https://github.com/moalfati7/pc-toolkit-pro/releases
🚀 A free PyQt6 desktop app for Windows 10 and Windows 11. It combines real-time system monitoring with powerful cleanup, memory optimization, and smart power management. The goal is clear: help you keep your PC fast, secure, and easy to maintain with a modern, responsive GUI.
Table of Contents
- Overview
- Why choose pc-toolkit-pro
- Key features
- How it works
- System requirements
- Getting started
- Installation and setup
- Daily use and workflows
- Real-time monitoring explained
- Cleanup and optimization details
- Security and privacy stance
- Performance considerations
- Screenshots and visuals
- Extending the project
- Roadmap
- How to contribute
- License
- FAQ
Overview pc-toolkit-pro is built to be a practical companion for Windows users who want a single, cohesive tool to keep a system clean and efficient. The app emphasizes simplicity and speed. It uses real-time data to guide cleanup actions, memory tweaks, and power settings. The aim is to give you tangible improvements in everyday performance without requiring in-depth technical knowledge.
The project targets Windows 10 and Windows 11 users who prefer a desktop experience over browser-based tools. It is crafted with PyQt6 to deliver a native feel, smooth animations, and a responsive interface. The design prioritizes clarity. Every control is labeled clearly, with direct actions and quick feedback.
Why choose pc-toolkit-pro
- Real-time insight: See how your system responds to workloads as you interact with the tool. The UI foregrounds measurements that matter, such as memory usage, CPU load, and disk activity.
- All-in-one approach: Disk cleanup, temporary file removal, memory optimization, and power management are available in a single app. You don’t need multiple tools or separate utilities.
- Free and open platform: The app is available at no cost and aims to stay accessible to a broad audience. It focuses on practical value rather than flashy features.
- Modern, approachable UI: The interface is designed to be intuitive. Even first-time users can begin with confidence and grow toward more advanced capabilities over time.
- Safety-minded defaults: Actions are designed to minimize risk, with clear prompts and reversible steps where possible. The goal is to improve performance without sacrificing stability.
Key features
- Real-time monitoring: Live graphs and metrics reveal how processes use CPU, memory, and I/O. You can observe trends, spot spikes, and correlate them with running apps.
- Disk cleanup: Scan for unnecessary files, including temporary data and residual items. The cleanup flow is incremental and auditable so you can review what will be removed before you act.
- Temp file removal: Target stale or duplicate temp files safely, with safeguards to prevent the accidental removal of important data.
- Memory optimization: Techniques to free unused memory, reclaim cache, and optimize paging behavior. The goal is to improve responsiveness without harming system stability.
- Power management: Settings to balance performance and energy use. You can favor performance for demanding tasks or extend battery life when running on a laptop.
- Security considerations: The app highlights suspicious activity and offers guidance on safe cleanup practices. It also helps you keep sensitive areas protected during maintenance.
- Modern GUI: The interface leverages PyQt6 capabilities to deliver a polished look with responsive controls, clean typography, and accessible color contrast.
- Local-first design: All monitoring and cleaning operations run on the local machine. Data stays on the device unless you explicitly export or share it.
How it works
- Data collection: The app retrieves system metrics from the operating system in a lightweight, non-intrusive way. It uses efficient polling to minimize overhead.
- Decision support: Based on collected data, the app suggests or executes cleanup and optimization tasks. You always have final approval before changes are made.
- Incremental actions: Cleanup and optimization are performed in steps. Each step is reversible if needed and allows you to review outcomes.
- Real-time feedback: As actions execute, the UI updates to reflect changes in memory, CPU usage, and storage. You can observe the impact instantly.
System requirements
- Operating system: Windows 10 or Windows 11
- Architecture: x86_64
- Python-based core (packaged for distribution with the executable) and PyQt6 for the UI
- Minimum memory: 2 GB RAM (system with more RAM will yield better responsiveness)
- Disk space: A small footprint for the application itself plus additional space for caches and cleanup routines
- Display: 1280×720 or higher for optimal layout
- Administrative rights: Not strictly required, but some cleanup operations may require elevated privileges
Getting started
- The primary goal is to offer a straightforward setup that gets you productive quickly.
- If you prefer a ready-to-run experience, download the Windows installer from the Releases section and install it. The process is designed to be quick and simple.
- If you want to inspect or extend the code, you can build from source after installing the required toolchain and dependencies. The project is structured to be approachable for contributors with Python and UI development experience.
Installation and setup
- Download the installer: From the Releases page, fetch the Windows installer and run it. The installer guides you through the setup, including optional components and initial configuration.
- Post-install checks: After installation, launch the app and verify that the main dashboard loads correctly. Confirm that the real-time panels populate with current system data.
- First-run configuration: The initial setup prompts you to tailor cleanup rules, memory optimization preferences, and power plans. You can adjust these later as needed.
- Localization and accessibility: The UI supports multiple languages and includes accessibility-friendly controls like larger buttons and high-contrast color options.
Daily use and workflows
- Launch and observe: Open the app to see real-time visuals of CPU, memory, disk, and network activity. The dashboard provides quick actions for the most common tasks.
- Clean first, then optimize: Start with a cleanup pass to reclaim space. Review a summary of what will be removed, then confirm. After cleanup, check how memory usage has shifted and whether there’s a noticeable improvement.
- Configure automatic routines: Set up scheduled cleanups or optimized power profiles. You can choose frequency and scope to fit your routine.
- Tune memory and performance: Use the memory optimizer to reclaim unused resources. If you run demanding apps, monitor how memory changes and adjust settings accordingly.
- Power management decisions: Switch between performance-focused and efficiency-focused profiles. The right balance depends on your work style and hardware capabilities.
- Safety checks: If a task seems risky, the app will display an explanation of what will happen and offer an option to skip it.
Real-time monitoring explained
- Live metrics: The dashboard shows instantaneous data, including memory usage, available RAM, CPU load, and disk queue lengths.
- Trend analysis: Small, clear charts reveal patterns over minutes or hours. You can compare peak periods to identify opportunities for optimization.
- Process-level visibility: The app highlights heavyweight processes and resource hogs. It provides a quick path to investigate or terminate problematic apps if needed.
- Keyboard shortcuts and quick actions: Common tasks have keyboard shortcuts to speed up repetitive maintenance work.
Cleanup and optimization details
- Disk cleanup mechanics: The app catalogs files that commonly accumulate on Windows systems, such as temporary files, cache, and leftover installation data. It groups items so you can decide what to remove in a sensible order.
- Temp file management: The cleaner targets stale temporary data, ensuring that essential files remain untouched. It presents a clear summary of what is being removed and why.
- Memory reclaim strategies: The optimizer focuses on reclaiming unused or underutilized memory to improve responsiveness. It avoids aggressive swappings that could slow down the system under load.
- Cache management: The tool evaluates cache sizes and hot data regions. It aims to strike a balance between fast access and freeing up memory for active tasks.
- Safe rollback: If a cleanup or optimization step produces an unexpected result, you can revert changes or re-run the operation with adjusted parameters.
Security and privacy stance
- Local-first design: All primary metrics and cleanup actions occur on the user’s device. There is no automatic data sending to external servers.
- Optional telemetry: Any data collection is opt-in and designed to respect user privacy. Clear options exist to review what is collected and how it is used.
- Transparent operations: Every cleanup action includes a description of what will be removed and why. Users retain control over every step.
Performance considerations
- Lightweight footprint: The app minimizes CPU overhead and runs largely in the background without interrupting active work.
- Efficient updates: UI updates are throttled to maintain a smooth experience, even on mid-range hardware.
- Compatibility: The software is designed to work with common Windows configurations and avoids hard dependencies on specific components that could cause issues on older systems.
Screenshots and visuals
- Home dashboard: A clean, modern view showing key stats at a glance. The layout emphasizes readability and quick access to the most used features.
- Cleanup wizard: A guided flow that explains each step, what it affects, and what to expect after cleanup.
- Real-time graphs: Subtle, informative visuals that show memory and CPU trends without overwhelming the user.
- Settings panel: An organized area for tweaking performance, cleanup criteria, and power profiles.
Images
- Dashboard visuals and design cues come from modern PC management UI concepts. In the live project, you will see high-contrast panels, legible typography, and consistent iconography to help navigate options quickly.
- Hero and feature images use freely available visuals that reflect a high-quality desktop application experience. You will see representative scenes of a clean PC, dashboards with charts, and system activity dashboards.
Extending the project
- Modularity: The app is organized into modules that handle monitoring, cleanup, optimization, and power management. Each module exposes a clean interface for future enhancements.
- Plugin potential: A future plan involves lightweight plugins for additional cleanup routines or integration with third-party tools, all managed through a consistent plugin API.
- Testability: The codebase includes unit tests and integration tests to verify core functionality, ensuring changes don’t regress essential behaviors.
- Documentation: The project includes API references, developer guides, and user-facing help. Clear documentation aims to reduce learning curves for new contributors.
Roadmap
- Advanced scheduling: Introduce more flexible scheduling options for cleanup and optimization tasks.
- Custom rule engine: Allow advanced users to define custom rules for when and how to trigger actions.
- Cross-platform variant: Extend the approach to other desktop environments while preserving the Windows-focused feature set.
- Enhanced telemetry controls: Provide more granular privacy settings and transparent data usage dashboards.
- Community themes: Support additional visual themes to match user preferences and accessibility needs.
How to contribute
- Start with issues: Look for tagged issues labeled help-wanted or good-for-review. If you have a fix, create a pull request with a clear description.
- Follow the contribution guide: Provide code comments that explain intent, add tests for new features, and ensure consistency with the project’s style.
- Design reviews: When proposing UI changes, include mockups and rationale for the user experience impact.
- Documentation contributions: Help expand how-to guides, troubleshooting, and developer notes. Clear documentation improves usability for all users.
License
- The project is released under the MIT License. This choice keeps the bar low for adoption and encourages experimentation. It allows you to use, modify, and distribute the software with minimal restrictions.
FAQ
- Do I need Python to run this app? The distributed version ships as a packaged executable that does not require a separate Python installation. If you build from source, Python and PyQt6 are required.
- Is the tool safe to use on laptops? Yes. The power management features include profiles designed to reduce energy consumption without harming performance. Always review cleanup items before proceeding.
- Can I customize what gets cleaned? Yes. The cleanup and optimization workflows include configurable rules and options to fit your needs.
- How do I report issues? Use the Issues tab on GitHub to describe problems, include steps to reproduce, and attach logs if available.
- What if I want to contribute code? Fork the repository, create a feature branch, implement changes, write tests, and open a pull request describing the changes and their impact.
Screenshots gallery
- Gallery page contains visual samples of the home dashboard, cleanup flow, and real-time monitoring in action. Each image illustrates how the app organizes data, presents options, and guides the user through maintenance tasks.
Changelog (high level)
- Version 2.0: Major UI refresh, improved real-time data rendering, expanded cleanup rules, enhanced memory optimization, and refined power management features.
- Version 1.x: Core functionality for monitoring and basic cleanup, with incremental improvements driven by user feedback.
- Future versions: Incremental improvements to performance, stability, and user configurability. Each release expands capabilities while keeping the core experience consistent.
Accessibility considerations
- Clear labels and touch-friendly controls help users with varying levels of accessibility needs.
- Keyboard navigability is designed to be predictable, with logical focus order and helpful tooltips.
- High-contrast themes are available to improve readability in bright or low-light environments.
Security considerations in detail
- Local data handling keeps data on-device by default.
- The app emphasizes safe cleanup operations with explicit previews before removal.
- Users retain control over enabling any optional data sharing or telemetry.
- Regular updates address known vulnerabilities and keep dependencies current.
Performance tuning tips
- Start with the default profile and observe your system's response on typical tasks.
- If you notice sluggishness during cleanup, consider scheduling cleanup during idle periods.
- Use memory optimization during times of high memory pressure to reclaim unused resources.
- For laptops, test power profiles to find the best balance between performance and battery life.
Usage tips for beginners
- Take small steps. Run a cleanup on a non-critical drive first to see results.
- Review each item in the cleanup list. When in doubt, deselect the item and proceed.
- Save your preferred settings as a profile to streamline future maintenance sessions.
- Use real-time monitoring to understand how apps influence system performance.
Advanced usage and troubleshooting
- If the UI behaves sluggishly on older hardware, try reducing the refresh rate of monitoring graphs.
- When integrating with other tools, ensure there are no conflicting background processes that could affect measurements.
- If cleanup misses items you expect, verify that the target directories are included in the scan rules and that file types are properly categorized.
Releases and distribution notes
- The Releases page contains packaged builds for Windows. It is the primary source for installers and updates.
- If you cannot find the installer, you can verify the latest version by checking the repository’s releases section and release notes.
- The release notes describe changes, fixes, and future plans in a concise format to help users decide when to update.
Community and support
- The project welcomes feedback and ideas from users and developers. Engagement helps shape the roadmap and feature set.
- Join discussions through GitHub issues and, when appropriate, pull requests. Clear communication accelerates improvement and helps maintain quality.
- The maintainers aim to respond promptly with clear, actionable guidance and to keep the project approachable for newcomers.
Appendix: terminology and concepts
- Real-time monitoring: The process of collecting and displaying live system metrics to provide immediate feedback on performance changes.
- Cleanup rules: A set of criteria that determine which files or data are eligible for removal.
- Memory optimization: Techniques to reclaim unused or reclaimable memory to improve responsiveness.
- Power management: Settings that influence how the system uses energy, affecting performance and battery life.
- Safe mode operations: Mechanisms to prevent accidental data loss or system instability during maintenance.
Appendix: developer notes
- The codebase follows a modular structure with clear boundaries between the UI layer, the monitoring layer, and the cleanup logic.
- Tests focus on correctness of data collection, UI updates, and safe execution of cleanup actions.
- Documentation is kept in sync with the codebase to help future contributors understand intent and usage.
Appendix: quick references
- Release page: The central hub for installers and updates.
- Documentation: Where to find user guides and developer notes.
- Community discussions: Open channels for questions, ideas, and collaboration.
End of README content.