There are 2 repositories under bikeshare topic.
The world's first low-cost and open source bike sharing system. (new version in development, use working "breakthrough" release instead!)
Multicycles.org aggregates on one map, more than 300 share vehicles like bikes, scooters, mopeds and cars. Demo APP for the Data Flow API, see https://flow.fluctuo.com
This is the public repository of the MADBike app for iOS. Public bike rental service for BiciMAD.
A web-based, unified, interactive bike map for NYC that combines information from NYC OpenData, Citi Bike and other sources.
The canonical GBFS validator. Maintained by the GBFS community, facilitated by MobilityData.
Clean Air Council Circuit Trip Planner and Travelshed
Explore DC micromobility service (bikeshare and scooters) availability by neighborhood.
Analysis and visualization of Citi Bike data
A slim and low-network-use mobile web app for many common bike sharing systems.
C# client for General Bikeshare Feed Specification (GBFS)
Python3 library for working with the Philadelphia Indego Bike Share API
OpenFaaS function for BikeshareClient
Philadelphia Indego Bicycle Stations
🚲A JavaScript wrapper for the Mobike API
Multi-modal trip planner for the Greater Philadelphia area, featuring local destinations
Code and example data underpinning paper on the social and spatial distribution of cycle hire scheme provision and use
A chrome extension that gives you insights into your Toronto Bike Share Data
An analysis of the Bikeshare data using python, SQL, GCP, and BigQuery.
Explore US bikeshare data to find out how these bike-sharing systems are used
FOSSCON Indego Presentation / Cycling Through The Indego Bike-Share API
Udacity Project Bikeshare Data
In this project, the dataset provided by Motivate (https://www.motivateco.com/), a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. It is designed to be interactive and allows you to compare usage between three large cities: Chicago, New York City, and Washington, DC.
Using Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington
Data Bomberas Nicole Eickhoff & Natalie Olivo
Analyzing the bike-share data of US from Motivate, for three popular cities Washington, New York, and Chicago and showing statistics for different users, stations, and times of travel. Also filters the data sets according to the user's choice and shows statistics on the filtered data.
Collect and pre-process historical trip data from major bike sharing companies
This repository contains Python scripts that download and analyze data from the Citibike bike-sharing system in New York City.