Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

visual environment for creating simulation experiments

Project description

http://github.enthought.com/blockcanvas

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.

Project details


Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page