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This release is a pre-release and may not be stable for production use.

The Model Container is used as an abstraction layer on top of a simulator and deals with biological entities and end-user concepts instead of mathematical equations. It provides a solver independent internal storage format for models that allows user independent optimizations of the numerical core. By containing the biological model, the Model Container makes the implementation of the numerical core independent of software implementation. The Model Container API abstracts away all the mathematical and computational details of the simulator. Optimized to store large models in little memory it stores neuronal models in a fraction of the memory that would be used by conventional simulators and provides automatic partitioning of the model such that simulations can be run in parallel. From the modeler’s perspective, the Model Container will be able to import and export NeuroML files to facilitate model exchange and ideas.

Release files for model-container 0.0.0-alpha

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for model-container 0.0.0-alpha
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model_container-0.0.0_alpha-py2.6-macosx-10.3-fat.egg Legacy Egg format - - Details
model_container-0.0.0_alpha-py2.6-linux-i686.egg Legacy Egg format - - Details
model_container-0.0.0_alpha-py2.5-macosx-10.6-i386.egg Legacy Egg format - - Details
model_container-0.0.0_alpha-py2.5-linux-i686.egg Legacy Egg format - - Details

Total release size: 8.3 MB

Release files / model_container-0.0.0_alpha-py2.6-macosx-10.3-fat.egg

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Size 1.0 MB
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Release files / model_container-0.0.0_alpha-py2.6-linux-i686.egg

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Size 3.4 MB
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Release files / model_container-0.0.0_alpha-py2.5-macosx-10.6-i386.egg

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Size 526.3 kB
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Release files / model_container-0.0.0_alpha-py2.5-linux-i686.egg

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Size 3.3 MB
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