semvec/pypi-packages huggingface dataset:
projectneutron-frontend 0.4
Revmo backend
Requires Python: >=3.7

# Project Neutron

v0.4
The Revmo Ingestion and Computation engine. 
Code by @fadesibert using early CSVs

To run:

git clone fadesibert/projectneutron

./install.sh

./revmo.sh

There are some tweakable arguments in both install.sh and revmo.sh - based on whether you want to download metadata, use the example data etc.
The example CSV in input/graphs (copied from src/example-data/graphs) gives you the CSV filename and structure.

Requires: 
* Docker (and a runnable Docker neo4j image - but this can be autoconfigured for you)
* Some sample CSV data (or VCFs)
* various python libraries - which are by default autoinstalled for you. Best to have a clean venv when you run the script - though we can add that to the install script if needed

###There are now interactive APIs###
If you run the installer (installs demo data) and then revmo.sh - you should have a working docker environment to launch
the API from.

You can then run the webserver with
`gunicorn wsgi:app -w 4 -k uvicorn.workers.UvicornWorker`

and navigate to localhost:8000/redoc to see the API docs and query
your sample database
projectneutron 0.4
Revmo backend
Requires Python: >=3.7

# Project Neutron

v0.4
The Revmo Ingestion and Computation engine. 
Code by @fadesibert using early CSVs

To run:

git clone fadesibert/projectneutron

./install.sh

./revmo.sh

There are some tweakable arguments in both install.sh and revmo.sh - based on whether you want to download metadata, use the example data etc.
The example CSV in input/graphs (copied from src/example-data/graphs) gives you the CSV filename and structure.

Requires: 
* Docker (and a runnable Docker neo4j image - but this can be autoconfigured for you)
* Some sample CSV data (or VCFs)
* various python libraries - which are by default autoinstalled for you. Best to have a clean venv when you run the script - though we can add that to the install script if needed

###There are now interactive APIs###
If you run the installer (installs demo data) and then revmo.sh - you should have a working docker environment to launch
the API from.

You can then run the webserver with
`gunicorn wsgi:app -w 4 -k uvicorn.workers.UvicornWorker`

and navigate to localhost:8000/redoc to see the API docs and query
your sample database
django-aws-utils 1.0.0
Helpers for deploying Django on AWS
Requires Python: >=3.6

Django AWS Utils
================

|Docs badge| |Style badge| |License badge|

This is a package of utilities that aim to help with Django deployment on AWS.

See `the main documentation site <http://django-aws-utils.rtfd.io/>`_ for details.

Usage
-----

The package is available on PyPI.

.. code-block::

    pip install django-aws-utils

Then import the functions you need:

.. code-block::

    from django_aws_utils import get_ec2_ip

    ALLOWED_HOSTS = [
        get_ec2_ip(),
        "myapp.my.domain.com",
    ]

License
-------

This project is released under the terms of the "New" BSD 3-Clause license.
Please see `LICENSE <LICENSE>`_ for the full licence text.


Related projects
----------------

* `django-storages <https://django-storages.readthedocs.io/en/latest/>`_ for using S3 as storage backend
* `django-iam-dbauth <https://github.com/labd/django-iam-dbauth>`_ for using IAM authentication with AWS RDS

.. |Style badge| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/python/black
.. |License badge| image:: https://img.shields.io/github/license/vladvasiliu/django-aws-utils.svg
   :target: LICENSE
.. |Docs badge| image:: https://readthedocs.org/projects/django-aws-utils/badge/?version=latest
   :target: https://django-aws-utils.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status