A tool for measuring and analyzing computational resources.
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.
- Real-time monitoring of CPU usage
- Memory consumption tracking
- Disk I/O performance measurement
- Network bandwidth utilization analysis
- Customizable reporting and visualization
To install measure_resources, follow these steps:
git clone https://github.com/BlueBirdBack/measure_resources.git
cd measure_resources
pip install -r requirements.txtTo start measuring resources, run:
python measure_resources.pyFor more detailed options and configurations, please refer to the documentation.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions or feedback, please open an issue on the GitHub repository.