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 their own business wants, it is prudent they avoid picking a one-size-fits-all, ideal software. Just the same, it would be hard to pinpoint such a software system even among popular software products. The practicable step to undertake would be to narrow down the several significant aspects that demand research including important features, costing, skill capability of staff, business size, etc. Thereafter, you should perform your product research through and through. Have a look at some of these DataMelt evaluations and scrutinize the other software systems in your shortlist more closely. Such detailed product research ascertains you circumvent ill-fitting software solutions and subscribe to the system which offers all the function 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.
Each company is different, and can need a particular type of Data Analytics Software solution that will be adjusted to their business size, type of clients and employees and even specific niche they cater to. We advise you don't count on locating an ideal app that will work for every company regardless of their history is. It may be a good idea to read a few DataMelt Data Analytics Software reviews first and even then you should keep in mind what the solution is intended to do for your business and your workers. Do you require an easy and intuitive app with only essential features? Will you really use the advanced tools needed by experts and large enterprises? Are there any particular features that are especially useful for the industry you operate in? If you ask yourself these questions it is going to be much easier to locate a reliable solution that will match your budget.
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 learn how experts score it in their reviews, but also to check whether the actual clients and companies that use this software are indeed happy with the product. Because of that need we’ve created our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and DataMelt reviews across a broad range of social media sites. The data is then featured in an easy to digest form showing how many customers had positive and negative experience with DataMelt. With that information available you should be prepared to make an informed purchasing decision 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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