DataMelt Review
What is DataMelt?
DataMelt is an open-source, multi-platform, and portable data analytics software that allows users to analyze and visualize large volumes of data and perform scientific, statistical, and mathematical calculations. It is an interactive computation and visualization environment used by engineers, scientists, financial analysts, researchers, and students.
The data analytics software leverages the capabilities of various programming and scripting languages and open-source JAVA packages, providing a dynamic and competitive environment for data analysis, numeric computation, statistical computation, and symbolic calculation. Because DataMelt is a multi-platform software, users can run it on different types of operating systems – Windows, Linux, Mac OS, and Android.
The software includes an integrated development environment (IDE) built with essential features such as syntax checking and highlighting and code analysis. DataMelt supports 2D and 3D scientific plotting and produces vector-graphics images that can be added to text-processing tools like LaTeX.
Show MoreOverview of DataMelt Benefits
Used For Various Purposes
Users can utilize DataMelt for various purposes, like when they are conducting a scientific research or study, modeling and analyzing financial markets, or performing engineering computational analysis. This makes DataMelt a dynamic and flexible data analytics software, as it can be leveraged by different organizations, professionals, and individuals depending on the industry or field they belong to, activities and tasks they do, or goals they want to achieve.
Multiple Programming Languages
DataMelt provides a computation and visualization environment that permits the usage of multiple programming and scripting languages which include JAVA, Python/Jython, JRuby, Groovy, BeanShell, and Matlab/Octave. Hundreds of open-source Java packages used for mathematical and numerical computations are also incorporated into this environment.
Both high-level and low-level languages can be used when it comes to performing data analyses and statistical computations. Users can combine Matlab/Octave with JAVA when they are doing symbolic calculations as well as leverage Python for scientific visualization. DataMelt also allows them to take advantage of Groovy scripting to speed up the execution of numerical computations.
Portable & Multi-Platform
DataMelt is a portable and multiplatform data visualization application. Once the program is downloaded and stored in their PC, USB, or flash drive, users can run it right away on a Windows, Linux, Mac, or Android operating system without doing any installation.
Show MoreOverview of DataMelt Features
- Multiple Scripting Languages
- Open-Source JAVA Packages
- Statistical, & Numeric Computation
- Scientific & Symbolic Calculation
- Data Analysis
- Data Mining
- Data Visualization
- Multi-Platform
- Portable Application
- Feature-Rich IDE
- JAVA Applets
What Problems Will DataMelt Solve?
Problem #1: Financial Computation & Analysis
Financial service providers and professionals will be able to leverage DataMelt as they conduct financial computations and analyses. The software supports predictive analysis, market analysis, and time series analysis.
Problem #2: Natural Sciences
DataMelt is useful for users in the field of natural sciences. They can perform scientific calculations for research and studies related to cosmology and particle physics and come up with interactive and stunning visualizations
Problem #3: Statistics
The data analytics software accelerates and enhances statistical analysis. Users are given the opportunity to utilize high-level and low-level programming and scripting languages for statistical calculations, perform data mining so they can easily identify trends or patterns in large volumes of data, and view statistical results from charts.
Awards & Quality Certificates
DataMelt Position In Our Categories
Because companies have distinctive business requirements, it is rational they steer clear of going for a one-size-fits-all, “perfect” software solution. Just the same, it would be difficult to try to chance on such an app even among widely used software systems. The right thing to undertake should be to shortlist the various important aspects which need scrutiny like major features, budget, technical skill aptitude of the employees, business size, etc. After which, you must follow through your product research thoroughly. Have a look at some DataMelt evaluations and scrutinize each of the applications in your shortlist more closely. Such well-rounded product research can make sure you drop unfit apps and select the system that provides all the aspects your company requires.
Position of DataMelt in our main categories:
TOP
100
DataMelt is one of the top 100 Data Analytics Software products
If you are interested in DataMelt it might also be a good idea to examine other subcategories of Data Analytics Software listed in our base of SaaS software reviews.
There are trendy and widely used solutions in each software category. But are they necessarily the best fit for your company’s specific requirements? A popular software solution may have thousands of customers, but does it offer what you require? For this reason, do not blindly spend on popular systems. Read at least a few DataMelt Data Analytics Software reviews and mull over the aspects that you desire in the software such as the fees, main tools, available integrations etc. Then, choose a few systems that fit your wants. Check out the free trials of these products, read online reviews, get clarifications from the maker, and do your research thoroughly. This profound groundwork is sure to help you find the most excellent software application for your company’s unique wants.
How Much Does DataMelt Cost?
DataMelt Pricing Plans:
Free Trial
Free
$0
One-Time Membership Fee
$20
What are DataMelt pricing details?
DataMelt Pricing Plans:
Free Trial
Free
$0
One-Time Membership Fee
$20
DataMelt is a free and open-source software environment. This means you can use it for free without worrying about any enterprise pricing plan fees.
Meanwhile, if you’re going to use the software environment for commercial purposes, you need to pay for a one-time membership fee of $20 and abide by the restrictions and conditions specified under the Creative-Commons License.
Once you become a member of the DataMelt project, you can get a commercial usage license as well as access DataMelt’s full documentation, source code and script repositories, help system, and other important files and resources.
User Satisfaction
Positive Social Media Mentions
1
Negative Social Media Mentions
44
We know that when you choose to get a Data Analytics Software it’s vital not only to find out how professionals score it in their reviews, but also to discover whether the actual users and businesses that bought these solutions are indeed happy with the service. Because of that need we’ve designer our behavior-based Customer Satisfaction Algorithm™ that gathers customer reviews, comments and DataMelt reviews across a broad range of social media sites. The information is then displayed in an easy to digest form indicating how many users had positive and negative experience with DataMelt. With that information at hand you will be prepared to make an informed purchasing choice that you won’t regret.
Video
Technical details
Devices Supported
- Windows
- Linux
- Android
- Mac
- Web-based
Deployment
- Cloud Hosted
- On Premise
- Open API
Language Support
- English
Pricing Model
- Free
- One-time payment
Customer Types
- Small Business
- Large Enterprises
- Medium Business
- Freelancers
What Support Does This Vendor Offer?
- phone
- live support
- training
- tickets
What integrations are available for DataMelt?
DataMelt integrates with many open-source JAVA packages and works with the following scripting languages:
- Python
- Groovy
- JRuby
- Groovy,
- BeanShell
- Matlab/Octave
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