Welcome to macOS Optimizer, your go-to resource for optimizing and enhancing your macOS experience. This repository houses a collection of Bash scripts designed to help you squeeze every drop of performance and efficiency out of your Mac.
These scripts cover a wide range of optimizations, including:
- System Tweaks: Disable unnecessary background services and features to free up system resources.
- Power Management: Optimize power settings to extend battery life and improve energy efficiency.
- Network Optimization: Fine-tune network settings for faster and more reliable connectivity.
- Performance Enhancements: Make tweaks to improve overall system responsiveness and speed.
To get started, simply open Terminal and run the following commands:
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Clone the repository:
git clone https://github.com/samihalawa/macos-optimizer.git
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Navigate to the repository directory:
cd macos-optimizer
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Make the script executable:
chmod +x macos_optimizer.sh
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Run the script:
./macos_optimizer.sh
Follow the on-screen prompts to select and apply the optimizations that best suit your needs.
macOS Optimizer is an open-source project, and contributions are welcome:
- Bug Reports: If you encounter any issues or unexpected behavior, please open an issue on GitHub with detailed information.
- Feature Requests: Have an idea for a new optimization or improvement? Let us know by opening an issue and sharing your thoughts.
- Pull Requests: Want to contribute code? Fork the repository, make your changes, and submit a pull request. We'll review your changes and merge them if they align with the project's goals.
macOS Optimizer is released under the MIT License, giving you the freedom to use, modify, and distribute it as you see fit. See the LICENSE file for more details.
We'd like to thank all contributors who have helped shape macOS Optimizer into what it is today. Your input and feedback are greatly appreciated!
While we strive to ensure macOS Optimizer is safe and effective, it's important to exercise caution when making system-level changes. Always back up your data before applying optimizations, and use at your own risk.