Skip to main content

Python library for quantitative tasks in historical linguistics

Project description

LingPy: A Python Library for Automatic Tasks in Historical Linguistics

This repository contains the python package lingpy which can be used for various task in computational historical linguistics.

Build Status DOI PyPI version Documentation

Authors (Version 2.6.7): Johann-Mattis List and Robert Forkel

Collaborators: Christoph Rzymski, Simon J. Greenhill, Steven Moran, Peter Bouda, Johannes Dellert, Taraka Rama, Tiago Tresoldi, Gereon Kaiping, and Frank Nagel.

LingPy is a Python Library for Historical Linguistics. It is being developed for Python 2.7 and Python 3.x using a single codebase.

Quick Installation

For our latest stable version, you can simply use pip or easy_install for installation:

$ pip install lingpy


$ pip install lingpy

Depending on which easy_install or pip version you use, either the Python2 or the Python3 version of LingPy will be installed.

If you want to install LingPy the current GitHub version on your system, open a terminal and type in the following:

$ git clone
$ cd lingpy
$ python install

If the last command above returns you some error regarding user permissions (usually "Errno 13"), you can install LingPy in your home Python setup:

$ python install --user

In order to use the library, start an interactive python session and import LingPy as follows:

>>> from lingpy import *

To install LingPy to hack on it, fork the repository on GitHub, open a terminal and type:

$ git clone<your-github-user>/lingpy/
$ cd lingpy
$ python develop

This will install LingPy in "development mode", i.e. you will be able edit the sources in the cloned repository and import the altered code just as the regular python package.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lingpy-2.6.7.tar.gz (538.2 kB view hashes)

Uploaded Source

Built Distribution

lingpy-2.6.7-py3.9.egg (988.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page