Orange

Orange

University of Ljubljana
+
+

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About

Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that.

About

Simcenter Compose is a numerical computing environment from Siemens designed for custom mathematical data operations and CAE pre- and post-processing work. It allows engineers to perform a wide range of math operations, including linear algebra, matrix manipulation, statistics, differential equations, signal processing, control systems, polynomial fitting, and optimization. The software includes native CAE and test result readers that help users better understand systems and support model-based development. Simcenter Compose provides a user-friendly integrated development environment with all capabilities available in one multi-functional tool and no additional toolboxes required. Users can develop reusable scripts, automate repeated calculations, visualize results with 2D and 3D plots, and connect with OML, Octave, and Python environments. It can be used as a standalone tool or alongside other Simcenter products such as Simcenter Embed and Simcenter Twin Activate.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations interested in an open source machine learning and data visualization tool

Audience

Simcenter Compose is best suited for engineers, simulation specialists, CAE analysts, product development teams, and technical organizations that need numerical computing, scripting, data visualization, and model-based development support

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

University of Ljubljana
Slovenia
orange.biolab.si

Company Information

Siemens
Founded: 1847
Germany
www.siemens.com/en-us/products/simcenter/systems-simulation/compose/

Alternatives

DataMelt

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Alternatives

Simcenter Femap

Simcenter Femap

Siemens Digital Industries
Rapidminer

Rapidminer

Siemens
Simcenter X

Simcenter X

Siemens
RATH

RATH

Kanaries Data

Categories

Categories

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Integrations

Check Point IPS
Check Point Infinity
Oracle Big Data Discovery

Integrations

Check Point IPS
Check Point Infinity
Oracle Big Data Discovery
Claim Orange and update features and information
Claim Orange and update features and information
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