https://github.com/omanges/turfpy

A Python library for performing geospatial data analysis which reimplements turf.js.
https://github.com/omanges/turfpy

conda conda-forge geospatial geospatial-analysis pypi python turfpy

Last synced: 4 months ago
JSON representation

A Python library for performing geospatial data analysis which reimplements turf.js.

• Host: GitHub
• URL: https://github.com/omanges/turfpy
• Owner: omanges
• License: mit
• Created: 2020-02-25T12:49:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2026-02-01T18:15:38.000Z (5 months ago)
• Last Synced: 2026-02-04T15:26:15.149Z (5 months ago)
• Topics: conda, conda-forge, geospatial, geospatial-analysis, pypi, python, turfpy
• Language: Python
• Homepage:
• Size: 5.95 MB
• Stars: 127
• Watchers: 4
• Forks: 27
• Open Issues: 27
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• Awesome-Geospatial - Turfpy - This is Python library for performing geo spatial data analysis. This is an python alternative for turf.js. (Python)

README

          
# Turfpy

[![Build Status](https://travis-ci.com/omanges/turfpy.svg?branch=master)](https://travis-ci.com/omanges/turfpy)

[![PyPI](https://img.shields.io/pypi/v/turfpy)](https://pypi.org/project/turfpy/)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/turfpy)](https://pypi.org/project/turfpy/)

[![PyPI - Status](https://img.shields.io/pypi/status/turfpy)](https://pypi.org/project/turfpy/)

[![PyPI - License](https://img.shields.io/pypi/l/turfpy)](https://pypi.org/project/turfpy/)

[![Total alerts](https://img.shields.io/lgtm/alerts/g/omanges/turfpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/omanges/turfpy/alerts/)

[![code quality: python](https://img.shields.io/lgtm/grade/python/g/omanges/turfpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/omanges/turfpy/context:python)

[![Downloads](https://pepy.tech/badge/turfpy/month)](https://pepy.tech/project/turfpy)

[![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/turfpy)](https://anaconda.org/conda-forge/turfpy)

[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/turfpy)](https://anaconda.org/conda-forge/turfpy)

[![Join the Gitter Chat](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/turfpy/turfpy-user-group?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![Documentation Status](https://readthedocs.org/projects/turfpy/badge/?version=latest)](https://turfpy.readthedocs.io/en/latest/?badge=latest)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![commits since](https://img.shields.io/github/commits-since/omanges/turfpy/latest.svg)](https://github.com/omanges/turfpy/commits/master)

[![GitHub contributors](https://img.shields.io/github/contributors/omanges/turfpy)](https://github.com/omanges/turfpy/graphs/contributors)

Demo:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/omanges/turfpy/master?urlpath=lab/tree/examples)

A Python library for performing geospatial data analysis which reimplements turf.js.

## Installation

You can install the Turfpy from [PyPI](https://pypi.org/project/turfpy/):

   

    pip install turfpy

If you prefer to use [conda](https://anaconda.org/conda-forge/turfpy):

    conda install -c conda-forge turfpy

## Test Suite

You can run the test suite locally:

```bash

pip install -r dev_requirements.txt

pytest -s -v --cov=turfpy tests

```

## Features

It supports below features:

- [Measurements](https://github.com/omanges/turfpy/blob/master/measurements.md)

- [Transformations](https://github.com/omanges/turfpy/blob/master/transformation.md)

- [Misc](https://github.com/omanges/turfpy/blob/master/misc.md)

- [Random](https://github.com/omanges/turfpy/blob/master/random.md)

- [Feature Conversion](https://github.com/omanges/turfpy/blob/master/feature_conversion.md)

- [Boolean](https://github.com/omanges/turfpy/blob/master/boolean.md)

## Documentation

Documentation can be found at: [docs](https://turfpy.readthedocs.io/en/latest/)