utm
Bidirectional UTM-WGS84 converter for python
Decision gist · record as of 2026-08-14
Yes. utm is a focused, dependency-free tool for a common geospatial task. Low install friction, permissive license, active maintenance, no known vulnerabilities, and strong performance for UTM conversions make it a straightforward choice for any project needing coordinate system conversion.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with no runtime dependencies.
- Actively maintained with recent release (18 days ago) and steady repository activity.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) allows unrestricted use, modification, and distribution in commercial and private projects.
last release 2026-07-27 (18 days) · last repo commit 2026-08-12 · 531 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,092,305 downloads/mo, #4,376 on PyPI
Alternatives
Verify before relying
pip install utm
import utm
# Convert latitude/longitude to UTM
utm.from_latlon(51.2, 7.5)
# Returns: (395201.3103811303, 5673135.241182375, 32, 'U')
# Convert UTM back to latitude/longitude
utm.to_latlon(340000, 5710000, 32, 'U')
# Returns: (51.51852098408468, 6.693872395145327)- Whether NumPy is an optional dependency or required for array support
- Accuracy specifications or error bounds for coordinate conversions
- Support for coordinate systems beyond WGS84
What it is and what it does
utm is a lightweight Python library that bidirectionally converts between geographic coordinates (latitude/longitude in WGS84) and UTM grid references. It provides two main functions: from_latlon() converts a geographic point to its UTM easting, northing, zone number, and zone letter; to_latlon() performs the reverse conversion. The library handles both scalar float inputs and NumPy arrays, making it suitable for batch processing of coordinate sets.
The package is designed as a faster alternative to generic projection libraries like pyproj for UTM-specific conversions. It has no external runtime dependencies, installs as a pure Python wheel, and requires Python 3.10 or later. The library is actively maintained, with recent releases and a stable repository.
Use it for
- Convert GPS coordinates from a mobile app or GPS device into UTM grid format for mapping applications
- Batch-convert thousands of geographic points to UTM using NumPy arrays for geospatial analysis
- Determine which UTM zone a location falls into for regional mapping or surveying workflows
- Transform between coordinate systems in GIS workflows without the overhead of a full projection library
- Validate or standardize coordinate data by round-tripping between lat/lon and UTM formats
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
utm is a focused, dependency-free tool for a common geospatial task. Low install friction, permissive license, active maintenance, no known vulnerabilities, and strong performance for UTM conversions make it a straightforward choice for any project needing coordinate system conversion.
Install
utm on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained with recent release (18 days ago) and steady repository activity.
Requires Python 3.10 or later.
License in practice
MIT license (permissive) allows unrestricted use, modification, and distribution in commercial and private projects.
Quickstart
pip install utm
import utm
# Convert latitude/longitude to UTM
utm.from_latlon(51.2, 7.5)
# Returns: (395201.3103811303, 5673135.241182375, 32, 'U')
# Convert UTM back to latitude/longitude
utm.to_latlon(340000, 5710000, 32, 'U')
# Returns: (51.51852098408468, 6.693872395145327)
Verify before relying
- Whether NumPy is an optional dependency or required for array support
- Accuracy specifications or error bounds for coordinate conversions
- Support for coordinate systems beyond WGS84
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 18 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,092,305 / month, #4,376 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: Other EnvironmentIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonTopic :: Scientific/Engineering :: GIS |
Evidence: utm-0.9.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “utm coordinate conversion”
- utmConverts between latitude/longitude coordinates and Universal…
- mgrsConverts between MGRS (Military Grid Reference System) coordinates…
- pygeodesyPyGeodesy provides pure Python implementations of geodetic…
Give your agent the search over MCP, or paste the wish link into any chat.
More GIS packages
Shapely provides Python tools for creating, manipulating, and analyzing 2D geometric objects (points, lines, polygons) using the GEOS library, with both scalar and vectorized NumPy-based operations.
pyproj provides a Python interface to PROJ, enabling cartographic projections and coordinate system transformations for geospatial applications.
GeoPandas extends pandas DataFrames to handle geographic data, combining pandas operations with shapely geometry and spatial analysis capabilities that would otherwise require a spatial database.
Install it if you work with geographic data in Python and want to avoid setting up a spatial database or learning a separate GIS tool.
geopy is a Python client for geocoding and distance calculation that converts addresses to coordinates and vice versa using multiple web-based geocoding services, and computes geodesic and great-circle distances between geographic points.
Install it if you need geocoding or distance calculations in your application.
Pyogrio provides fast, bulk-oriented read and write access to vector spatial data formats (Shapefile, GeoPackage, GeoJSON, etc.) via GDAL/OGR bindings, typically for use with GeoPandas GeoDataFrames.
h3 provides Python bindings to Uber's H3 geospatial indexing library, converting geographic coordinates into hierarchical hexagonal grid cells and performing spatial operations on them.
See also convertbng · mgrs · py-geohex3 · geohash2 · pymap3d · lat-lon-parser · pyGeoTile · mapbox-vector-tile · reverse-geocode · reverse_geocoder