semvec/pypi-packages huggingface dataset:
huparry 0.0.1
huparry库，日后将嵌入一些有用的功能
License: MIT
Requires Python: >=3.8

中国大陆普通本科生一枚。成绩一般，热爱计算机技术。

QQ：3411907440

邮箱：zsy@huparry.cn

有任何事均可通过上面联系方式与本人取得联系。
harlequin-risingwave 0.5.0
A Harlequin adapter for Risingwave.
License: MIT
Requires Python: <4.0,>=3.9

# harlequin-risingwave

This repo provides the Harlequin adapter for [Risingwave](https://github.com/risingwavelabs/risingwave).

![](https://github.com/zen-xu/harlequin-risingwave/blob/main/assets/demo.jpg?raw=true)

## Installation

`harlequin-risingwave` depends on `harlequin` and `harlequin-postgres`, so installing this package will also install these packages.

### Using pip

To install this adapter into an activated virtual environment:
```bash
pip install harlequin-risingwave
```

### Using poetry

```bash
poetry add harlequin-risingwave
```

### Using pipx

If you do not already have Harlequin installed:

```bash
pip install harlequin-risingwave
```

If you would like to add the Risingwave adapter to an existing Harlequin installation:

```bash
pipx inject harlequin harlequin-risingwave
```

## Usage and Configuration

You can open Harlequin with the Risingwave adapter by selecting it with the `-a` option and passing a [Posgres DSN](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING):

```bash
harlequin -a risingwave "postgres://my-user:my-pass@localhost:5432/my-database"
```

You can also pass all or parts of the connection string as separate options. The following is equivalent to the above DSN:

```bash
harlequin -a risingwave -h localhost -p 5432 -U my-user --password my-pass -d my-database
```

Many more options are available; to see the full list, run:

```bash
harlequin --help
```

For more information, see the [Harlequin Docs](https://harlequin.sh/docs/postgres/index).
streamlit-gpt-vis 0.0.3
Binding for GPT-Vis, Components for GPTs, generative AI, and LLM projects. Not only UI Components.
License: MIT
Requires Python: >=3.7

# streamlit-gpt-vis

[![Latest Stable Version](https://img.shields.io/pypi/v/streamlit-gpt-vis.svg)](https://pypi.python.org/pypi/streamlit-gpt-vis) [![Pypi Download](https://img.shields.io/pypi/dm/streamlit-gpt-vis)](https://pypi.python.org/pypi/streamlit-gpt-vis)

Streamlit binding for [`@AntV/GPT-Vis`](https://github.com/antvis/GPT-Vis) Components for GPTs, generative AI, and LLM projects. Not only UI Components.

## Installation

```sh
pip install streamlit-gpt-vis
```

## Usage

```python
import streamlit as st
from streamlit_gpt_vis import set_gpt_vis

content = '''
# GPT-VIS \n\nComponents for GPTs, generative AI, and LLM projects. Not only UI Components.

Here’s a visualization of Haidilao's food delivery revenue from 2013 to 2022. You can see a steady increase over the years, with notable *growth* particularly in recent years.

\`\`\`vis-chart
{"type": "line","data": [{"time":2013,"value":59.3},{"time":2014,"value":64.4},{"time":2015,"value":68.9},{"time":2016,"value":74.4},{"time":2017,"value":82.7},{"time":2018,"value":91.9},{"time":2019,"value":99.1},{"time":2020,"value":101.6},{"time":2021,"value":114.4},{"time":2022,"value":121}]}
\`\`\`
'''

set_gpt_vis(content)
```

## API

### `set_gpt_vis(content: str, config: dict = None)`

- content：Markdown content
- config: GPT-Vis [ConfigProvider](https://github.com/antvis/GPT-Vis/blob/main/src/ConfigProvider/index.md) config

## License

[MIT](./LICENSE)