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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

Discover innovative and effective turn-key algorithms designed specifically for data scientists, alongside robust circuit components tailored for quantum engineers. These turn-key implementations cater to the needs of data scientists, financial analysts, and various engineers alike. Delve into challenges related to binary optimization, machine learning, linear algebra, and Monte Carlo sampling, whether on simulators or actual quantum hardware. No background in quantum computing is necessary to get started. Utilize NISQ data loader circuits to transform classical data into quantum states, thereby enhancing your algorithmic capabilities. Leverage our circuit components for linear algebra tasks, such as distance estimation and matrix multiplication. You can also customize your own algorithms using these building blocks. Experience a notable enhancement in performance when working with D-Wave hardware, along with the latest advancements in gate-based methodologies. Additionally, experiment with quantum data loaders and algorithms that promise significant speed improvements in areas like clustering, classification, and regression analysis. This is an exciting opportunity for anyone looking to bridge classical and quantum computing.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Apache NetBeans Yes 
Eclipse BIRT Yes 
NVIDIA DRIVE No 

Integrations

Amazon Web Services (AWS) Yes 
Apache NetBeans No 
Eclipse BIRT No 
NVIDIA DRIVE Yes 

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

$2,500 per hour
Free Trial No 
Free Version Yes 

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 No 
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) No 
In Person Yes 

Vendor Details

Company Name

jWork.ORG

Founded

2005

Country

United States

Website

datamelt.org

Vendor Details

Company Name

QC Ware

Founded

2014

Country

United States

Website

forge.qcware.com

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

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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