Skip to main content

Real time and remote MCMC trace monitoring with BEASTIARY

Project description

beastiary logo

PyPi tests cov docs

Beastiary is designed for visualising and analysing MCMC trace files generated from Bayesian phylogenetic analyses. Beastiary works in real-time and on remote servers (e.g. a HPC). The goal of Beastiary is to be a beautiful and simple yet powerful tool for Bayesian phylogenetic inference.


Paper: Wirth & Duchene (2022)

Documentation: https://beastiary.wytamma.com

Source Code: https://github.com/Wytamma/beastiary


Install

pip install beastiary

Use

To start beastiary use the beastiary command.

beastiary

For more information read the docs.

Cite

Wytamma Wirth, Sebastian Duchene, Real-time and remote MCMC trace inspection with Beastiary, Molecular Biology and Evolution, 2022;, msac095, https://doi.org/10.1093/molbev/msac095

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

beastiary-1.9.0.tar.gz (6.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

beastiary-1.9.0-py3-none-any.whl (6.4 MB view details)

Uploaded Python 3

File details

Details for the file beastiary-1.9.0.tar.gz.

File metadata

  • Download URL: beastiary-1.9.0.tar.gz
  • Upload date:
  • Size: 6.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.4 CPython/3.12.3 Linux/6.17.0-1010-azure

File hashes

Hashes for beastiary-1.9.0.tar.gz
Algorithm Hash digest
SHA256 14019f5ec9d3626c5b2fea3e9f947bccececdbcf97527eaaebc0d0077171dd9d
MD5 c2086ee26174816e27036adb9598b70e
BLAKE2b-256 0dddce9a43b898ce0bc77a639152436d7851292fcf9a0c084ec270c306e540b2

See more details on using hashes here.

File details

Details for the file beastiary-1.9.0-py3-none-any.whl.

File metadata

  • Download URL: beastiary-1.9.0-py3-none-any.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.4 CPython/3.12.3 Linux/6.17.0-1010-azure

File hashes

Hashes for beastiary-1.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d3e05da294b59f02b3998bd3e2ac74603cfebc0878171a1c1f8c8da613906382
MD5 2d7ce9391c1b101d2e05c3e468c20018
BLAKE2b-256 a15c35cf4a97ba4f9384f398d3c6b8436ef7a0a625144eae2949276452b22565

See more details on using hashes here.

Supported by

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