semvec/pypi-packages huggingface dataset:
fastapi-performance-monitor 0.1.3
A plug-and-play performance monitoring tool for FastAPI with a real-time dashboard.
Requires Python: >=3.8

<div align="center">

# FastAPI Performance Monitor

A simple, plug-and-play performance monitoring tool for FastAPI applications
<br />
that provides real-time metrics and a dashboard with zero configuration.

[![CI](https://github.com/parhamdavari/fastapi-performance-monitor/actions/workflows/ci.yml/badge.svg)](https://github.com/parhamdavari/fastapi-performance-monitor/actions/workflows/ci.yml)
[![PyPI version](https://badge.fury.io/py/fastapi-performance-monitor.svg)](https://badge.fury.io/py/fastapi-performance-monitor)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/fastapi-performance-monitor)](https://img.shields.io/pypi/pyversions/fastapi-performance-monitor)
[![PyPI - License](https://img.shields.io/pypi/l/fastapi-performance-monitor)](https://img.shields.io/pypi/l/fastapi-performance-monitor)

</div>

---

## → Getting Started

### Installation

```bash
pip install fastapi-performance-monitor
```

### Usage

In your main application file, import and apply `add_performance_monitor` to your FastAPI app instance.

```python
# main.py
from fastapi import FastAPI
from fastapi_performance_monitor import add_performance_monitor

app = FastAPI()

# Add this single line to enable the monitor
add_performance_monitor(app)

@app.get("/")
def read_root():
    return {"message": "Hello World"}
```

## → Endpoints

Once your application is running, the following endpoints will be available:

- **Dashboard**: `http://localhost:8000/performance`
- **Metrics**: `http://localhost:8000/health/metrics`

The dashboard provides a user-friendly interface to view the metrics, while the JSON endpoint allows for programmatic access, perfect for integrating with alerting or other monitoring systems.
speechttf 0.1.0
Offline speech-to-text tool using browser frontend and Python backend
Requires Python: >=3.6

# speechttf

**speechttf** is a lightweight offline Speech-to-Text tool that uses a browser-based frontend (HTML + JS) and Python backend via Selenium. It is designed to run speech recognition in a loop, capture your speech, and save it to a file or print in the terminal.

---

## 🔧 Features

- 🎙️ Voice recognition using browser's Web Speech API  
- 🔁 Continuous listening loop  
- 📄 Saves recognized speech to a `.txt` file  
- 💻 Terminal support with headless browser (Chrome)

---

## 🚀 Installation

```bash
pip install speechttf
startapp-plus 2.6
Un générateur de structure d'app Django améliorée
Requires Python: >=3.8

````markdown
# startapp_plus

**startapp_plus** est un générateur de structure améliorée pour les applications Django.  
Il permet de créer une arborescence propre et complète avec modèles, vues, templates, statiques, etc.

---

## Installation

```bash
pip install startapp-plus
````

---

## Utilisation

```bash
startapp_plus mon_super_app
```

Cela génère une structure de base comme :

```
mon_super_app/
├── admin.py
├── apps.py
├── models/
├── views/
├── urls.py
├── templates/
├── static/
├── migrations/
├── tests.py
└── __init__.py
```

---

## Fonctionnalités

* Structure améliorée pour une meilleure organisation
* Génération automatique des fichiers courants : `urls.py`, `apps.py`, `admin.py`, `tests.py`, etc.
* Prise en charge des templates et fichiers statiques
* Prise en charge des noms en CamelCase et snake\_case

---

## Auteur

Développé avec ❤️ par **Prince Axel**
📧 [axelvianney49@gmail.com](mailto:axelvianney49@gmail.com)

---
speechtt 0.1.0
Offline speech-to-text tool using browser frontend and Python backend
Requires Python: >=3.6

# speechtt

**speechtt** is a lightweight offline Speech-to-Text tool that uses a browser-based frontend (HTML + JS) and Python backend via Selenium. It is designed to run speech recognition in a loop, capture your speech, and save it to a file or print in the terminal.

---

## 🔧 Features

- 🎙️ Voice recognition using browser's Web Speech API  
- 🔁 Continuous listening loop  
- 📄 Saves recognized speech to a `.txt` file  
- 💻 Terminal support with headless browser (Chrome)

---

## 🚀 Installation

```bash
pip install speechtt