Project Gallery

A list of websites, publications, apps, and more using Toronto Open Data.

The City of Toronto does not imply approval of the listed projects, warrant the accuracy of any information set out in those projects, or endorse any opinions expressed therein or any goods or services offered thereby. All web sites listed here operate under the auspices and at the direction of their respective owners.

88 items found

311 Toronto Time Series Segmentation Analysis

By Tom Wolfer

What areas (defined by FSAs) for Toronto have experienced a dramatically increase level of demand on which City of Toronto services (defined by City of Toronto divisions as per 311 Toronto Customer Initiated Service Request Data from m2010-2024 inclusive.

Modeling Spatial Accessibility to Parks

By Rajesh Dulal

This project uses a population-weighted distance model to move beyond simple park counts, providing a more accurate map of how accessible green spaces truly are to Toronto residents at the neighborhood level.

Busferret

By Oben Hum

Busferret is a data-efficient, intuitive tracking tool that provides real-time TTC vehicle locations to help commuters with limited mobile data plans navigate inconsistent arrival estimates

SafePassage - The Wildlife Aware Navigation Data Feed

By Andrew Bacchus

SafePassage converts static 311 wildlife report data into a dynamic API that pushes real-time "High Wildlife Activity" alerts directly to navigation apps like Google Maps and Waze.

Toronto Pulse

By Patrick Colucci

Featured Project

Toronto Pulse presents a model for how open data can help the city evaluate pressure points, understand cross-system impacts, and explore simple planning scenarios.

Better My City

By Arushi Nath

Runner Up

Solution Better My City is a youth-built reporting app that uses AI and mobile photography to help students easily report public infrastructure issues, and receive guidance on additional ways to get problems resolved.

Transit Headway Management Platform for Real-Time Reliability Control

By Interactive-OR Lab

Award Winner

Bus Bunching Correction Pilot: In collaboration with the Toronto Transit Commission (TTC), this headway management pilot on six routes in Toronto to reduce bus bunching (when buses scheduled at even intervals arrive in quick succession) and gapping.

CKAN MCP Server

By Ruchir Attri

Runner Up

The CKAN MCP Server is a Model Context Protocol (MCP) server designed to bridge the gap between AI agents and Open Data portals, specifically the Toronto Open Data portal. It allows AI assistants to autonomously search, discover, and analyze datasets.

Dine Safely

By Sean Power

The app aims to serve a broad and diverse population by providing simple, mobile-first access to City of Toronto health inspection data, especially in moments when decisions about where to eat are being made.

Toronto Spends

By Ajay Matharoo

Featured Project

Canada Spends is a platform to make government spending more transparent. We take raw data and transform it into easy to understand facts for Canadians.

TTC Delay Insights

By Asha Asvathaman

Featured Project

Explore how data can make Toronto’s subway delays transparent, visual, and actionable.

Go Skate Toronto

By Yitzchok Gray

View live schedules for Toronto's indoor and outdoor rinks - all in one place.