semvec/pypi-packages huggingface dataset:
apisani-test-project-25063001 0.2.0
A short description of the project
Requires Python: <4.0,>=3.10

# apisani-test-project-25063001

A short description of the project

## Overview

This documentation covers the apisani-test-project-25063001 library.

## Installation

```bash
pip install apisani-test-project-25063001
```

Or, if you use Poetry:

```bash
poetry add apisani-test-project-25063001
```

## Quick Start

```python
from apisani_test_project_25063001 import Example

# Initialize
example = Example()

# Use the library
result = example.run()
print(result)
```
prophet-cripto 0.1.0
Forecasting & Trade crypto
Requires Python: >=3.8

# Prophet Cripto

## Overview
This project provides a full pipeline for fetching, preparing, and forecasting cryptocurrency (BTC/USDT) prices, and automatically executing trades based on the forecasts.

- **Data Pipeline**: Fetch historical and live data, prepare it for modeling, compute features, and generate meta-data.
- **Models**: Train Prophet, XGBoost, and a meta-model ensemble.
- **Forecasting**: Produce forecasts and signals for trading.
- **Autotrade**: Execute trade cycles against Binance API, monitor orders, and log results.
- **API**: Expose forecasting and historical data access via a REST API.
- **Front-End**: Documented user flows for integrating trading and reporting.

## Repository Structure
```
.
├── src/prophet_cripto
│   ├── pipeline
│   │   ├── data
│   │   ├── models
│   │   ├── forecasting
│   │   └── configs
│   ├── autotrade
│   └── api
├── data
│   ├── BTCUSDT_6h.csv
│   └── historical_data_BTCUSDT.csv
├── models
│   ├── model_prophet_BTCUSDT.pkl
│   ├── model_xgb_BTCUSDT.pkl
│   └── meta_model_BTCUSDT.pkl
├── documentation
│   └── fe-api-and-user-flows.md
├── tests
├── README.md
└── requirements.txt
```

## Setup

1. **Clone the repository**
   ```bash
   git clone <repo-url>
   cd <repo-root>
   ```

2. **Create a virtual environment**
   ```bash
   python3 -m venv venv
   source venv/bin/activate
   ```

3. **Install dependencies**
   ```bash
   pip install -e .
   ```

4. **Configuration**
   - Copy `src/prophet_cripto/pipeline/configs/set_default_configs.py` to `config.yaml` (or set environment variables).
   - Provide your Binance API keys via environment variables:
     ```bash
     export BINANCE_API_KEY=<your-key>
     export BINANCE_API_SECRET=<your-secret>
     ```

## Usage

- **Run full pipeline**
  ```bash
  python -m prophet_cripto.pipeline.run --symbol BTCUSDT --count 1 --interval 6h
  ```

- **Start autotrade loop**
  ```bash
  python -m prophet_cripto.autotrade.autotrade_loop
  ```

- **API server**
  ```bash
  uvicorn src.prophet_cripto.api.main:app --reload
  ```

## Testing

```bash
pytest tests/
```

## Contributing

Please follow the [Contributing Guidelines](CONTRIBUTING.md) and the [Code of Conduct](CODE_OF_CONDUCT.md).

## License

Distributed under the MIT License.
alfaslogger-webgui 0.1.3
Web GUI destekli Alfaslogger paketi
Requires Python: >=3.7

# Alfaslogger WebGUI

Web arayüzü destekli bir logger modülüdür.

## Kurulum

```bash
pip install alfaslogger
```

## Kullanım

```python
from logger_app import Logger

# GUI ile birlikte logger başlat
logger = Logger(name="MyApp", level="DEBUG", gui=True)

# Handler ekle (zorunlu değil, otomatik dosya ve konsol loglaması vardır)
from logger_app import ConsoleHandler, FileHandler

logger.add_handler(ConsoleHandler(level="DEBUG"))
logger.add_handler(FileHandler("my_app", level="INFO"))

# Log yaz
logger.debug("Debug mesajı")
logger.info("Bilgilendirme mesajı")
logger.warning("Uyarı mesajı")
logger.error("Hata mesajı")
logger.critical("Kritik hata mesajı")

# Web GUI'ye erişmek için:
# http://localhost:8000
# WebSocket canlı log: ws://localhost:8001
```

## Özellikler
- Gerçek zamanlı log izleme (WebSocket ile)
- Logları konsola, dosyaya veya SQLite veritabanına yazabilme
- Web tabanlı kullanıcı arayüzü

## Lisans

MIT
conduitpkg 1.0.0
A simple packet manager, works with github to upload packets.
Requires Python: >=3.7

# ConduitPkg

[![PyPI - Version](https://img.shields.io/pypi/v/conduitpkg.svg)](https://pypi.org/project/conduitpkg)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/conduitpkg.svg)](https://pypi.org/project/conduitpkg)

-----

## Table of Contents

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install conduitpkg
```

## License

`conduitpkg` is distributed under the terms of the [GPLv3 or later](https://spdx.org/licenses/GPL-3.0-or-later.html) license.
matsubplots 1.4.0
Better subplots for matplotlib.
Requires Python: >=3.8

# matsubplots

Better subplots for [matplotlib](https://matplotlib.org).

[![license](https://img.shields.io/github/license/auneri/matsubplots)](https://github.com/auneri/matsubplots/blob/main/LICENSE.md)
[![build](https://img.shields.io/github/actions/workflow/status/auneri/matsubplots/main.yml)](https://github.com/auneri/matsubplots/actions)
[![pypi](https://img.shields.io/pypi/v/matsubplots)](https://pypi.org/project/matsubplots)
[![conda-forge](https://img.shields.io/conda/vn/conda-forge/matsubplots)](https://anaconda.org/conda-forge/matsubplots)

## Getting started

Install using `pip install matsubplots` or `conda install -c conda-forge matsubplots`.

See [example notebooks](https://github.com/auneri/matsubplots/tree/main/examples) for basic instructions.

## Releasing a new version

1. Update `project.version` in `pyproject.toml` and `CHANGELOG` with commit message "Release vX.X.X".
2. Add tag vX.X.X with message "Release vX.X.X".
3. Push the tag and create a new release on [matsubplots](https://github.com/auneri/matsubplots).
4. Merge the auto-generated pull request on [matsubplots-feedstock](https://github.com/conda-forge/matsubplots-feedstock).
cordlog 1.0.0
Colored logging formatter for Python
Requires Python: <4.0,>=3.11

### **CordLog - Удобное ведение логов для Discord-ботов**

CordLog — это простой и мощный инструмент для логирования событий, ошибок и другой информации в Discord-ботах. С этим инструментом вы сможете легко отслеживать и анализировать важные действия, происходящие в вашем боте, обеспечивая удобный и структурированный вывод логов.

---

### **Основные возможности:**

* Логирование сообщений, ошибок и событий с детальной информацией.
* Гибкая настройка уровней логирования (info, warn, error).
* Поддержка кастомных выводов логов (консоль, файл и другие).
* Легкая интеграция с любыми Discord-ботами на базе библиотеки Discord.js и тп.

---

### **Почему CordLog?**

CordLog создан с учетом удобства использования и масштабируемости. Он позволяет эффективно следить за работой вашего бота, устранять ошибки и собирать статистику, что делает его идеальным инструментом для разработчиков Discord-ботов всех уровней.

---

### **Требования**

Для работы с CordLog не требуется никаких дополнительных библиотек, но его можно использовать в асинхронном режиме для оптимальной работы.

---

**GitHub репозиторий:** [lordcod/cordlog](https://github.com/lordcod/cordlog)