A manually curated list of Open Government Data portals, websites, APIs, tools and other related resources in Switzerland. Relevant links to international websites are listed as well.
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Updated
Jan 8, 2026 - Python
A manually curated list of Open Government Data portals, websites, APIs, tools and other related resources in Switzerland. Relevant links to international websites are listed as well.
PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and feature extraction.
A curated list of datasets with trajectories of different kinds
Data from 267 bike sharing schemes across Europe - 43 million km & 88000 bikes
Where to build new bicycle parking spots in Paris? Supporting data-driven decision making with open data
Repo for the Bikestream project (aka Databike Pilot Project)
Code, logs, and final models for SIGSPATIAL SpatialEpi '22: Spatiotemporal Disease Case Prediction using Contrastive Predictive Coding.
EmergencyAct uses surveillance cameras to detect accidents and emergencies in real-time, providing essential insights and support.
Sistema que integra los datos de transporte urbano de Montevideo a través de una REST API, utilizando PostgreSQL + PostGIS para el manejo y análisis de datos espaciales.
Locust mqtt simulations
A simple data web app mapping Electric Vehicle (EV) Charging stations in Kenya
Python Client for Chicago Transit Authority
A data warehouse that integrates mobility data from Beijing and Hannover with context data (weather, economics etc.)
Pipeline to load mobility data from S3 to Redshift, calculate trips and to derive metrics.
Generating (divergent) bar plots of attitudes towards transport policy in Switzerland from the Mobility and Transport Microcensus (MTMC)
Accompanying material (source code and data) for reproducibility purposes of the paper titled "MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models", submitted to GeoInformatica (Special Issue on BMDA 2025).
Urban Taxi Travel Time Intelligence (UTTI) A data science and machine learning project that builds an end-to-end pipeline for analyzing and predicting NYC taxi travel times using PostgreSQL, exploratory data analysis, and gradient boosting models (LightGBM). Focuses on realistic evaluation, uncertainty estimation, and production-ready ML practices.
Mobile Visitation Data Analysis for Optimized Black Friday & Cyber Monday Shopping
A deep learning model based on reinforcement learning to construct pathlet dictionaries.
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