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overpy

Python Wrapper to access the OpenStreepMap Overpass API

Worth itPyPI InternetReleased Dec 2023103.4K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — overpy-0.7-py3-none-any.whl
v0.7 · released 2023-12-04 · Python >=3.6

Yes. Overpy is actively maintained, has no external dependencies, supports current Python versions, carries a permissive MIT license, and fills a clear niche for developers who need to query OpenStreetMap data programmatically. Install it if you're building location-aware applications or need to extract geographic features from OSM.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low install friction with no runtime dependencies.
  • Actively maintained as of July 2026 with consistent release history since 2014.
  • Supports modern Python versions (3.6+) and PyPy.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must include the license notice in distributions.

last release 2023-12-04 (984 days) · last repo commit 2026-07-13 · 265 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 103,365 downloads/mo, #12,809 on PyPI

Verify before relying

pip install overpy

import overpy

api = overpy.Overpass()
result = api.query('way(50.746,7.154,50.748,7.157) ["highway"]; (._;>;); out body;')
for way in result.ways:
    print(way.tags.get('name', 'n/a'))
  • Whether Overpass API rate limits or authentication requirements affect typical usage patterns
  • Performance characteristics when querying large geographic areas or complex filters
Same gist for agents: .md · .json

What it is and what it does

Overpy is a Python client for the Overpass API, a read-only interface to OpenStreetMap data. It handles the HTTP communication with Overpass servers and parses responses into Python objects representing ways, nodes, and relations from the map. The package abstracts away the details of Overpass query syntax and response parsing, letting you focus on extracting geographic features by their tags and coordinates.

Typical workflows involve constructing an Overpass query (a specialized language for filtering OSM data), submitting it through the api.query() method, and then iterating over the returned ways, nodes, and relations to extract tags and geometry. The package also provides helper functions for common tasks like finding streets or intersections by name within a geographic boundary.

Use it for

  • Extract road networks, buildings, or amenities from OpenStreetMap for a specific region
  • Build location-based applications that need current OSM data without maintaining a local database
  • Analyze geographic features (e.g., all restaurants or parks) within a bounding box
  • Geocode addresses or find intersections by querying OSM directly
  • Research or validate OpenStreetMap data coverage in a given area

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Overpy is actively maintained, has no external dependencies, supports current Python versions, carries a permissive MIT license, and fills a clear niche for developers who need to query OpenStreetMap data programmatically. Install it if you're building location-aware applications or need to extract geographic features from OSM.

Install

overpy on PyPI

Before you install

Low install friction with no runtime dependencies. Actively maintained as of July 2026 with consistent release history since 2014. Supports modern Python versions (3.6+) and PyPy.

License in practice

MIT license permits commercial and private use with minimal restrictions; you must include the license notice in distributions.

Quickstart

pip install overpy

import overpy

api = overpy.Overpass()
result = api.query('way(50.746,7.154,50.748,7.157) ["highway"]; (._;>;); out body;')
for way in result.ways:
    print(way.tags.get('name', 'n/a'))

Verify before relying

  • Whether Overpass API rate limits or authentication requirements affect typical usage patterns
  • Performance characteristics when querying large geographic areas or complex filters

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.6
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 984 days since the last release
Last repo commit
First released
Downloads103,365 / month, #12,809 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy

Evidence: overpy-0.7-py3-none-any.whl

Tags

Capabilities
openstreetmap api wrapperoverpass api pythonosm data querygeographic data extractionmap data parsingopenstreetmap python client
Topics
openstreetmapgeospatialapi-client
PyPI keywords
OverPyOverpassOSMOpenStreetMap

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See also osm2geojson · osmium · osmnx · python-geohash · meteomatics · cityseer · polyline · staticmap · pykml · contextily