semvec/pypi-packages huggingface dataset:
markdown-spa 1.4.8
A static site generator for Markdown files.
Requires Python: >=3.8

[![Documentation](https://img.shields.io/badge/Documentation-grey?&logo=read-the-docs)](https://pistre.github.io/markdown_spa/)
[![PyPi Package](https://img.shields.io/badge/pip%20install-markdown__spa-blue?&logo=pypi)](https://pypi.org/project/markdown_spa/)
[![GitHub 
Release](https://img.shields.io/github/v/release/Pistre/markdown_spa?&logo=github)](https://github.com/Pistre/markdown_spa/releases)
[![GitHub 
License](https://img.shields.io/github/license/Pistre/markdown_spa?logo=github)](https://github.com/Pistre/markdown_spa/blob/master/LICENSE)

[markdown_spa](https://pypi.org/project/markdown_spa) is a Python ([`jinja2`](https://pypi.org/project/Jinja2/) + [`markdown`](https://pypi.org/project/Markdown/)) static site generator:

- [x] Powerful templating
- [x] SEO optimized
- [x] No full page reloads
- [x] SCSS and Tailwind CSS support
- [x] Extented Markdown syntax
- [x] Automatic deployment to GitHub Pages

To get started:
```bash
# Create a new project
markdown_spa init my-project

# Start the development server
markdown_spa watch my-project
```
audio-mmap 0.1.0
Memory-mapped audio playback with multi-backend support
Requires Python: >=3.11

# PlayAudio

This package is a pure-Python, cross-platform audio player for Python 3.13.7 and later.  
It uses FFmpeg to decode audio and streams it through one of several available backends (winmm, pyaudio, or sounddevice).

## Key features
- Pure-Python implementation (no compiled extensions).
- Cross-platform support (Windows and Linux, with backend auto-detection).
- Stereo playback with configurable sample rate and volume.
- Most of the processing happens up front when loading a track, so play, pause, and stop respond with low latency.
- Simple interface via `Audio` and `Play_Audio` objects.

This makes it a practical choice when you need a straightforward, stable, and format-flexible audio solution in Python.
airflow-model 0.5.0
Custom Python library to simplify creation of Airflow DAGs and tasks
Requires Python: >=3.11

# Airflow Model

**Airflow Model** is a Python library designed to simplify the creation and management of Apache Airflow DAGs, tasks, and database connections.  
It provides a modular approach for defining DAGs, tasks, and database hooks with customizable parameters.

---

## Features

- Modular DAG creation with full configuration options.
- Task management for Python and Bash operators.
- Database connection management for PostgreSQL with query execution from strings or files.
- Extensible structure to add new operators or connections easily.

---

## Installation

Install using pip:

```bash
pip install airflow-model
financas 0.0.1
Pequeno estudo de um programa de finanças pessoais
Requires Python: >=3.8

# Financas

Description. 
The package financas is used to:
		'''
		- Storage information about one's wallet and it's operations
		- Adding Values and Listing based on user's input
		'''

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install financas
```

## Usage

```python
from package_name import file1_name
file1_name.my_function()
```

## Author
AndrÃ© Boechat

## License
[MIT](https://choosealicense.com/licenses/mit/)
ironbook-a2a-extension 0.0.4
Python A2A extension for Iron Book by Identity Machines
Requires Python: >=3.8

# Iron Book Extension (ironbook-a2a-extension)

## Overview

This extension defines how to enable Iron Book's zero trust policy-based access control for agents.

## Drop-In Implementation Sample with 2 Agents

https://github.com/identitymachines/a2a_ironbook

## Extension URI

The URI of this extension is `https://github.com/identitymachines/ironbook-a2a-extension/v1`.

This is the only URI accepted for this extension.

## Messages Metadata Fields

Messages from the client agent MUST include the following metadata fields:
- Agent DID: `https://github.com/identitymachines/ironbook-a2a-extension/v1/agent-did`
- Auth token: `https://github.com/identitymachines/ironbook-a2a-extension/v1/auth-token`
- Context: `https://github.com/identitymachines/ironbook-a2a-extension/v1/context`

## Process

If a client agent wishes to send a message to a server agent that enforces Iron Book policies, the client agent MUST:

1. [Activate](#extension-activation) the IronBook A2A extension.
1. Use the Iron Book SDK or portal to register the agent.
1. Use the Iron Book SDK to get an auth token.
1. Include the [Message metadata fields](#messages-metadata-fields).

The server agent MUST:

1. Validate that the Message metadata fields are provided.
    1. If fields are missing, it MUST return an error.
1. Use the Iron Book SDK to submit a policy decision request.
    1. If allowed, the Message will be processed.
    1. If denied, it MUST return an error.

## Extension Activation

Clients indicate their desire to receive traceability on response by specifying
the [Extension URI](#extension-uri) via the transport-defined extension
activation mechanism. For JSON-RPC and HTTP transports, this is indicated via
the `X-A2A-Extensions` HTTP header. For gRPC, this is indicated via the
`X-A2A-Extensions` metadata value.