Library for interacting with Open Tree of Life resources
Project description
[![Build Status](https://travis-ci.org/OpenTreeOfLife/python-opentree.svg?branch=master)](https://travis-ci.org/OpenTreeOfLife/python-opentree) [![Documentation](https://readthedocs.org/projects/opentree/badge/?version=latest&style=flat)](https://opentree.readthedocs.io/en/latest/) [![codecov](https://codecov.io/gh/OpenTreeOfLife/python-opentree/branch/main/graph/badge.svg)](https://codecov.io/gh/OpenTreeOfLife/python-opentree) [![NSF-1759846](https://img.shields.io/badge/NSF-1759846-blue.svg)](https://nsf.gov/awardsearch/showAward?AWD_ID=1759846) [![NSF-1759838](https://img.shields.io/badge/NSF-1759838-blue.svg)](https://nsf.gov/awardsearch/showAward?AWD_ID=1759838)
This package is a python library designed to make it easier to work with web services and data resources associated with the [Open Tree of Life](https://opentreeoflife.github.io) project. The git repo is at https://github.com/OpenTreeOfLife/python-opentree.
Please refer to [this markdown document](INSTALL.md) or opentree’s documentation website https://opentree.readthedocs.io/en/latest/install.html for more details on installation instructions, function usage, running tutorials, real life examples, and tools for developers.
If you have questions or comments, submit a GitHub issue or email ejmctavish ucmerced.edu.
For examples scripts see: https://opentree.readthedocs.io/en/latest/running_examples.html
For example Jupyter notebooks see: https://opentree.readthedocs.io/en/latest/notebooks.html
SSB 2020 workshop curriculum is posted at: [Open Tree workshop](https://opentreeoflife.github.io/SSBworkshop) at the [2020 SSB Meeting](https://systbiol.github.io/ssb2020/) in Gainesville, FL.
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
File details
Details for the file opentree-1.0.1.tar.gz
.
File metadata
- Download URL: opentree-1.0.1.tar.gz
- Upload date:
- Size: 28.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a765ae37cd72c232c292506c170656aaaa4be81e6de6ccd4845eec01bfe45e4d |
|
MD5 | 170dcae4933dfbdd2799406c459cd4c9 |
|
BLAKE2b-256 | 367b90f1b9c47da424792b4af44f85d6a3557cbb50cbc256a1035156841f9e92 |