DataMeltjWork.ORG
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esProc DesktopScudata
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Related Products
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About
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.
DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
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About
esProc Desktop is both a Programming Language that can be learned by non-programmers, and a toolkit for desktop data processing and analytics more efficiently in an much easier way.
esProc Desktop can solve the following works:
1. Complex calculations and transformations that are difficult to do directly in Excel to speed up your Excel work;
2. Multi-step interactive data analysis that BI software cannot perform;
3. Repetitive processing batch files (xls/csv/...) on hand (querying/calculating/generating/converting)
esProc has simple to use, smooth and beautiful interface, full programming capabilities, naturally built in Excel, non-professional programmers can play it independently.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
scientists, students
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Audience
Users cover any professionals who need Excel VBA, SQL, Python for big data processing and analytics, Even non-professional programmers such as marketing managers, financial specialists, HR managers, business analysts, etc can play it independently for big data processing. esProc Desktop as a toolkit for data computation, processing, and analysis are widely used in various industries like retail, healthcare, finance,Manufacturing, Media & Entertainment, Education for insights.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version
Free Trial
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Pricing
$99/user/year
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationjWork.ORG
Founded: 2005
United States
datamelt.org
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Company InformationScudata
Founded: 2000
Hong Kong
www.scudata.com/esproc-desktop/
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Categories |
Categories |
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Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
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Integrations
Apache NetBeans
Eclipse BIRT
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