Audience
scientists, students
About DataMelt
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.
Other Popular Alternatives & Related Software
Simcenter Compose
Simcenter Compose is a numerical computing environment from Siemens designed for custom mathematical data operations and CAE pre- and post-processing work. It allows engineers to perform a wide range of math operations, including linear algebra, matrix manipulation, statistics, differential equations, signal processing, control systems, polynomial fitting, and optimization. The software includes native CAE and test result readers that help users better understand systems and support model-based development. Simcenter Compose provides a user-friendly integrated development environment with all capabilities available in one multi-functional tool and no additional toolboxes required. Users can develop reusable scripts, automate repeated calculations, visualize results with 2D and 3D plots, and connect with OML, Octave, and Python environments. It can be used as a standalone tool or alongside other Simcenter products such as Simcenter Embed and Simcenter Twin Activate.
Learn more about Simcenter Compose
Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub.
Learn more about Microsoft Cognitive Toolkit
Statistix
lf you have data to analyze—but you're a researcher, not a statistician—Statistix is designed for you. You'll be up and running in minutes—without programming or using the manual! This easy to learn and simple to use software saves you valuable time and money. Statistix combines all the basic and advanced statistics and powerful data manipulation tools you need in a single, inexpensive package. Statistix offers powerful data manipulation tools, import/export support for Excel and text files, linear models (including linear regression, logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series, association tests, survival analysis, quality control, power analysis, and more.
Learn more about Statistix
NLREG
NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting. NLREG determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. NLREG can handle linear, polynomial, exponential, logistic, periodic, and general nonlinear functions. Unlike many "nonlinear" regression programs that can only handle a limited set of function forms, NLREG can handle essentially any function whose form you can specify algebraically. NLREG features a full programming language with a syntax similar to C for specifying the function that is to be fitted to the data. This allows you to compute intermediate work variables, use conditionals, and even iterate in loops. With NLREG it is easy to construct piecewise functions that change form over different domains. Since the NLREG language includes arrays, you can even use tabular look-up methods to define the function.
Learn more about NLREG
Pricing
Starting Price:
$0
Pricing Details:
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version:
Free Version available.
Company Information
jWork.ORG
Founded: 2005
United States
datamelt.org
Videos and Screen Captures
Other Useful Business Software
Paessler: Easy to Use With Enterprise Power. Free Trial
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Product Details
Platforms Supported
Windows
Mac
Linux
Android
Training
Documentation
In Person
Support
Phone Support
DataMelt Frequently Asked Questions
Q: What kinds of users and organization types does DataMelt work with?
DataMelt works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does DataMelt support in their product?
DataMelt supports these languages: English.
Q: What kind of support options does DataMelt offer?
DataMelt offers support via phone support.
Q: What other applications or services does DataMelt integrate with?
DataMelt integrates with: Apache NetBeans and Eclipse BIRT.
Q: Does DataMelt have an API?
Yes, DataMelt has an API.
Q: Does DataMelt have a mobile app?
Yes, DataMelt has a mobile app for Android.
Q: What type of training does DataMelt provide?
DataMelt provides training in the form of documentation and in person.
Q: How much does DataMelt cost?
Pricing for DataMelt starts at $0.
Q: What pricing for training is available for DataMelt?
DataMelt offers training additional fee / premium available.
DataMelt Product Features
Artificial Intelligence
For Healthcare
Supported
Image Recognition
Supported
Machine Learning
Supported
Natural Language Processing
Supported
Predictive Analytics
Supported
Chatbot
Not Supported
For Sales
Not Supported
For eCommerce
Not Supported
Multi-Language
Not Supported
Process/Workflow Automation
Not Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
Data Analysis
Data Discovery
Supported
Data Visualization
Supported
Predictive Analytics
Supported
Regression Analysis
Supported
Statistical Modeling
Supported
Text Analytics
Supported
High Volume Processing
Not Supported
Sentiment Analysis
Not Supported
Data Mining
Data Extraction
Supported
Data Visualization
Supported
Machine Learning
Supported
Predictive Modeling
Supported
Statistical Analysis
Supported
Text Mining
Supported
Fraud Detection
Not Supported
Linked Data Management
Not Supported
Semantic Search
Not Supported
Data Visualization
Analytics
Supported
Simulation Models
Supported
Visual Discovery
Supported
Content Management
Not Supported
Dashboard Creation
Not Supported
Filtered Views
Not Supported
OLAP
Not Supported
Relational Display
Not Supported
Deep Learning
Convolutional Neural Networks
Supported
Document Classification
Supported
ML Algorithm Library
Supported
Model Training
Supported
Self-Learning
Supported
Visualization
Supported
Image Segmentation
Not Supported
Neural Network Modeling
Not Supported
Statistical Analysis
Analytics
Supported
Association Discovery
Supported
Compliance Tracking
Supported
File Management
Supported
File Storage
Supported
Forecasting
Supported
Multivariate Analysis
Supported
Regression Analysis
Supported
Statistical Simulation
Supported
Survival Analysis
Supported
Time Series
Supported
Visualization
Supported
Statistical Process Control
Not Supported
