feat: mark packages as being on PyPI

Author: mstimberg

simtools/ANNarchy.yaml

@@ -6,6 +6,8 @@ processing_support: Single Machine, GPU
 interface_language: Python, C++
 summary: |
   ANNarchy (Artificial Neural Networks architect) is a neural simulator designed for distributed rate-coded or spiking neural networks. The core of the library is written in C++ and distributed using openMP or CUDA. It provides an interface in Python for the definition of the networks.
+release:
+  source: pypi
 urls:
   documentation: https://annarchy.readthedocs.io
   installation: https://annarchy.readthedocs.io/Installation.html

simtools/Arbor.yaml

@@ -14,6 +14,9 @@ summary: |
 
 
   Arbor is open source and openly developed, and we use development practices such as unit testing, continuous integration, and validation.
+release:
+  source: pypi
+  package_name: arbor
 urls:
   homepage: https://arbor-sim.org
   documentation: https://docs.arbor-sim.org

simtools/Brian.yaml

@@ -1,14 +1,18 @@
 name: Brian
 features: frontend, simulator
 operating_system: Linux, MacOS, Windows
-biological_level: Population Model, Single-Compartment (Simple) Model, Single-Compartment (Complex) Model, Multi-Compartment Model
+biological_level: Population Model, Single-Compartment (Simple) Model, Single-Compartment
+  (Complex) Model, Multi-Compartment Model
 processing_support: Single Machine, Cluster
 interface_language: Python
-summary: |
-  Brian is a free, open source simulator for spiking neural networks. It is written in the Python programming language
-  and is available on almost all platforms. We believe that a simulator should not only save the time of processors,
-  but also the time of scientists. Brian is therefore designed to be easy to learn and use, highly flexible and easily
-  extensible.
+summary: 'Brian is a free, open source simulator for spiking neural networks. It is
+  written in the Python programming language and is available on almost all platforms.
+  We believe that a simulator should not only save the time of processors, but also
+  the time of scientists. Brian is therefore designed to be easy to learn and use,
+  highly flexible and easily extensible. '
+release:
+  source: pypi
+  package_name: Brian2
 urls:
   homepage: https://briansimulator.org/
   documentation: https://brian2.readthedocs.io/

simtools/Brian2CUDA.yaml

@@ -8,6 +8,8 @@ summary: |
   It is an extension of the spiking neural network simulator Brian2, which allows flexible model definitions in
   Python. Brian2CUDA uses the code generation system from Brian2 to generate simulation code in C++/CUDA, which is
   then executed on NVIDIA GPUs.
+release:
+  source: pypi
 relations:
   - name: Brian
     description: simulates

simtools/Brian2GeNN.yaml

@@ -5,6 +5,8 @@ interface_language: Python
 summary: |
   Brian2GeNN connects Brian 2 to the GeNN simulator, so that users can make use of GeNN GPU acceleration when
   developing their models in Brian, without requiring any technical knowledge about GPUs, C++ or GeNN.
+release:
+  source: pypi
 relations:
   - name: Brian
     description: converts from

simtools/EDEN.yaml

@@ -6,6 +6,9 @@ processing_support: Single Machine, Cluster
 interface_language: CLI, Python
 summary: |
   Extensible Dynamics Engine for Networks (EDEN) is a high-performance NeuroML-based neural simulator.
+release:
+  source: pypi
+  package_name: eden-simulator
 urls:
     source: https://gitlab.com/c7859/neurocomputing-lab/Inferior_OliveEMC/eden
     installation: https://gitlab.com/c7859/neurocomputing-lab/Inferior_OliveEMC/eden/-/tree/main#installing

simtools/LFPy.yaml

@@ -5,6 +5,8 @@ interface_language: Python
 summary: |
   LFPy is a Python module for calculation of extracellular potentials from multicompartment neuron models.
   It relies on the NEURON simulator and uses the Python interface it provides.
+release:
+  source: pypi
 urls:
   homepage: https://lfpy.readthedocs.io/en/latest/
   documentation: https://lfpy.readthedocs.io/en/latest/