semvec/pypi-packages huggingface dataset:
ai-keji-dabenying-201808-201811 2023.2.15.0
AI科技大本营 201808-201811
Requires Python: >=3.6

# AI科技大本营 201808-201811

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201808-201811
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201808-201811
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201808-201811
ai-keji-dabenying-201808-201811 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyibalingba-erlingyibayiyi
ai-keji-dabenying-erlingyibalingba-erlingyibayiyi <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201804-201808 2023.2.15.0
AI科技大本营 201804-201808
Requires Python: >=3.6

# AI科技大本营 201804-201808

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201804-201808
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201804-201808
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201804-201808
ai-keji-dabenying-201804-201808 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyibalingsi-erlingyibalingba
ai-keji-dabenying-erlingyibalingsi-erlingyibalingba <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201801-201804 2023.2.15.0
AI科技大本营 201801-201804
Requires Python: >=3.6

# AI科技大本营 201801-201804

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201801-201804
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201801-201804
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201801-201804
ai-keji-dabenying-201801-201804 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyibalingyi-erlingyibalingsi
ai-keji-dabenying-erlingyibalingyi-erlingyibalingsi <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201710-201801 2023.2.15.0
AI科技大本营 201710-201801
Requires Python: >=3.6

# AI科技大本营 201710-201801

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201710-201801
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201710-201801
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201710-201801
ai-keji-dabenying-201710-201801 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyiqiyiling-erlingyibalingyi
ai-keji-dabenying-erlingyiqiyiling-erlingyibalingyi <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201708-201710 2023.2.15.0
AI科技大本营 201708-201710
Requires Python: >=3.6

# AI科技大本营 201708-201710

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201708-201710
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201708-201710
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201708-201710
ai-keji-dabenying-201708-201710 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyiqilingba-erlingyiqiyiling
ai-keji-dabenying-erlingyiqilingba-erlingyiqiyiling <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201704-201708 2023.2.15.0
AI科技大本营 201704-201708
Requires Python: >=3.6

# AI科技大本营 201704-201708

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201704-201708
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201704-201708
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201704-201708
ai-keji-dabenying-201704-201708 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyiqilingsi-erlingyiqilingba
ai-keji-dabenying-erlingyiqilingsi-erlingyiqilingba <port>
# 访问 http://localhost:{port} 查看文档
```
ai-keji-dabenying-201612-201704 2023.2.15.0
AI科技大本营 201612-201704
Requires Python: >=3.6

# AI科技大本营 201612-201704

## 下载

### Docker

```
docker pull apachecn0/ai-keji-dabenying-201612-201704
docker run -tid -p <port>:80 apachecn0/ai-keji-dabenying-201612-201704
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-keji-dabenying-201612-201704
ai-keji-dabenying-201612-201704 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-keji-dabenying-erlingyiliuyier-erlingyiqilingsi
ai-keji-dabenying-erlingyiliuyier-erlingyiqilingsi <port>
# 访问 http://localhost:{port} 查看文档
```
ai-guaniu-che-202204-202302 2023.2.15.0
AI蜗牛车 202204-202302
Requires Python: >=3.6

# AI蜗牛车 202204-202302

## 下载

### Docker

```
docker pull apachecn0/ai-guaniu-che-202204-202302
docker run -tid -p <port>:80 apachecn0/ai-guaniu-che-202204-202302
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-guaniu-che-202204-202302
ai-guaniu-che-202204-202302 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-guaniu-che-erlingererlingsi-erlingersanlinger
ai-guaniu-che-erlingererlingsi-erlingersanlinger <port>
# 访问 http://localhost:{port} 查看文档
```
ai-guaniu-che-202108-202204 2023.2.15.0
AI蜗牛车 202108-202204
Requires Python: >=3.6

# AI蜗牛车 202108-202204

## 下载

### Docker

```
docker pull apachecn0/ai-guaniu-che-202108-202204
docker run -tid -p <port>:80 apachecn0/ai-guaniu-che-202108-202204
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-guaniu-che-202108-202204
ai-guaniu-che-202108-202204 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-guaniu-che-erlingeryilingba-erlingererlingsi
ai-guaniu-che-erlingeryilingba-erlingererlingsi <port>
# 访问 http://localhost:{port} 查看文档
```
ai-guaniu-che-202010-202108 2023.2.15.0
AI蜗牛车 202010-202108
Requires Python: >=3.6

# AI蜗牛车 202010-202108

## 下载

### Docker

```
docker pull apachecn0/ai-guaniu-che-202010-202108
docker run -tid -p <port>:80 apachecn0/ai-guaniu-che-202010-202108
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-guaniu-che-202010-202108
ai-guaniu-che-202010-202108 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-guaniu-che-erlingerlingyiling-erlingeryilingba
ai-guaniu-che-erlingerlingyiling-erlingeryilingba <port>
# 访问 http://localhost:{port} 查看文档
```
ai-guaniu-che-201906-202010 2023.2.15.0
AI蜗牛车 201906-202010
Requires Python: >=3.6

# AI蜗牛车 201906-202010

## 下载

### Docker

```
docker pull apachecn0/ai-guaniu-che-201906-202010
docker run -tid -p <port>:80 apachecn0/ai-guaniu-che-201906-202010
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-guaniu-che-201906-202010
ai-guaniu-che-201906-202010 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-guaniu-che-erlingyijiulingliu-erlingerlingyiling
ai-guaniu-che-erlingyijiulingliu-erlingerlingyiling <port>
# 访问 http://localhost:{port} 查看文档
```
ai-guaniu-che-201902-201906 2023.2.15.0
AI蜗牛车 201902-201906
Requires Python: >=3.6

# AI蜗牛车 201902-201906

## 下载

### Docker

```
docker pull apachecn0/ai-guaniu-che-201902-201906
docker run -tid -p <port>:80 apachecn0/ai-guaniu-che-201902-201906
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-guaniu-che-201902-201906
ai-guaniu-che-201902-201906 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-guaniu-che-erlingyijiulinger-erlingyijiulingliu
ai-guaniu-che-erlingyijiulinger-erlingyijiulingliu <port>
# 访问 http://localhost:{port} 查看文档
```
ai-buluo-lianmeng-201605-202109 2023.2.15.0
AI部落联盟 201605-202109
Requires Python: >=3.6

# AI部落联盟 201605-202109

## 下载

### Docker

```
docker pull apachecn0/ai-buluo-lianmeng-201605-202109
docker run -tid -p <port>:80 apachecn0/ai-buluo-lianmeng-201605-202109
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ai-buluo-lianmeng-201605-202109
ai-buluo-lianmeng-201605-202109 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ai-buluo-lianmeng-erlingyiliulingwu-erlingeryilingjiu
ai-buluo-lianmeng-erlingyiliulingwu-erlingeryilingjiu <port>
# 访问 http://localhost:{port} 查看文档
```
simber 0.2.6
Simple, minimal, powerful logging library for Python
Requires Python: >=3

<div align="center">
<img src="https://simber.deepjyoti30.dev/assets/simber.png">
<h2><i>Simple, minimal and powerful logger for Python</i></h2>
</div>

<div align="center">

<br/>

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)<br/><br/>
<img src="https://img.shields.io/badge/Maintained%3F-Yes-blueviolet?style=for-the-badge">
![Travis (.org)](https://img.shields.io/travis/deepjyoti30/simber?style=for-the-badge) [![License](https://img.shields.io/badge/License-MIT-pink.svg?style=for-the-badge)](LICENSE.md) ![PyPI](https://img.shields.io/pypi/v/simber?style=for-the-badge) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-lightblue.svg?style=for-the-badge)](http://makeapullrequest.com)

<p>
<a href="https://ko-fi.com/deepjyoti30"><img src="https://raw.githubusercontent.com/adi1090x/files/master/other/kofi.png" alt="Support me on ko-fi"></a>
</p>
</div>

## Why Simber?

Simber was merely built because of some restrictions that the Python's default logging library has. This library is aimed as a simple, minimal yet powerful logging library for all Python apps. This logging library aims to take away all the disadvantages of using the default logging library and at the same time be feature filled so that the end user feels powerful using it.

### \[[Installation](https://simber.deepjyoti30.dev/#installation)] \[[Get Started](https://simber.deepjyoti30.dev/#get-started)] \[[Docs](https://simber.deepjyoti30.dev/)] \[[Contribute](.github/CONTRIBUTING.md)]