# measure_resources

A tool for measuring and analyzing computational resources.

## Description

`measure_resources` is a project designed to help users monitor and analyze the usage of various computational resources such as CPU, memory, disk I/O, and network bandwidth. This tool can be useful for performance optimization, capacity planning, and identifying resource bottlenecks in applications or systems.

## Features

- Real-time monitoring of CPU usage
- Memory consumption tracking
- Disk I/O performance measurement
- Network bandwidth utilization analysis
- Customizable reporting and visualization

## Installation

To install `measure_resources`, follow these steps:

```bash
git clone https://github.com/BlueBirdBack/measure_resources.git
cd measure_resources
pip install -r requirements.txt
```

## Usage

To start measuring resources, run:

```bash
python measure_resources.py
```

For more detailed options and configurations, please refer to the documentation.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

If you have any questions or feedback, please open an issue on the GitHub repository.
