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  2. Capella (engineering) - Wikipedia

    en.wikipedia.org/wiki/Capella_(engineering)

    Capella was created by Thales in 2007, and has been under continuous development and evolution since then. The objective is to contribute to the transformation of engineering, providing an engineering environment which approach is based on models rather than focused on documents, piloted by a process, and offering, by construction, ways to ensure effective co-engineering.

  3. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Open source MySQL, MS SQL Server, PostgreSQL, Oracle, IBM Db2: Windows Visual Studio Extension 2005 Open ModelSphere: Grandite Enterprises - SMBs - personal Open source MS SQL Server, MySQL, PostgreSQL, Oracle, IBM Db2: Windows, macOS, Linux Standalone with Data, UML, and process modeling 2008 Oracle SQL Developer Data Modeler Oracle

  4. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering. [4] From the beginning, dbt was open source. [5] In 2018, the dbt Labs team (then called Fishtown Analytics) released a commercial product on top of dbt Core. [6]

  5. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  6. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  7. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling:

  8. List of SysML tools - Wikipedia

    en.wikipedia.org/wiki/List_of_SysML_tools

    Open source Software license Programming language used Astah: ChangeVision, Inc. [1] Windows, macOS 2009-10-19 2024-12-04 (v10) [2] No Commercial Java Cameo Systems Modeler 3DS Catia, No Magic Windows, Linux, macOS Commercial Java Capella: Thales Group & Eclipse Foundation community Windows, Linux, macOS 2015-04-06 [3] 2020-11-17 (v5.0) [4] Yes ...

  9. MagicDraw - Wikipedia

    en.wikipedia.org/wiki/MagicDraw

    Visual model differencing allows viewing the changes made between two different versions of a model. Representation of the number of class and package dependencies is automatically generated after code is reverse engineered. Usage in Diagrams allows viewing the diagrams on which a particular data element was represented.