A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience

```
pip install --upgrade pyneuroml
```

#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
pyneuroml.swc package — PyNeuroML pyNeuroML documentation

Version 1.2.0 of #pyNeuroML, the #Python package for working with #NeuroML models, has been released, brings more bugfixes and better support for #SBML

https://github.com/NeuroML/pyNeuroML/releases/tag/v1.2.0

#NeuroML #ComputationalNeuroscience #Neuroscience #Standardisation #FAIR

Release v1.2.0 · NeuroML/pyNeuroML

What's Changed Improve default positioning of legend on plots by @pgleeson in #301 Updated jnml jar with SED-ML file writing by @pgleeson in #302 Adds util method to generate simulation scripts in...

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