Skip to main content

A Python library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters.

Project description

DendroPy wordmark

automated tests: package version: documentation: test coverage:
Continuous Integration build PyPI version Documentation Status codecov coverage

DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc. Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary. DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting "glue" that assembles and drives such pipelines.

The primary home page for DendroPy, with detailed tutorials and documentation, is at:

https://jeetsukumaran.github.io/DendroPy/

DendroPy is also hosted in the official Python Packaging Index (PyPI):

http://pypi.org/project/DendroPy/

Requirements and Installation

The current version of DendroPy requires Python 3.

You can install DendroPy by running::

$ python -m pip install dendropy

For Conda users, DendroPy can be installed from the conda-forge channel:

$ conda install -c conda-forge dendropy

More information is available here:

https://jeetsukumaran.github.io/DendroPy/downloading.html

Documentation

Full documentation is available here:

https://jeetsukumaran.github.io/DendroPy/

This includes:

and more.

Citing

If you use any portion of DendroPy v5 in your research, please cite it as:

Moreno, M. A., Holder, M. T., & Sukumaran, J. (2024). DendroPy 5: a mature Python library for phylogenetic computing. Journal of Open Source Software, 9(101), 6943, https://doi.org/10.21105/joss.06943

For BibTex users:

@misc{dendropy5,
  doi = {10.21105/joss.06943},
  url = {https://doi.org/10.21105/joss.06943},
  year = {2024},
  publisher = {The Open Journal},
  volume = {9},
  number = {101},
  pages = {6943},
  author = {Matthew Andres Moreno and Mark T. Holder and Jeet Sukumaran},
  title = {DendroPy 5: a mature Python library for phylogenetic computing},
  journal = {Journal of Open Source Software}
}

Earlier DendroPy versions can be cited as:

Sukumaran, J. and M. T. Holder. 2010. DendroPy: a Python library for phylogenetic computing. Bioinformatics 26: 1569-1571. https://doi.org/10.1093/bioinformatics/btq228

Consider also leaving a star on GitHub!

License and Warranty

Please see the file "LICENSE.rst" for details.

Developers



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

DendroPy-5.0.8.tar.gz (398.5 kB view details)

Uploaded Source

Built Distribution

DendroPy-5.0.8-py3-none-any.whl (465.1 kB view details)

Uploaded Python 3

File details

Details for the file DendroPy-5.0.8.tar.gz.

File metadata

  • Download URL: DendroPy-5.0.8.tar.gz
  • Upload date:
  • Size: 398.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for DendroPy-5.0.8.tar.gz
Algorithm Hash digest
SHA256 1aa901399dc588d56f155930992dd03549f5d8e617ae09a65686bbda98b6ace3
MD5 c090f609b6dda82fcc0238393dc3db65
BLAKE2b-256 76e4ea83865a284c81e58d55936578dbfaa012afd7a791a75e1105c46e928f1d

See more details on using hashes here.

File details

Details for the file DendroPy-5.0.8-py3-none-any.whl.

File metadata

  • Download URL: DendroPy-5.0.8-py3-none-any.whl
  • Upload date:
  • Size: 465.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for DendroPy-5.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 6fa3fe71c67cf71d262cf33f12395735de9cd439852d0bd2d229c19df89a2992
MD5 73811a1adf0df2200d61818ee79fb549
BLAKE2b-256 293dd93dfd44e8615b39fab0b939bc7d8030021c092bffb3cc3c50580e75fc8f

See more details on using hashes here.

Supported by

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