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
Since companies have unique business-related needs, it is rational they steer clear of adopting a one-size-fits-all, “perfect” business application. At any rate, it is futile to try to stumble on such application even among branded software solutions. The practicable step to undertake would be to note down the various critical functions which demand research including major features, packages, technical skill aptitude of staff, business size, etc. Thereafter, you should follow through the product research thoroughly. Have a look at these DataMelt analyses and explore the other software options in your list in detail. Such all-encompassing research ensure you avoid ill-fitting software solutions and subscribe to the one that has all the benefits your business requires.
Position of DataMelt in our main categories:
TOP
100
DataMelt is one of the top 100 Data Analytics Software products
If you are considering DataMelt it might also be sensible to analyze other subcategories of Data Analytics Software listed in our base of SaaS software reviews.
There are popular and widely used systems in each software category. But are they essentially the best fit for your enterprise’s unique needs? A trendy software solution may have thousands of subscribers, but does it present what you need? For this reason, do not blindly invest in popular systems. Read at least a few DataMelt Data Analytics Software reviews and consider the aspects that you wish to have in the software such as the price, main features, available integrations etc. Then, shortlist a few apps that fit your wants. Try out the free trials of these apps, read online comments, get explanations from the maker, and do your research systematically. This exhaustive homework is certain to aid you select the best software solution for your organization’s special needs.
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 realize that when you decide to get a Data Analytics Software it’s important not only to see how professionals evaluate it in their reviews, but also to find out if the actual users and companies that use this software are indeed happy with the product. Because of that need we’ve devised our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and DataMelt reviews across a vast array of social media sites. The data is then featured in an easy to understand way showing how many people had positive and negative experience with DataMelt. With that information at hand you will be prepared to make an informed buying 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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