See how creators are answering everyday questions with open data
Find examples of open data in action and gain inspiration for projects of your own
Welcome to the NYC Open Data Project Gallery!
On the Open Data Project Gallery, you can find examples of open data in action and gain inspiration for projects of your own. See how NYC Open Data is used by activists to advocate for change, by entrepreneurs to develop products, by teachers to build analytics skills in the classroom, by government agencies to make data more accessible, and much more.
We’re always looking to publish projects highlighting NYC Open Data in action and encourage you to share your work by submitting it to the Project Gallery!
The Project Gallery encourages a diverse array of submissions – visualizations, tools, tutorials, and much more. The best projects meet one or more of the following criteria:
- Does the project improve upon a user’s ability to understand a specific NYC Open Data dataset?
- Does the project help New Yorkers answer a question or solve a problem using NYC Open Data datasets?
- Does the project feature compelling and user-friendly visuals and design ?
- Does the project engage with an NYC Open Data dataset using a novel format or perspective?
- Does the project provide an instructional overview, share code, or explain design choices of the analytics work behind it?
Note that a submission does not need to meet every criteria in order to be considered for publication, but all projects must use NYC Open Data.
Using NYC Open Data for a project? Share your work, and we might publish it in our gallery below.
This project allows users to visualize building lot and zoning data in order to facilitate architecture and real estate development. Users can review city-wide zoning data, then zoom into addresses to query neighborhood, district, lot, and building information.
This project allows users to search and view New York City restaurant violations using data published by the NYC Department of Health and Mental Hygiene (DOHMH).
This project aims to offer a portrait of civic life by presenting the written observations of the 2018 Central Park Squirrel Census through a geographically-based “found poetry engine.”
This site provides access to the most relevant data about candidates currently active on a civil service list while offering an intuitive and user-friendly experience.
This project allows users to visualize trends in names across time and among racial groups, and explore novel techniques in data visualization using multiple sensory outputs.
Sidewalk Widths NYC was created to give an impression of how sidewalk widths impact the ability of pedestrians to practice social distancing.
Crashmapper allows a user to create a customized filter of any area and track it over time to see the impact of Vision Zero improvements on a corridor. Users can compare two selected areas’ performance against each other and to a citywide or borough-wide reference, while filtering by date range or type of crash.
The NYC Boundaries Map is a tool for viewing and querying overlapping administrative boundaries in NYC.
Built by Coding for Impact, NYC Connector is a project which allows users to easily find and locate places near them where they can volunteer at, donate to, or find help at. Enter a zip code or address and nearby resources, along with information will be displayed on the map.
This is a data visualization made out of the statistics showing how many, and more importantly, from where, NYC high school students go on to study higher education.
The app leverages the complaints in this data set to understand what life is truly like in New York City, as told, albeit, indirectly from the people themselves. It’s a deep dive into the top most frequent complaints to understand life in NYC.
The “Map Community Resources” tool is the most recent addition to the Keeping Track Online platform—a database housing hundreds of indicators of child well-being in New York City.
How much of a problem is school bullying in NYC? The answer depends on who you ask. We compared local surveys with federal data, and talked with researchers, advocates, and journalists to better understand these disparities.
BoardStat is an interactive tool for community boards that empowers users; it was designed with community board for community boards, and empowers them to gain timely insights.
Open Sewer Atlas NYC is a unique community planning project with the goal of creating transparency into the confusing world of NYC’s sewer system. The project uses publicly available maps and data to display a more complete picture of how NYC’s sewer system works.
This project allows people to look at the rates of stop, question, and frisk actions in NYC by race/ethnicity, as well as see the exact location of each stop over the course of 2003 to 2016 in an interactive visualization.
Geopipe automatically reconstructs semantically rich virtual 3D models of the real world for simulations, gaming, and architecture.
JailVizNYC is an interactive dashboard that allows people to easily filter the data, view population trends, and explore the charges holding people in jail. It can help identify where reforms are needed at arrest or arraignment and during case processing or sentencing to reduce the jail population.
Using data provided by NYC Open Data, this visualization shows the variety and quantity of street trees in all five New York City boroughs.
PBNYC-curious community members can use their smartphone to find a variety of resources and information about Participatory Budgeting in NYC!
We wanted to explore how we can use data to better understand and define communities of people, going beyond spatial borders.
The audience was students in an urban-planning themed honors seminar (“Seminar 4: Shaping the Future of New York City”). The project assumes students have already built choropleth maps and focused on data wrangling.
The goal was to introduce to choropleth maps, so that we could use the tool with more complex data sets. The audience was students in an urban-planning themed honors seminar.
This project looks at hotspots of where people went after the Gay Pride parade in New York City. We use an algorithm called DBSCAN to find clusters of taxi drop-offs from people being picked up around the parade.