoting clarity in statistical outputs and making the results of your analyses straightforward and accessible. This combination of features makes SAS/STAT an invaluable resource for statisticians and data analysts alike.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
jWork.ORG
Founded
2005
Country
United States
Website
datamelt.org
Vendor Details
Company Name
SAS Institute
Founded
1976
Country
United States
Website
www.sas.com/en/software/stat.html
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
No
For eCommerce
No
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
No
Natural Language Processing
Yes
Predictive Analytics
Yes
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
Yes
Data Mining
Data Extraction
Yes
Data Visualization
Yes
Fraud Detection
No
Linked Data Management
No
Machine Learning
Yes
Predictive Modeling
Yes
Semantic Search
No
Statistical Analysis
Yes
Text Mining
Yes
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
Yes
Visual Discovery
Yes
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
No
ML Algorithm Library
Yes
Model Training
Yes
Neural Network Modeling
No
Self-Learning
Yes
Visualization
Yes
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
Yes
File Storage
Yes
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
No
Statistical Simulation
Yes
Survival Analysis
Yes
Time Series
Yes
Visualization
Yes
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
No