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
Metadata
Release files for beastiary 1.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| beastiary-1.9.3.tar.gz | 6.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| beastiary-1.9.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 MB
Release files / beastiary-1.9.3.tar.gz
| Download URL | beastiary-1.9.3.tar.gz |
|---|---|
| Size | 6.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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poetry/2.4.0 CPython/3.12.3 Linux/6.17.0-1010-azure
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Release files / beastiary-1.9.3-py3-none-any.whl
| Download URL | beastiary-1.9.3-py3-none-any.whl |
|---|---|
| Size | 6.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.4.0 CPython/3.12.3 Linux/6.17.0-1010-azure
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