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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

Simcenter Compose is a Siemens engineering software solution that gives users a flexible environment for numerical computing, mathematical analysis, and CAE data processing. It supports many technical calculations, from basic engineering math to advanced operations involving matrices, statistics, differential equations, signal processing, control systems, curve fitting, and optimization. Engineers can use the platform to create scripts, automate repeated tasks, and perform calculations that support better product development decisions. Its built-in CAE and test result readers help teams quickly interpret simulation and test data across multi-domain systems. Simcenter Compose includes a complete integrated development environment, so users can access its capabilities without needing separate add-on toolboxes. The software also supports 2D and 3D plotting, giving users a clearer way to visualize results and communicate findings. Because it is based on Open Matrix Language, it works well for users who need a math-focused scripting environment. It also offers compatibility with Octave and Python, making it easier to connect with existing technical workflows. Simcenter Compose can operate on its own or integrate with other Simcenter tools to support broader system simulation and model-based development processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache NetBeans
Check Point IPS
Check Point Infinity
Eclipse BIRT
Oracle Big Data Discovery

Integrations

Apache NetBeans
Check Point IPS
Check Point Infinity
Eclipse BIRT
Oracle Big Data Discovery

Pricing Details

$0
Free Trial
Free Version

Pricing Details

No price information available.
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

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/simcenter/systems-simulation/compose/

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

CAD

2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

Data Visualization

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

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

Alternatives

Altair Compose Reviews

Altair Compose

Altair Engineering

Alternatives

JMP Statistical Software Reviews

JMP Statistical Software

JMP Statistical Discovery
Statistix Reviews

Statistix

Analytical Software