4.5 / 5 2 reviews

Who Uses This Software?

science, financial market, physics, colleges

Average Ratings

2 Reviews
  • 4.5 / 5
  • 5 / 5
    Ease of Use
  • 2.5 / 5
    Customer Service

Product Details

  • Starting Price
  • Pricing Details
    cost covers documentation, examples and installation help
  • Free Version
  • Deployment
    Installed - Mac
    Installed - Windows
    Mobile - iOS Native
  • Training
  • Support
    Business Hours

Vendor Details

  • jWork
  • jwork.org/
  • United States

About DataMelt

Computation and visualization solution with a comprehensive Java API for data analysis. It be used for numeric computation, statistics, symbolic calculations, data analysis and 2D/3D data visualization. DMelt includes hundreds of examples written in Java, Jython/Python, Groovy, Ruby/jRuby, BeanShell. The program is multi-platform.


DataMelt Features

  • Budgeting/Forecasting
  • File Management
  • Multivariate Analysis
  • Regression Analysis
  • Reporting/Analytics
  • Statistical Process Control
  • Survival Analysis
  • Time Series
  • Visualization

DataMelt Reviews Recently Reviewed!

Great software. Can use Python to program. Many examples.

Feb 18, 2018
5 / 5
Ease of Use
5 / 5
Features & Functionality
2 / 5
Customer Support
1 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not

Pros: It has many example (600!) examples that can run from the IDE. They cover statistics, numerical analysis, neural networks. The software is free
You can use Python and Java and other languages to run the examples. Very comprehensive Java API with 40000 Java classes

Cons: No access to numpy and some other CPython libraries. There is some small free to activate a product that has access to all examples, but, generally, this is not significant problem since this covers huge database with examples and documentation,

Overall: easy to use, many examples

DMelt for data analysis, statistics and numeric calculations

Nov 12, 2016
5 / 5
Ease of Use
5 / 5
Features & Functionality
3 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not

Pros: Java, multiplatform, Python language, 3000

Cons: Requires at least 2 GB RAM

Overall: I had great experience using DMelt. It is very easy to use in the GUI and batch mode. I was following a short tutorial posted on http://www.datasciencecentral.com/, called "Data analysis with DMelt" (blog posted on June 13, 2016). What really makes it special is easy to use interface, Python/Jython scripting, and many Java numerical libraries that can be called using Jython. I highly recommend this program for data analysis, statistical calculations and scientific 3D visualization

Recommendations to other buyers: It can be ran on Windows and Linux and Mac - this is really cool!