Small utility to convert times between GPS epoch (midnight January 6, 1980) and Unix epoch (midnight January 1, 1970), taking into account leap seconds.
Some GPS time-related utilities.
Small utility in Typescript to convert times between GPS epoch (midnight January 6, 1980) and Unix epoch (midnight January 1, 1970), taking into account leap seconds.
Turns partial code location into precise code location
Cordova Geolocation Plugin
The Geolocation API provides simple methods for getting and tracking the current position of the device using GPS, along with altitude, heading, and speed information if available.
Removes GPS metadata from images and videos
An area code lookup tool. Query by phone number, or just export the entire list in object form.
Node module for computing distances between GPS coordinates
The RAW GPS NMEA parser library
Signal K server plugin to set system date & time on Signal K data, usually from a GPS
AI driver coach framework plugin for DataViewer.
Tool set for filtering gps data
A node.js module to find the timezone at specific gps coordinates
Format validation for Ajv v7+
Plugin that checks the vessel position to see if there's anchor drift
TypeScript definitions for d3-time
A calculator for humanity’s peculiar conventions of time.
An unified permissions API for NativeScript on iOS and Android.
Receive geolocation updates even while the app is in the background.
Extract meaning from JS Errors
NMEA 0183 GPS receiver driver for serialpilot — parses GGA/RMC/GSA/GSV, emits typed fix events.
Time zone support for date-fns v3 with the Intl API
date-fns timezone utils
COPC Temporal Index Extension reader for time-range filtering of point clouds
A high-resolution time library with instants taken from the GPS epoch.
Macros needed for ligo_hires_gps_time
This module calculate PVT by using raw observation obtained from a GPS receiver
TimezoneTeleporter anonymizes users' GPS coordinates by generating random coordinates in the same time zone. These new coordinates may be used then safely by 3rd party systems to process the users' location, without disclosing their actual physical position, providing more privacy, and anonymity to users.
Ruby gem for running and cycling calculations: pace, time, distance, unit conversions (30+ units), race predictions (Riegel & Cameron), GPS track analysis (Haversine, elevation gain, per-km splits), and VO2max estimation (Daniels & Gilbert).
Geoptima is a suite of applications for measuring and locating mobile/cellular subscriber experience on GPS enabled smartphones. It is produced by AmanziTel AB in Helsingborg, Sweden, and supports many phone manufacturers, with free downloads from the various app stores, markets or marketplaces. This Ruby library is capable of reading the JSON format files produced by these phones and reformating them as CSV, GPX and PNG for further analysis in Excel. This is a simple and independent way of analysing the data, when compared to the full-featured analysis applications and servers available from AmanziTel. If you want to analyse a limited amount of data in excel, or with Ruby, then this GEM might be for you. If you want to analyse large amounts of data, from many subscribers, or over long periods of time then rather consider the NetView and Customer IQ applications from AmanziTel at www.amanzitel.com. Current features available in the library and the show_geoptima command: * Import one or many JSON files * Organize data by device id (IMEI) into datasets * Split by event type * Time ordering and time correlation (associate data from one event to another): ** Add GPS locations to other events (time window and interpolation algorithms) ** Add signal strenth, battery level, etc. to other events * Export event tables to CSV format for further processing in excel * Make and export GPS traces in GPX and PNG format for simple map reports The amount of data possible to process is limited by memory, since all data is imported in ruby data structures for procssing. If you need to process larger amounts of data, you will need a database-driven approach, like that provided by AmanziTel's NetView and Customer IQ solutions. This Ruby gem is actually used by parts of the data pre-processing chain of 'Customer IQ', but it not used by the main database and statistics engine that generates the reports.
PostRunner is an application to manage FIT files such as those produced by Garmin products like the Forerunner 620 (FR620), Forerunner 25 (FR25), Fenix 3, Fenix 3HR, Fenix 5 (S and X). It allows you to import the files from the device and analyze the data. In addition to the common features like plotting pace, heart rates, elevation and other captured values it also provides a heart rate variability (HRV) and sleep analysis. It can also update satellite orbit prediction (EPO) data on the device to speed-up GPS fix times. It is an offline alternative to Garmin Connect. The software has been developed and tested on Linux but should work on other operating systems as well.
My SAKURA gem with various utilities. This is my swiss-army knife for Linux and Mac. See README.md for amazing examples, like: richelp ubuntu # shows a richelp of my 'ubuntu' cheatsheet richelp sakura synopsis # shows a richelp of my 'sakura' cheatsheet, grepping for 'synopsis' ls | act # randomly scrambles the lines! Taken from cat/atc ;) ps | rainbow # colors all lines differently twice itunes - # lowers volume of iTunes... twice :) 10 echo Bart Simpson likes it DRY # tells you this 10 times. Very sarcastic script! seq 100 | 1suN 7 # prints every 7th element of the list zombies # prints processes that show zombies (plus funny options to kill them) find . -size +300M | xargs mvto /tmp/bigfiles/ # moves big files to that directory alias gp='never_as_root git pull' # only if u r not root it runs! tellme-time # Tells you the time with Riccardo voice in Italian. Brilliant! find-duplicates . # Tells you files with same size/MD5 in this directory facter is_google_vm # Tells if it's a GCE Virtual Machine
Command-line tool that automatises photo/video uploads to Flickr. Entering 'flickru <directory>' in your command line, any photos under 'directory' (and subdirs) are uploaded to your Flickr account (interactively entered the first time you start flickru). Photos are identified by case-insensitive extensions: GIF, JPEG, JPG, PNG, and TIFF. Videos are identified by case-insensitive extensions: AVI, MPEG, and MPG. flickru automatically sets the following Flickr metadata: (1) date taken: file last-modification time, unless JPEG/TIFF Exif metadatum 'date_time_original' is found (Flickr understands it natively). (2) privacy policy: private, visible by friends & family, hidden for public searches (3) safety level: safe (4) permissions: friends & family can add comments to the photo and its notes; nobody can add notes and tags to the photo (5) description: for videos longer than 90s (Flickr's longest allowed duration) but shorter than 500MB (Flickr's maximum permisible size), it will contain an annotation about its large duration. (6) title: extracted from the parent directory name (7) geolocation & accuracy: extracted from the parent directory name, unless JPEG/TIFF Exif GPS metadata is found (Flickr understands them natively). Before uploading photos, please, make sure that you have correctly named each photos parent directory according to the name format 'TITLE[@LOCATION[#PRECISION]]', where: (1) TITLE is the desired title for the photos stored in the directory. If no LOCATION is given, flickru tries to extract the location from Wikipedia page TITLE. (2) LOCATION is the location of the photos, specified as: (a) the Wikipedia page name (whitespaces allowed) of the location or (b) its coordinates LATITUDE,LONGITUDE (3) PRECISION is the Flickr geolocation precision. Flickru sets it to one of the following case insentitive literals: 'street', 'city', 'region', 'country', 'world'. Photos are classified into photosets. If the photoset does not exist, flickru creates it. This photoset is named after its grandparent directory. The photoset is arranged by 'date taken' (older first). To see some examples on the directory structure recognised by flickru, please explore the subdirectories under 'var/ts'. GitHub : http://github.com/jesuspv/flickru RubyGems: http://rubygems.org/gems/flickru
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