Asterank is a platform for developers interested in space. It includes 3D visualizations and APIs for many data sources, including NASA/JPL Horizons, NASA SkyMorph/NEAT sky survey imagery, the Kepler Project, and the Minor Planet Center.

The main purpose of Asterank (www.asterank.com) is to make space-related data readily accessible to the public. Another goal of the site is to educate and inspire by demonstrating the importance of asteroid discovery and exploration. Using publicly available data and scientific papers, it evaluates the economic prospects of mining nearly 600,000 cataloged asteroids. It also provides accurate interactive visualizations of our inner solar system and Near-Earth Asteroids (NEAs).

Asterank has been featured by BBC News, Popular Science, and other media.

Asterank is configured to run with virtualenv. Virtual environment setup:

1. Install virtualenv for python, eg. on debian:

```
sudo apt-get install python-virtualenv
```

2. Enter the Asterank directory. Then, create the virtual environment and install packages:

```
virtualenv  venv
source venv/bin/activate
pip install -r requirements.txt
```

3. The web app requires mongodb. sudo apt-get install mongodb.

4. The main app is a Flask web application. You should be able to run it now.

```
./v2/web/app.py
```

You'll quickly notice that there's no data. Continue reading for instructions on how to import data.

data/pipeline folder contains the scrapers used to aggregate and build the database and associated APIs.

Pipeline tasks are folders in the pipeline/run directory and are executed in increasing order. tasks with the same numeric prefix may be run in parallel.

To execute the pipeline, simply run ./pipeline. To execute a specific task, run eg. ./pipeline 00_mytask, where 00_mytask matches a directory. In order to run Asterank, you at least need to run steps 00_deltav and 10_sbdb.

Sky survey data is scraped from NEAT. The process is generally three steps per asteroid:

1. Collect asteroid observations and group them into nearby observations (within ~30 min of one another).

2. Fetch images corresponding to each image group.

3. Compute/extract astrometry from the image. We use the open-source library available at astrometry.net.

Note that sky survey data depends on redis: sudo apt-get install redis-server.

All this happens in v2/stackblink. In data/astrometry there are scripts available to help you bootstrap your astrometry setup.

1. Fork this repository
2. Make changes
3. Create a pull request to this github repository

If you think you might like to contribute, feel free to contact me! ianw_asterank at ianww.com.

See github issues.

Copyright (C) 2012 by Ian Webster (asterank.com)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.