feat: add pypi release information to more packages

Author: mstimberg

simtools/BMTK.yaml

@@ -17,6 +17,9 @@ summary: |
 
   The BMTK was developed and is supported at the Allen Institute for Brain Science and released under a BSD 3-clause license.
   We encourage others to use the BMTK for their own research, and suggestions and contributions to the BMTK are welcome.
+release:
+  source: pypi
+  package_name: bmtk
 urls:
     homepage: https://alleninstitute.github.io/bmtk/
 relations:

simtools/BluePyOpt.yaml

@@ -9,6 +9,9 @@ summary: |
   This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.
 
   Further, BluePyOpt provides methods for setting up both small- and large-scale optimisations on a variety of platforms, ranging from laptops to Linux clusters and cloud-based compute infrastructures.
+release:
+  source: pypi
+  package_name: bluepyopt
 urls:
   homepage: https://bluepyopt.readthedocs.io
 relations:

simtools/Brain-Scaffold-Builder.yaml

@@ -12,6 +12,9 @@ summary: |
   This way, by implementing our component interfaces and declaring them in a configuration file, most models end up being code-free, well-parametrized, self-contained, human-readable, multi-scale models!
 urls:
   homepage: https://bsb.readthedocs.io
+release:
+  source: pypi
+  package_name: bsb
 relations:
   - name: Neuron
     description: simulates with

simtools/MOOSE.yaml

@@ -17,6 +17,9 @@ urls:
   homepage: https://moose.ncbs.res.in/
   source: https://github.com/BhallaLab/moose
   documentation: https://moose.ncbs.res.in/readthedocs/index.html
+release:
+  source: pypi
+  package_name: pymoose
 relations:
   - name: NeuroML
     description: can import, can export to

simtools/NEST-Desktop.yaml

@@ -10,6 +10,9 @@ urls:
   homepage: https://nest-desktop.readthedocs.io
   documentation: https://nest-desktop.readthedocs.io
   source: https://github.com/nest-desktop/nest-desktop
+release:
+  source: pypi
+  package_name: nest-desktop
 relations:
   - name: NEST
     description: is GUI for

simtools/NESTML.yaml

@@ -4,6 +4,9 @@ operating_system: Linux, MacOS, Windows
 interface_language: Python
 summary: |
   NESTML is a domain-specific language for neuron and synapse models. These dynamical models can be used in simulations of brain activity on several platforms, in particular the NEST Simulator. NESTML combines an easy to understand, yet powerful syntax; a flexible processing toolchain, written in Python; and good simulation performance by means of code generation (C++ for NEST Simulator).
+release:
+  source: pypi
+  package_name: nestml
 urls:
   homepage: https://nestml.readthedocs.org/
   source: https://github.com/nest/nestml/

simtools/NetPyNE.yaml

@@ -5,6 +5,9 @@ interface_language: Python, GUI
 model_description_language: NeuroML/LEMS
 summary: |
   NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator.
+release:
+  source: pypi
+  package_name: netpyne
 urls:
   homepage: http://www.netpyne.org/
   installation: https://www.netpyne.org/documentation/installation

simtools/Neuron.yaml

@@ -8,6 +8,9 @@ model_description_language: NMODL, HOC
 summary: |
   NEURON is a simulator for neurons and networks of neurons that runs efficiently on your local machine, in the cloud, or on an HPC.
   Build and simulate models using Python, HOC, and/or NEURON's graphical interface.
+release:
+  source: pypi
+  package_name: neuron
 urls:
   homepage: https://neuron.yale.edu/neuron/
   installation: https://nrn.readthedocs.io/en/latest/install/install.html

simtools/PyNN.yaml

@@ -14,6 +14,9 @@ summary: |
 
   Even if you don't wish to run simulations on multiple simulators, you may benefit from writing your simulation code using PyNN's powerful, high-level interface.
   In this case, you can use any neuron or synapse model supported by your simulator, and are not restricted to the standard models.
+release:
+  source: pypi
+  package_name: PyNN
 urls:
   homepage: http://neuralensemble.org/PyNN/
   source: https://github.com/NeuralEnsemble/PyNN/

simtools/PyNeuroML.yaml

@@ -11,6 +11,9 @@ urls:
   tutorial: https://docs.neuroml.org/Userdocs/GettingStarted.html
   source: https://github.com/NeuroML/pyNeuroML
   download: https://docs.neuroml.org/Userdocs/Software/pyNeuroML.html
+release:
+  source: pypi
+  package_name: pyneuroml
 relations:
   - name: NeuroML
     description: is Python package for