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Alternatives

Products that do what I visualized the entire history of Citi Bike in the browser does

Each moving arrow represents one real bike ride out of 291 million, and if you've ever taken a Citi Bike before, you are included in this massive visualization! You can search for your ride using Cmd + K and your Citi Bike receipt, which should give you the time of your ride and start/end station. Everything is open source: https://github.com/freemanjiang/bikemap Some technical details: - No backend! Processed data is stored in parquet files on a Cloudflare CDN, and queried directly by DuckDB WASM - deck.gl w/ Mapbox for GPU-accelerated rendering of thousands of…

  1. 1BN

    -- Please refer to the main url: https://news.ycombinator.com/item?id=46530832

    Jan 2026 · github.com

  2. 2IM

    Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!

    2025 · jameshard.ing

  3. 3
    Bikemap187

    The world's largest cycle route collection 🚴

    2016

  4. 4
    UberStats226

    Visualize statistics on your years of Uber rides!

    2018

  5. 5AB

    I've created a web app for querying and visualization of ADS-B datasets: https://adsb.exposed/ Source code: https://github.com/ClickHouse/adsb.exposed/ The results significantly exceeded my expectations because the pictures are insanely beautiful, and the data is a treasure trove. It proves many statements that were not certain: - it is feasible to generate tiles by aggregation on a pixel level (instead of hexagons or rectangular grid); - it does not require JPG/PNG tiles - we can transfer raw bitmap data with zstd compression; - it is possible to…

    2024 · adsb.exposed

  6. 6IB

    This was something I built while trying to look for housing in Toronto that was decently transit-accessible to my office while still cheap. The backend is written in Rust. It parses public GTFS data from transit agencies and performs a simple heuristics-based BFS on the bus lines to calculate how long to reach all points in a city. The frontend uses React and Mapbox GL to render each individual road segment based on how long it takes to reach. This project was a great excuse to learn Rust, deployments, and mapping. The source code is here if you are interested:…

    2023 · map.henryn.xyz

  7. 7BR

    Hey guys, I built a route planner that is mostly focused on bike touring and using existing bike infrastructure. For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route. The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there. Currently the app only works for the Euro region but I'm planning to add North…

    2024 · trailimap.com

  8. 8TB

    In Switzerland PubliBike is a popular bike-sharing company. Thanks to its openly accessible API one can extrapolate the movements of these bikes around the cities. As a Christmas project I decided to collect this publicly available data and visualize the movement of bikes in the city of Zurich. Purple tracks are classic bikes, while blue tracks are electric bikes. I am not well versed with front-end development so I hope you will excuse the mediocre interface. Happy to take any questions, comments, feedback and thoughts. A good new year to all of you! GitHub repo:…

    2024 · publibikes.tibaldo.ch

  9. 9IA

    I recently added a Segments feature to the Hangtime mountain biking app for Android and IOS. If you are familiar with Strava’s segments, this new feature works much the same. For example, you can add a segment to an existing recorded ride by simply defining a start and end point for the segment. Once the segment is created, it will match any new rides, and optionally “back match” all previous rides. If a segment matches a ride, you you will see your time to complete that segment as well as your personal record (PR) and king of the mountain (KOM) for that segment. The KOM represents the best…

    2022 · mtbx.bike

  10. 10
    Roveri89

    A riding journal for iPhone every ride, painted on a map

    17d ago · roveri.app

  11. 11B

    Hey folks! A bit of background: I'm a software engineer by trade, but I'm currently on sabbatical doing a year-long working holiday in Australia. I love riding bikes but only had the most beginner-level knowledge of them before I found a job at a bike shop. This was a fun personal project to try to capture some of what I've learned so far, targeted at fellow beginners. It's going to be incomplete/lacking if you already have some bike knowledge, but I hope you all enjoyed it all the same. Please keep the feedback coming; it's late in Australia, but I want to make sure the bike info is at…

    2025 · bicyclopedia.lemoing.ca

  12. 12M

    A web platform I've written to make it easy for people to share goespatial time series data and display it on animated heatmaps. There's also a social media component that allows you to write comments, follow, share and like data sets that you want to engage with. You can also download the CSV data and embed animations into your own websites. People uploading datasets can also choose to make money by accepting donations. Please check out the home page for more details: https://mapipedia.com Here are some samples of things created with the platform (press the play button to start…

    2019

  13. 13
    Ubeen127

    Data visualisation for your #Uber ride history

    2016

  14. 14VT

    Long time reader, first time self-promoter. I'm a bicycle mechanic that figured I could make the process of bicycle wheelbuilding faster, more accurate and more satisfying. I do it by sampling digital indicators, rendering the data in useful ways, and injecting domain-specific insights. The UI interaction happens by foot pedal so my paradigm retains the traditional way of working with your hands.

    2022 · islandix.com

  15. 15

    Get around big cities

    2019

  16. 16MO

    Hey Everybody! Hope you had a merry christmas Today I had a bit of fun with Claude. Started by scraping YC's startups list, then ran them through OpenAI's embedding service, then UMAP'd the embedding to reduce the dimension to just two coordinates and then just forced Claude to write React that would compile to visualize that. I had fun and I think it's interesting, so take a look! Also note that you won't be able to zoom on mobile (found about this Plotly limitation way too late). If there's interest I can fix this issue by changing plotting libs tomorrow :) Merry christmas

    2024 · yc-map.vercel.app

  17. 17
    Lokasi74

    Visual diary using your location history and Street View.

    2017

  18. 18FV

    I built a real-time flight tracker that renders 10,000+ aircraft on an interactive 3D globe, entirely in the browser using Rust compiled to WebAssembly.

    Apr 2026 · flight-viz.com

  19. 19UA

    Bit more than a year ago, we created the project called Budapest Cycle Track. The idea is simple: there are many cyclers in Budapest but where do they ride exactly? Which are the busiest routes? With the iPhone or Android apps cyclers can track their routes and upload them on a common map. The results are beautiful. With UrbanCyclr we'd like to do the same but globally. Full screen map: http://www.urbancyclr.com/static/map.html If you think you can create more beautiful maps than fusion tables don't hesitate to contact me :) For the enthusiasts, here is a video that KIBU made using the data:…

    2012

  20. 20LT
  21. 21VR
  22. 22RI
    Ryd.io9

    Ryd.io As a capstone project for Galvanize's data science immersive I took another look at the NYC Taxi data set. A ton of analysis has been done on individual rides/cars and I was curious about what story would be told by looking at this data through the aggregate. Through the clustered map you can identify different 'personalities' of the city with a birds eye view. Check it out here http://ryd.io/cluster_map I've just spent past couple weeks working hard on this project and would love to talk to anyone about it if they are interested. After the conclusion of the…

    2015

  23. 23VB

    2021 · observablehq.com

  24. 24A3

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