DataMelt

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Scavis logo.jpg


Computation and Visualization Environment 1.2 (2015/07/10)

Scavis.png

Developed by: DataMelt community. Led by S.Chekanov
License: GPL / GNU for non commercial use. Commercial-friendly license is available
Web page : Tool homepage
Tool type : Application software

Tool.png

The last edition of this page was on: 2014/02/26

The Completion level of this page is : Medium


SHORT DESCRIPTION

DataMelt is a software environment for numeric calculations, statistics and data analysis


DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.

DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.

DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is '.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for '.

Manipulation type

This tool is designed for Data transformation, Data analysis, Data visualisation.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type: Mathematical transformation of data for analysis
  • Data analysis of type: Data mining methods and algorithms, Basic statistics and data summarization
  • Data visualisation of type: Sequential Graphic, Chart/Diagram, Map (These visualisations can be updated in "real time" )



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Advanced

PROGRAMMING: Basic

SYSTEM ADMINISTRATION: None

DATA MINING MODELS: Medium



FREE TEXT


Tool version : Computation and Visualization Environment 1.2 2015/07/10
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Developed by : DataMelt community. Led by S.Chekanov
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Tool Web page : http://jwork.org/dmelt/
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Tool type : Application software
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License:GPL / GNU for non commercial use. Commercial-friendly license is available

Scavis.png

1 SHORT DESCRIPTION


DataMelt is a software environment for numeric calculations, statistics and data analysis


DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.

DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.

DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.

2 TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for . Authors of this page consider that this tool is .
Data import format Data export format
. .
Tool objective(s) in the field of Learning Sciences

☐ Analysis & Visualisation of data
☐ Predicting student performance
☐ Student modelling
☐ Social Network Analysis (SNA)
☐ Constructing courseware

☐ Providing feedback for supporting instructors:
☐ Recommendations for students
☐ Grouping students:
☐ Developing concept maps:
☐ Planning/scheduling/monitoring
Experimentation/observation

Can perform data extraction of type:


Can perform data transformation of type:
Mathematical transformation of data for analysis


Can perform data analysis of type:
Data mining methods and algorithms, Basic statistics and data summarization


Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram, Map (These visualisations can be updated in "real time" )


3 ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☐ Teachers/Tutors/Managers:☐ Researchers:☐ Organisations/Institutions/Firms:☐ Others:☐
Required skills:
Statistics: ADVANCED Programming: BASIC System administration: NONE Data mining models: MEDIUM

4 OTHER TOOL INFORMATION


Scavis.png
Scavis.png
Scavis logo.jpg
Computation and Visualization Environment
"GPL / GNU for non commercial use. Commercial-friendly license is available" is not in the list of possible values (Artistic License 2.0, Berkeley Database License, Boost Software License, BSD license (modified version), BDL / BSD Documentation License, CeCILL (CEA CNRS INRIA Logiciel Libre), Cryptix General License, Eclipse Distribution License, EUPL - European Union Public License, GPL / GNU General Public License, Intel Open Source License, ISC license, LGPL / GNU Lesser General Public License, License of Python, MIT license, Mozilla Public License 2.0(MPL 2.0), Public Domain, W3C Software Notice and License, WTFPL, X11 license, zlib/libpng license, Zope Public License, Academic Free License (AFL), Affero General Public License version 1, Apache License, Apple Public Source License (APSL), BSD license (original version), Common Public License, Common Development and Distribution License (CDDL), Eclipse Public License (EPL), IBM Public License, LaTeX Project Public License (LPPL), Microsoft Public License, Microsoft Reciprocal License, Mozilla Public License 1.1 (MPL 1.1), Netscape Public License (NPL), Open Software License, OpenSSL license, PHP License, Q Public License (QPL), Sun Industry Standards Source License (SISSL), Sun Public License, XFree86 1.1 License, Other license) for this property.
Free&Open source
DataMelt community. Led by S.Chekanov
2015/07/10
1.2
http://jwork.org/dmelt/
DataMelt is a software environment for numeric calculations, statistics and data analysis


DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.

DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.

DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.

General analysis
Advanced
Basic
None
Medium
Application software
Data transformation, Data analysis, Data visualisation
Data mining methods and algorithms, Basic statistics and data summarization
Mathematical transformation of data for analysis
Sequential Graphic, Chart/Diagram, Map
Medium
Facts about "DataMelt"
Analysis orientationGeneral analysis +
Analysis typeData mining methods and algorithms + and Basic statistics and data summarization +
Data manipulation typeData transformation +, Data analysis + and Data visualisation +
Data tool typeApplication software +
Data transformation capabilitiesMathematical transformation of data for analysis +
Has completion levelMedium +
Has descriptionDataMelt is a software environment for
DataMelt is a software environment for numeric calculations, statistics and data analysis


DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.

DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.

DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.
n LaTeX and other text-processing systems. +
Has last revision number1.2 +
Has logoScavis logo.jpg +
Has nameComputation and Visualization Environment +
Has screenshotScavis.png +
Has websitehttp://jwork.org/dmelt/ +
Is developed byDataMelt community. Led by S.Chekanov +
Last editionFebruary 26, 2014 +
License typeFree&Open source +
User data mining models levelMedium +
User programming levelBasic +
User statistics levelAdvanced +
User system engineering levelNone +
Visualisation typeSequential Graphic +, Chart/Diagram + and Map +
Was last released onJuly 10, 2015 +