Making Toronto's democracy more accessible.
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Updated
Mar 30, 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.
Unofficial Pearson Airport API providing data on departing and arriving flights. Microservice architecture written with Node.js, Express, Python, MySQL, and Docker.
Project Explores Toronto Neighborhoods and Housing using a variety of data science and machine learning techniques.
An analysis of Toronto Paramedic Services' response times to determine its efficacy as an emergency service.
Maze is an Android app (Android Auto compatible) that helps drivers avoid parking violations in real time. Drive with Waze 👻, Park with Maze 🚔
🚗 TorontoParking: Revolutionizing 🌆 Toronto's parking game! Tap into open data, find
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
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.
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
Identified trends in Major Crime Indicators data to recommend crime reduction strategies.
This analysis looks at basement flooding and sewage service requests across Toronto wards from 2005 to 2023.
An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.
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.
Press a button and be shown a random Toronto street bench. Have a seat.
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