semvec/pypi-packages huggingface dataset:
modern-di-faststream 2.7.0
Modern-DI integration for FastStream
Requires Python: <4,>=3.10
Keywords: DI, FastStream, dependency injector, ioc-container, python

"Modern-DI-Faststream"
==
[![Test Coverage](https://codecov.io/gh/modern-python/modern-di-faststream/branch/main/graph/badge.svg)](https://codecov.io/gh/modern-python/modern-di-faststream)
[![MyPy Strict](https://img.shields.io/badge/mypy-strict-blue)](https://mypy.readthedocs.io/en/stable/getting_started.html#strict-mode-and-configuration)
[![Supported versions](https://img.shields.io/pypi/pyversions/modern-di-faststream.svg)](https://pypi.python.org/pypi/modern-di-faststream)
[![downloads](https://img.shields.io/pypi/dm/modern-di-faststream.svg)](https://pypistats.org/packages/modern-di-faststream)
[![GitHub stars](https://img.shields.io/github/stars/modern-python/modern-di-faststream)](https://github.com/modern-python/modern-di-faststream/stargazers)

Integration of [Modern-DI](https://github.com/modern-python/modern-di) to FastStream

## 📚 [Documentation](https://modern-di.readthedocs.io)
ajaykulalhdt 0.0.1
A professional-grade AI utility for automated data synchronization and backend management.
Requires Python: >=3.8
Keywords: automation, api-client, sync, tooling



# Installation


To install requirements: `python -m pip install requirements.txt`

To save requirements: `python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt`

* Note we use Python 3.9.4 for our experiments

# Running the code 

For remaining experiments: 

Navigate to the corresponding directory, then execute: `python run.py -m` with the corresponding `config.yaml` file (which stores experiment configs).

# License

Consult License.md
openlist-ani 1.0.0.post2.dev260214
Add your description here
Requires Python: >=3.11

<h1 align="center">
  Openlist-Ani
</h1>
<p align="center">
  从动漫番剧相关的RSS订阅源中自动获取番剧更新并通过Openlist离线下载至对应网盘
</p>  
<p align="center">
  并结合使用LLM分析资源名，将资源重命名为Emby可解析的格式。
</p>  

--- 

[使用文档](https://github.com/TwooSix/Alist-MikananiRss/wiki/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B)
## 特点
- 自动获取番剧更新并下载至对应网盘
- 通过PushPlus, Telegram等渠道发送更新通知
- 支持PikPak, 115等离线下载
- AI自主分析资源名，并结合搜索TMDB数据库，获取准确的番剧名，季度，集数来实现重命名
- 拥有你的AI智能下载助手，可挂载到telegrambot上，通过自然语言的方式让ai帮你搜索并下载资源

## 准备工作 
1. 请自行参照[Openlist](https://doc.oplist.org/guide)项目文档部署Openlist，并搭建好离线下载
2. 准备好RSS订阅连接

## 如何使用
TODO


## 效果展示
<div align=center>
<img src="https://github.com/TwooSix/Alist-MikananiRss/blob/master/imgs/show_pic1.png"/>
</div>
y_agent_environment 0.4.0
Environmental Abstraction for General Agent.
Requires Python: <4.0,>=3.10
Keywords: python

# Agent Environment

[![Release](https://img.shields.io/github/v/release/Wh1isper/y-agent-environment)](https://img.shields.io/github/v/release/Wh1isper/y-agent-environment)
[![Build status](https://img.shields.io/github/actions/workflow/status/Wh1isper/y-agent-environment/main.yml?branch=main)](https://github.com/Wh1isper/y-agent-environment/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/Wh1isper/y-agent-environment/branch/main/graph/badge.svg)](https://codecov.io/gh/Wh1isper/y-agent-environment)
[![Commit activity](https://img.shields.io/github/commit-activity/m/Wh1isper/y-agent-environment)](https://img.shields.io/github/commit-activity/m/Wh1isper/y-agent-environment)
[![License](https://img.shields.io/github/license/Wh1isper/y-agent-environment)](https://img.shields.io/github/license/Wh1isper/y-agent-environment)

Environmental Abstraction for the General Agent.
lpydata-rishik 1.0.0
LPYData - Lightweight student database system
Requires Python: >=3.8

# LPYData

LPYData is a lightweight Python student database system.

## Features

- Add student
- Search student
- Update student
- Delete student
- JSON-based storage

## Installation

pip install lpydata-rishik

## Example Usage

```python
from lpydata import StudentManager

manager = StudentManager()
manager.add_student("S001", "Rishik", 9)
print(manager.get_student("S001"))
tgedr-datasets 0.1.13
datasets to be consumed elsewhere
Requires Python: >=3.11

# datasets

[![cicd](https://github.com/jtviegas/datasets/actions/workflows/cicd.yml/badge.svg)](https://github.com/jtviegas/datasets/actions/workflows/cicd.yml)
![Coverage](./coverage.svg)
[![PyPI](https://img.shields.io/pypi/v/tgedr-dataset)](https://pypi.org/project/tgedr-dataset/)

## datalake pipelines


[![tickers](https://github.com/jtviegas/datasets/actions/workflows/tickers.yml/badge.svg)](https://github.com/jtviegas/datasets/actions/workflows/tickers.yml)
[![prices](https://github.com/jtviegas/datasets/actions/workflows/prices.yml/badge.svg)](https://github.com/jtviegas/datasets/actions/workflows/prices.yml) 
[![articles](https://github.com/jtviegas/datasets/actions/workflows/articles.yml/badge.svg)](https://github.com/jtviegas/datasets/actions/workflows/articles.yml)


### articles

![articles distribution per ticker](assets/articles_distribution.png)

![number of articles found per run](assets/articles_per_time.png)

[download @ hugging face](https://huggingface.co/datasets/jtviegas/ticker_analysis_articles)

### prices

![prices distribution per ticker](assets/prices_distribution.png)

![number of prices found per run](assets/prices_per_time.png)

[download @ hugging face](https://huggingface.co/datasets/jtviegas/ticker_analysis_prices)

### tickers

![tickers distribution](assets/tickers_distribution.png)

![tickers of articles found per run](assets/tickers_per_time.png)

[download @ hugging face](https://huggingface.co/datasets/jtviegas/ticker_analysis_tickers)

## development
- main requirements:
  - _uv_  
  - _bash_
- Clone the repository like this:

  ``` bash
  git clone git@github.com:jtviegas/datasets
  ```
- cd into the folder: `cd datasets`
- install requirements: `./helper.sh reqs`