AstroKit (http://www.astrokit.org/) provides web-based tools for asteroid characterization. It's supported by NASA.

Users (scientists, amateur astronomers) will upload sky imagery and receive astrometry, photometry, and light curve results derived from their images.

Install virtualenv (sudo apt-get install python-virtualenv on Debian/Ubuntu). Also install redis (sudo apt-get install redis-server).

Create a virtualenv in the astrokit directory: virtualenv venv.

Enter the environment (you'll have to do this each time you want to run astrokit in a new terminal): source venv/bin/activate

Install matplotlib system dependencies: sudo apt-get install libfreetype6-dev libxft-dev

Install scipy system dependencies: sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran libspatialindex-dev

Install numpy and scipy first (scikit bug): pip install numpy scipy

Install pip dependencies: pip install -r requirements.txt

Install node modules: npm install sass/

Compile sass files using gulp: cd sass && gulp build

[NOT NEEDED ANYMORE] Setup the astrometry analyzer: ./astrometry/setup/setup.sh. This will take some time.

Run the server: ./manage.py runserver.

Postgres is optional but used in production:

sudo apt-get install postgresql postgresql-server-dev-9.4

In your virtual environment...

python manage.py createsuperuser python manage.py migrate

Download IRAF: http://iraf.noao.edu/

Read the README: ftp://iraf.noao.edu/iraf/v216/README

sudo apt-get install csh

Put these statically linked binaries in your path:

ftp://iraf.noao.edu/pub/fitz/xgterm.STATIC ftp://iraf.noao.edu/pub/fitz/ximtool.STATIC

pip install numpy scipy scikit-image photuils sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran g++