semvec/pypi-packages huggingface dataset:
pyglog 1.0.0
Python generic logger for seamless integration with ELK, OpenSearch, and more.

# **Pyglog: Python Generic Logger**

**Pyglog** is a versatile and modular logging solution for Python applications, designed to meet modern logging needs with flexibility and efficiency. It enables developers to generate logs in specific, customizable formats, ensuring seamless integration with powerful tools such as **ELK Stack**, **OpenSearch**, and other log aggregation systems.

## **Key Features**
- **Customizable Formats**: Define log formats to suit the needs of various systems and workflows.
- **Ease of Integration**: Optimized for seamless injection into ELK Stack, OpenSearch, and similar platforms.
- **Singleton Pattern**: Ensures a single logger instance per application or component, reducing configuration redundancy.
- **Dynamic Configuration**: Adapt logging levels and formats dynamically through environment variables or runtime settings.
- **Thread-Safe Design**: Reliable in multithreaded environments, ensuring consistent logging without conflicts.
- **Extensibility**: Ready for integration with additional backends or custom log handlers.

## **Use Cases**
- Centralized logging in **microservices architectures**.
- Debugging and monitoring **distributed systems**.
- Real-time log analysis and visualization with **ELK** or **OpenSearch**.
- Flexible logging for **cloud-native applications**, including **Kubernetes deployments**.

With **Pyglog**, you gain a robust and scalable logging tool tailored for modern software ecosystems. 🚀
tinkoff-acquiring 0.1.5
A Python client for Tinkoff Acquiring API
Requires Python: >=3.10

# Tinkoff Acquiring

A Python client for Tinkoff Acquiring API.

### LATEST CHECHED VERSION 
```sh
pip install tinkoff-acquiring==0.1.0
```

## Installation

```sh
pip install tinkoff_acquiring
```

Use python version >= 3.10

Contant with me - support@sm1ky.com or t.me/sm1ky

I will be very grateful to your star for this repository <3

Project on PyPi - https://pypi.org/project/tinkoff-acquiring/