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The openrouteservice library gives you painless access to the openrouteservice (ORS) routing API's. It performs requests against our API's for

• directions
• isochrones
• matrix routing calculations
• places
• elevation
• Pelias geocoding
• Pelias reverse geocoding
• Pelias structured geocoding
• Pelias autocomplete
• Optimization

For further details, please visit:

• homepage
• ORS API documentation
• openrouteservice-py documentation

We also have a repo with a few useful examples here.

For support, please ask our forum.

By using this library, you agree to the ORS terms and conditions.

openrouteservice-py is tested against Python 3.6, 3.7, 3.8 and 3.9, and PyPy3.6 and PyPy3.7.

For setting up a testing environment, install poetry first.

For Linux and osx:

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

For windows:

(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | python -

Then create a venv and install the dependencies with poetry:

python -m venv .venv && source .venv/bin/activate
poetry install -vv

To install from PyPI, simply use pip:

pip install openrouteservice

To install the latest and greatest from source:

pip install git+git://github.com/GIScience/openrouteservice-py@development

If you want to run the unit tests, see Requirements. cd to the library directory and run:

pytest -v

-v flag for verbose output (recommended).

For an interactive Jupyter notebook have a look on mybinder.org.

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client(key='') # Specify your personal API key
routes = client.directions(coords)

print(routes)

For convenience, all request performing module methods are wrapped inside the client class. This has the disadvantage, that your IDE can't auto-show all positional and optional arguments for the different methods. And there are a lot!

The slightly more verbose alternative, preserving your IDE's smart functions, is

import openrouteservice
from openrouteservice.directions import directions

    coords = ((8.34234,48.23424),(8.34423,48.26424))

    client = openrouteservice.Client(key='') # Specify your personal API key
    routes = directions(client, coords) # Now it shows you all arguments for .directions

If you want to optimize the order of multiple waypoints in a simple Traveling Salesman Problem, you can pass a optimize_waypoints parameter:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424), (8.34523,48.24424), (8.41423,48.21424))

client = openrouteservice.Client(key='') # Specify your personal API key
routes = client.directions(coords, profile='cycling-regular', optimize_waypoints=True)

print(routes)

By default, the directions API returns encoded polylines. To decode to a dict, which is a GeoJSON geometry object, simply do

import openrouteservice
from openrouteservice import convert

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client(key='') # Specify your personal API key

# decode_polyline needs the geometry only
geometry = client.directions(coords)['routes'][0]['geometry']

decoded = convert.decode_polyline(geometry)

print(decoded)

Although errors in query creation should be handled quite decently, you can do a dry run to print the request and its parameters:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client()
client.directions(coords, dry_run='true')

If you're hosting your own ORS instance, you can alter the base_url parameter to fit your own:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

# key can be omitted for local host
client = openrouteservice.Client(base_url='http://localhost/ors')

# Only works if you didn't change the ORS endpoints manually
routes = client.directions(coords)

# If you did change the ORS endpoints for some reason
# you'll have to pass url and required parameters explicitly:
routes = client.request(
  url='/new_url',
  post_json={
      'coordinates': coords,
      'profile': 'driving-car',
      'format': 'geojson'
  })

For general support and questions, contact our forum.

For issues/bugs/enhancement suggestions, please use https://github.com/GIScience/openrouteservice-py/issues.

This library is based on the very elegant codebase from googlemaps.