Note: this project was originally published by John Capobianco at https://github.com/automateyournetwork/jupyter. I took the idea and refactored it massively. In fact, the code is now almost 100% different from the original version which made me put it into a new repository of myself.
Using various APIs, this program collects JSON data and then uses Jinja2 templates to create a single markdown file. Using the markmap VS Code extension, this markdown file then renders as a mind map!
Please visit the NASA API website and register for an
API key. Once you have your key you need to either pass it to the program with
the --token command line parameter or you need to export it as TOKEN in your
environment.
The "fast" APIs (if no specific parameters are provided to the command) will work without a valid API token.
It's also possible to use the string DEMO_KEY as the API key which does have
some very limited daily use restrictions but can be used right away without
registration.
Use the Markmap extension for VSCode to render markdown files as a mind map. Search for "markmap"... Source is here.
The "Token" column identifies APIs which require a NASA API token.
$ apimaps --list-apis
API Token Description
----------------------------------------
iss ISS Location
people People in Space
wom + Weather on Mars
apod + Astronomy Picture of the Day
cme + Coronal Mass Ejection
neo + Asteroids Near Earth Objects
gst + Geomagnetic Storms
ips + Interplanetary Shock
flr + Solar Flare
sep + Solar Energetic Particle
mpc + Magnetopause Crossing
rbe + Radiation Belt Enhancement
hss + High Speed Streams
notify + Notifications
natural Natural Events
epic + Earth Polychromatic Imaging Camera
count Known Celestial Body Count
bodies Bodies
wsa + WSA+EnlilSimulation
$