semvec/pypi-packages huggingface dataset:
contrafacil 1.0
Generador de contraseñas seguras
Requires Python: >=3.6

# pypass

Generador de contraseÃ±as seguras desde la consola o en Python. Permite generar contraseÃ±as con diferentes configuraciones como longitud, inclusiÃ³n de nÃºmeros y caracteres especiales.

## Uso
Esta lib es facilmente utilizable, en consola simplemente use pypass seguido de argumentos, por ejemplo: pypass 16 --con-especiales.
Dentro de un codigo, ocn la lib importada, utilize print(pypass.gen(16, especiales=False)) 

## InstalaciÃ³n

```bash
pip install pypass
voltyl 0.1.0
مكتبة لتحميل الفيديوهات من يوتيوب باستخدام الكوكيز
Requires Python: >=3.6

# Voltyl - مكتبة تحميل الفيديوهات من يوتيوب

Voltyl هي مكتبة Python تتيح لك تحميل الفيديوهات من يوتيوب باستخدام `yt-dlp`، مع دعم لاستخدام ملفات الكوكيز.

## التثبيت
```sh
pip install voltyl


عيش يصحبي كلو ببلاش لف
xgmml 1.0.0
XGMML Reader and Writer
Requires Python: >=3.10
Keywords: xgmml, networkx, igraph

# XGMML <img src="https://raw.githubusercontent.com/leovan/xgmml/main/docs/images/logo.png" align="right" alt="logo" height="100" style="border: none; float: right; height: 100px;" />
![Version](https://img.shields.io/pypi/v/xgmml)
![Python Versions](https://img.shields.io/pypi/pyversions/xgmml)
![License](https://img.shields.io/pypi/l/xgmml)
![Downloads](https://img.shields.io/pypi/dm/xgmml)

---

🇺🇸 [README](README.md) | 🇨🇳 [中文说明](README.zh.md)

## Introduction

**XGMML** is a Python library for parsing and generating XGMML files. It provides a simple and intuitive interface for working with XGMML file, making it easy to read and write XGMML file.

It supports Python 3.10+ and following libraries:

- [NetworkX](https://networkx.org/)
- [igraph](https://igraph.org/)

**XGMML** format keeps graph style which can be imported into [Cytoscape](https://cytoscape.org/) to visualize.

## Usage

Install **XGMML** via pip:

```
pip install xgmml
```

For detailed usage, please refer to the document: <https://xgmml.leovan.tech>.

## License

The MIT License (MIT)

Copyright &copy; 2025，<a href="https://leovan.me" target="_blank">范叶亮 | Leo Van</a>
goshawk 0.1.4.2
SQL Models for humans
Requires Python: <=3.12,>=3.9

# goshawk

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

SQL Model Management for Humans

- **Github repository**: <https://github.com/ebrassell/goshawk/>
- **Documentation** <https://ebrassell.github.io/goshawk/>

## Getting started with Goshawk

### Installation

We recommend installing with [pipx](https://pipx.pypa.io/stable/)

```bash
pipx install gohawk
```

Or install with pip (you should always use a virtual environment)

```bash
pip install gohawk
```

Verify your installation

```bash
goshawk view-model-tree --schemas-only
```

This will display the DAG of the included sample schema

Set MODELS_PATH env var to the folder containing your models.

```bash
`-- models <-set MODELS_PATH to the path to this folder
     -- mydatabase
         -- schema_1
             -- model_1a.sql
             -- model_1b.sql
         -- schema_2
             -- model_2a.sql
             -- model_2b.sql

export MODELS_PATH=models
```

### Create a dev environemnt

```bash
goshawk init-env [envname]
```

### Test your changes (using your dev environment)

```bash
goshawk deploy-models --test --db-env [envname]
```

### Deploy your changes to your dev environment

```bash
goshawk deploy-models --test --db-env [envname]
```

### Destroy your dev environemnt

```bash
goshawk destroy-env [envname]
```
pydatagenius 0.0.3
This is a template repository for Python projects that use uv for their dependency management.
Requires Python: <4.0,>=3.9
Keywords: python

# pydatagenius

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

This is a template repository for Python projects that use uv for their dependency management.

- **Github repository**: <https://github.com/rajeshpv/pydatagenius/>
- **Documentation** <https://rajeshpv.github.io/pydatagenius/>

## Getting started with your project

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/rajeshpv/pydatagenius/settings/secrets/actions/new).
- Create a [new release](https://github.com/rajeshpv/pydatagenius/releases/new) on Github.
- Create a new tag in the form `*.*.*`.

For more details, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv).