AMenuire's Stars
d3/d3-hierarchy
2D layout algorithms for visualizing hierarchical data.
junzis/pyModeS
Python decoder for Mode S and ADS-B signals
brandon-rhodes/python-sgp4
Python version of the SGP4 satellite position library
python-metar/python-metar
a python package that parses coded METAR weather reports.
alexattia/Maps-Location-History
Get, Concatenate and Process you location history from Google Maps TimeLine
Medha11/Twitter-Trends
Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.
shobeir/GraphiPy
GraphiPy: Universal Social Data Extractor
xdevplatform/Gnip-Insights-Interface
Interface to Twitter's Engagement API
junzis/meteo-particle-model
Weather (wind and temperature) field reconstruction based on meteo-particle model using ADS-B and Mode-S data
emery123/GoogleTimelinetoMap
Turn a .JSON file into an aesthetically pleasing map using R
LourensT/googlemaps-timeline-heatmap
create a heatmapfrom your google maps timeline data
bafs84/gmap_analyzer
scripts to analyze your google maps timeline