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7 train in Queens, New York, United States

Transiter is a backend web service that makes it easy to use transit data in web apps, train arrival time boards and similar technologies.

Transiter subscribes to GTFS static, GTFS realtime and other types of feeds and provides integrated views of the data through an intuitive REST API. The endpoint for a particular stop, for example, returns the stop's static data (such as its name and GPS coordinates), its realtime data (the list of vehicles that will arrive next, and the times they will arrive), as well as derived data that Transiter computes automatically, such as which routes usually call at the stop, which transfers to other stops are available, and which routes are currently calling at those stops. You can get a sense for the data that's available by navigating through the live demo site.

Getting started

The easiest way to get Transiter up and running is to use Docker compose with the configuration file at docker/docker-compose.yaml. It references Docker images that are stored in Docker Hub, so it will work immediately; assuming it's in your current working directory, just run:

docker-compose up

Building the Docker images themselves is also easy. Checkout the Git repo and run:

make docker

Then launch using Docker compose:

docker-compose -f docker/docker-compose.yml up

Either approach will launch a Transiter service listening for HTTP requests on localhost's port 8000. Running

curl localhost:8000

will yield a response like:

  "transiter": {
    "version": "0.5.4",
    "href": ""
    "docs": {
        "href": "http://localhost:8000/docs/"
  "systems": {
    "count": 0,
    "href": "http://localhost:8000/systems"

As you can see, there are no transit systems installed and the next step is to install one. The San Francisco BART system is simple to install: assuming the steps above have been followed, simply execute:

curl -X PUT "localhost:8000/systems/sfbart?sync=true" \
    -F 'config_file='

The installation will take a couple of seconds as the BART's schedule is loaded into the database.

If you are streaming the Docker compose output you'll notice after the installation that realtime feed updates are now occurring every 5 seconds. At this point you're ready to navigate the HTTP API to access the BART's static and realtime data! For example, to get data at the BART station at San Francisco International Airport (stop ID SFIA), just execute:

curl localhost:8000/systems/sfbart/stops/SFIA

Possible next steps

The documentation website has much more including advice on deployment and monitoring.

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Web service for transit data







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