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What is EngineRoom?

EngineRoom empowers users to improve their processes by offering a wide range of resources tailored for solving problems effectively. The platform combines various tools for graphical representation, statistical analysis, and modeling, all aimed at simplifying project organization and management. Users can delve into their data, manage projects, and create detailed process maps with ease. Thanks to EngineRoom's intuitive drag-and-drop functionality, the steep learning curve often associated with desktop data analysis tools is greatly diminished. Moreover, the platform includes innovative, patented wizards that assist users in hypothesis testing and designing experiments (DOE), ensuring precise analysis and straightforward reporting of results. A significant advantage is that EngineRoom requires no installation on personal desktops, nor does it involve managing complex licensing files or occupying hard drive space, providing users with immediate access to the platform. By simply logging into their accounts through any web browser, users can retrieve their projects from any location, and when they return, their data and results are preserved exactly as they were left. This effortless accessibility not only streamlines the user experience but also significantly boosts productivity and efficiency in managing projects. With EngineRoom, the ability to collaborate and share insights in real-time further enhances the overall project development experience.

What is DataMelt?

DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements. As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.

Media

Media

Integrations Supported

Axis LMS
Google Chrome
HTML
Microsoft Edge
Mozilla Firefox
R
Safari
TRACtion

Integrations Supported

Apache NetBeans
Eclipse BIRT

API Availability

API Availability

Has API

Pricing Information

$449 per year
Free Trial Offered?

Pricing Information

$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

Android
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

MoreSteam

Company Location

United States

Company Website

www.moresteam.com/engineroom/

Company Facts

Organization Name

jWork.ORG

Date Founded

2005

Company Location

United States

Company Website

datamelt.org

Categories and Features

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis

Data Management

Data Integration
Data Quality Control

Data Visualization

Dashboard Creation
Visual Discovery

Process Mapping

Not specified

SPC

Not specified

Statistical Analysis

Association Discovery
Regression Analysis
Statistical Process Control
Statistical Simulation

Categories and Features

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Natural Language Processing
Predictive Analytics

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Machine Learning
Predictive Modeling
Statistical Analysis
Text Mining

Data Visualization

Analytics
Simulation Models
Visual Discovery

Deep Learning

Convolutional Neural Networks
Document Classification
ML Algorithm Library
Model Training
Self-Learning
Visualization

Education

Not specified

Neural Network

Not specified

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Simulation
Survival Analysis
Time Series
Visualization

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