Making Toronto's democracy more accessible.
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Updated
May 14, 2026 - TypeScript
Making Toronto's democracy more accessible.
Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.
Bike Share Toronto 2021 Data Analysis & Interactive Visualization
A UI for the myttc.ca API, made with tailwind and jquery.
Project Explores Toronto Neighborhoods and Housing using a variety of data science and machine learning techniques.
Production-grade real-time transit analytics platform for Toronto TTC. Ingests GTFS Realtime feeds (vehicle positions & trip updates) every 30s, implements medallion architecture with MinIO data lake and Postgres warehouse. Airflow orchestration, Docker deployment. Built for analyzing delays, vehicle utilization, and service patterns.
Working repository for the study of the "Motor Vehicle Collisions Involving Killed or Seriously Injured Persons" database from Toronto Open Data.
An analysis of Toronto Paramedic Services' response times to determine its efficacy as an emergency service.
A prepared environment for beginners to start on data science(Python, Jupyter and Pandas), with code retrieving real time Covid-19 case open data, and sample plotting scripts.
Toronto bike share API library
🚗 TorontoParking: Revolutionizing 🌆 Toronto's parking game! Tap into open data, find
Maze is an Android app (Android Auto compatible) that helps drivers avoid parking violations in real time. Drive with Waze 👻, Park with Maze 🚔
Working repository for CrashPoint ETL, a pipeline for processing and analyzing traffic collisions involving killed or seriously injured (KSI) collisions from the City of Toronto
Statistical and geospatial analysis of Toronto Bike Share data and what it can tell us about the impact of changes to Toronto's bicycle infrastructure
Press a button and be shown a random Toronto street bench. Have a seat.
Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA
Notify drivers in range of Automated Speed Enforcement cameras in Toronto.
This is a repository for a research article published in the Journal of Responsible Technology (Elsevier). The article uses Machine Learning and Generative AI to compare how both technologies achieve a particular result in crime suspects exercises.
This analysis looks at basement flooding and sewage service requests across Toronto wards from 2005 to 2023.
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