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:

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

Usage

To start measuring resources, run:

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 file for details.

Contact

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