semvec/pypi-packages huggingface dataset:
beastiary 1.8.3
Real time and remote MCMC trace monitoring with BEASTIARY
Requires Python: >=3.8,<4.0

![beastiary logo](https://beastiary.wytamma.com/images/logo.png)

[![PyPi](https://img.shields.io/pypi/v/beastiary.svg)](https://pypi.org/project/beastiary/)
[![tests](https://github.com/Wytamma/beastiary/actions/workflows/test.yml/badge.svg)](https://github.com/Wytamma/beastiary/actions/workflows/test.yml)
[![cov](https://codecov.io/gh/Wytamma/beastiary/branch/master/graph/badge.svg)](https://codecov.io/gh/Wytamma/beastiary)
[![docs](https://github.com/Wytamma/beastiary/actions/workflows/docs.yml/badge.svg)](https://beastiary.wytamma.com/)

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**: <a href="https://academic.oup.com/mbe/advance-article/doi/10.1093/molbev/msac095/6584747" target="_blank">Wirth & Duchene (2022)</a>

**Documentation**: <a href="https://beastiary.wytamma.com" target="_blank">https://beastiary.wytamma.com</a>

**Source Code**: <a href="https://github.com/Wytamma/beastiary" target="_blank">https://github.com/Wytamma/beastiary</a>

---

## Install
```bash
pip install beastiary
```

## Use
To start beastiary use the `beastiary` command.

```bash
beastiary
```

![](https://beastiary.wytamma.com/images/screen_shot_dark.png)

For more information read the [docs](https://beastiary.wytamma.com/).

# 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
mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc 2024.3.2.0
MFC入门教程：1天深入浅出MFC
Requires Python: >=3.6

# MFC入门教程：1天深入浅出MFC

## 下载

### Docker

```
docker pull apachecn0/mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc
docker run -tid -p <port>:80 apachecn0/mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc
mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc
mfc-rumenjiaocheng-1-tian-shenruqianchu-mfc <port>
# 访问 http://localhost:{port} 查看文档
```
mdn-wenjian-api-zhongwen-wendang 2024.3.2.0
MDN 文件 API 中文文档
Requires Python: >=3.6

# MDN 文件 API 中文文档

## 下载

### Docker

```
docker pull apachecn0/mdn-wenjian-api-zhongwen-wendang
docker run -tid -p <port>:80 apachecn0/mdn-wenjian-api-zhongwen-wendang
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install mdn-wenjian-api-zhongwen-wendang
mdn-wenjian-api-zhongwen-wendang <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g mdn-wenjian-api-zhongwen-wendang
mdn-wenjian-api-zhongwen-wendang <port>
# 访问 http://localhost:{port} 查看文档
```
matplotlib-yonghu-zhinan 2024.3.2.0
Matplotlib 用户指南
Requires Python: >=3.6

# Matplotlib 用户指南

## 下载

### Docker

```
docker pull apachecn0/matplotlib-yonghu-zhinan
docker run -tid -p <port>:80 apachecn0/matplotlib-yonghu-zhinan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install matplotlib-yonghu-zhinan
matplotlib-yonghu-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g matplotlib-yonghu-zhinan
matplotlib-yonghu-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
matplotlib-rumenjiaocheng 2024.3.2.0
Matplotlib 入门教程
Requires Python: >=3.6

# Matplotlib 入门教程

## 下载

### Docker

```
docker pull apachecn0/matplotlib-rumenjiaocheng
docker run -tid -p <port>:80 apachecn0/matplotlib-rumenjiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install matplotlib-rumenjiaocheng
matplotlib-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g matplotlib-rumenjiaocheng
matplotlib-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
matlab-tutorial-mit-10-34 2024.3.2.0
MATLAB Tutorial (MIT 10.34)
Requires Python: >=3.6

# MATLAB Tutorial (MIT 10.34)

## 下载

### Docker

```
docker pull apachecn0/matlab-tutorial-mit-10-34
docker run -tid -p <port>:80 apachecn0/matlab-tutorial-mit-10-34
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install matlab-tutorial-mit-10-34
matlab-tutorial-mit-10-34 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g matlab-tutorial-mit-yiling-sansi
matlab-tutorial-mit-yiling-sansi <port>
# 访问 http://localhost:{port} 查看文档
```
mathematics-for-computer-science-mit-6-042j 2024.3.2.0
Mathematics for Computer Science (MIT 6.042J)
Requires Python: >=3.6

# Mathematics for Computer Science (MIT 6.042J)

## 下载

### Docker

```
docker pull apachecn0/mathematics-for-computer-science-mit-6-042j
docker run -tid -p <port>:80 apachecn0/mathematics-for-computer-science-mit-6-042j
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install mathematics-for-computer-science-mit-6-042j
mathematics-for-computer-science-mit-6-042j <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g mathematics-for-computer-science-mit-6-lingsierj
mathematics-for-computer-science-mit-6-lingsierj <port>
# 访问 http://localhost:{port} 查看文档
```
markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cs294 2024.3.2.0
MARKOV CHAIN MONTE CARLO FOUNDATIONS & APPLICATIONS Lecture Notes (UCB CS294)
Requires Python: >=3.6

# MARKOV CHAIN MONTE CARLO FOUNDATIONS & APPLICATIONS Lecture Notes (UCB CS294)

## 下载

### Docker

```
docker pull apachecn0/markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cs294
docker run -tid -p <port>:80 apachecn0/markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cs294
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cs294
markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cs294 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cserjiusi
markov-chain-monte-carlo-foundations-applications-lecture-notes-ucb-cserjiusi <port>
# 访问 http://localhost:{port} 查看文档
```