This repository hosts the User Interface for NetPyNE. NetPyNE is a python package to facilitate the development, parallel simulation and analysis of biological neuronal networks using the NEURON simulator.
Install NetPyNE User Interface
Select one option to install the NetPyNE User Interface.
If you are familiar with NEURON and have already NEURON installed in your machine you can proceed using Pip. If you want a container which comes with everything preinstalled including NEURON you can use the Docker image. Using docker you will still be able to mount a local folder which will be your NetPyNE workspace. If you don't have docker installed in your system and you have had troubles installing it you can opt for the Virtual Machine installation.
Install NetPyNE User Interface from sources (for developers)
We recommend the use of a new python 3 virtual environment:
python3 -m venv npenv source npenv/bin/activate
Or, with conda
conda create -n netpyne python=3.7 conda activate netpyne
Run install script
For debugging you can use
Run NetPyNE User Interface in Docker
Ensure that you have Docker installed on your system.
Build the image
docker build -t netpyne-ui .
Run the image
docker run -p 8888:8888 netpyne-ui
End-to-end tests are located in
tests/deployment/frontend/e2e. Ensure that the application is running in a blank
state, since end-to-end tests interact with the running application.
cd tests/frontend/e2e npm install
npm run test
You can also use
docker-compose to run the tests. Ensure that you have Docker installed on your system.
Build the images
cd tests/deployment sh build.sh
Run the tests
docker-compose up --abort-on-container-exit --exit-code-from netpyne-ui-e2e