Difference between revisions of "BlockCanvas"
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|Short description=a visual environment for creating simulation experiments, where function and data are separated. | |Short description=a visual environment for creating simulation experiments, where function and data are separated. | ||
|Full description=The BlockCanvas project provides a visual environment for creating simulation experiments, where function and data are separated. Thus, you can define your simulation algorithm by visually connecting function blocks into a data flow network, and then run it with various data sets (known as "contexts"); likewise, you can use the same context in a different functional simulation. The project provides support for plotting, function searching and inspection, and optimization. It includes a stand-alone application that demonstrates the block-canvas environment, but the same functionality can be incorporated into other applications. The BlockCanvas project relies on included libraries that allow multiple data sets using Numeric arrays to be incorporated in a Traits-based model in a way that is simple, fast, efficient, and consistent. | |Full description=The BlockCanvas project provides a visual environment for creating simulation experiments, where function and data are separated. Thus, you can define your simulation algorithm by visually connecting function blocks into a data flow network, and then run it with various data sets (known as "contexts"); likewise, you can use the same context in a different functional simulation. The project provides support for plotting, function searching and inspection, and optimization. It includes a stand-alone application that demonstrates the block-canvas environment, but the same functionality can be incorporated into other applications. The BlockCanvas project relies on included libraries that allow multiple data sets using Numeric arrays to be incorporated in a Traits-based model in a way that is simple, fast, efficient, and consistent. | ||
| + | |Homepage URL=https://github.com/enthought/blockcanvas | ||
|User level=advanced | |User level=advanced | ||
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|Computer languages=C,Python | |Computer languages=C,Python | ||
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|Related projects=CodeTools | |Related projects=CodeTools | ||
|Keywords=data,simulation,function,visual,visualization,algorithm,Data visualization,data set | |Keywords=data,simulation,function,visual,visualization,algorithm,Data visualization,data set | ||
| − | | | + | |Version identifier=4.0.3 |
| − | |Last review by= | + | |Version date=2013/03/28 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://github.com/enthought/blockcanvas/archive/4.0.3.tar.gz | ||
| + | |Last review by=Alejandroindependiente | ||
| + | |Last review date=2016/12/27 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
| − | | | + | |Status= |
| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2009-08-06 |
| − | | | + | }} |
| + | {{Project license | ||
| + | |License=BSD_3Clause | ||
| + | |License verified by=Kelly Hopkins | ||
| + | |License verified date=2009-08-06 | ||
| + | }} | ||
| + | {{Project license | ||
| + | |License=LGPLv2.1 | ||
| + | |License verified by=Kelly Hopkins | ||
|License verified date=2009-08-06 | |License verified date=2009-08-06 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=ETS Developers | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=enthought-dev@enthought.com | |Email=enthought-dev@enthought.com | ||
|Resource URL= | |Resource URL= | ||
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}} | }} | ||
{{Software category | {{Software category | ||
| − | |Interface=console,library,x-window-system | + | |Interface=console, library, x-window-system |
|Science=scientific-visualization | |Science=scientific-visualization | ||
|Use=science | |Use=science | ||
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Latest revision as of 19:25, 27 December 2016
BlockCanvas
https://github.com/enthought/blockcanvas
a visual environment for creating simulation experiments, where function and data are separated.
The BlockCanvas project provides a visual environment for creating simulation experiments, where function and data are separated. Thus, you can define your simulation algorithm by visually connecting function blocks into a data flow network, and then run it with various data sets (known as "contexts"); likewise, you can use the same context in a different functional simulation. The project provides support for plotting, function searching and inspection, and optimization. It includes a stand-alone application that demonstrates the block-canvas environment, but the same functionality can be incorporated into other applications. The BlockCanvas project relies on included libraries that allow multiple data sets using Numeric arrays to be incorporated in a Traits-based model in a way that is simple, fast, efficient, and consistent.
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| ETS Developers | Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Developer | Homepage | http://pypi.python.org/pypi/BlockCanvas/3.1.0 |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.