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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

WinSTAT serves as a powerful statistics Add-In for Microsoft Excel, providing comprehensive information about its features and benefits. Are you fed up with complex statistics software that requires expert-level knowledge? Discover why WinSTAT could be the ideal solution for your needs. Curious if it includes the functions and visualizations that you're looking for? Explore the function reference page, which showcases sample outputs for various tables and graphics associated with all functions. If you're still on the fence, the best way to determine its value is to experience WinSTAT firsthand. You can easily download the demo right here. We genuinely believe that WinSTAT will play a pivotal role in your statistical endeavors, so why wait? Take the step towards a brighter future in data analysis by ordering WinSTAT today. Among its offerings are regression analysis techniques such as linear, multiple, and polynomial regression, as well as correlation methods like Pearson, Spearman, and partial correlation. Additionally, it provides statistical tests including dependent and independent t-tests, along with various visualizations such as box-plots, scatterplots, histograms, and probit charts. Moreover, WinSTAT includes goodness-of-fit tests like Kolmogorov-Smirnov and Shapiro-Wilk, along with the Chi-square test, giving you a robust toolkit for your statistical needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache NetBeans
Eclipse BIRT

Integrations

Apache NetBeans
Eclipse BIRT

Pricing Details

$0
Free Trial
Free Version

Pricing Details

$99.00
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

jWork.ORG

Founded

2005

Country

United States

Website

datamelt.org

Vendor Details

Company Name

R. Fitch Software

Website

www.winstat.com

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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

Product Features

SPC

Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance

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