A Python library for Windows to programmatically limit the CPU usage of running processes
Project description
cpulimiter 🚀
A simple, lightweight Python library for Windows to limit the CPU usage of any running process. Reduce CPU load, save power, and prevent overheating.
🤔 Why cpulimiter?
Have you ever had a program like Google Chrome, a game, or a background task consume 100% of your CPU, making your system unresponsive and your fans spin like a jet engine?
cpulimiter solves this by throttling the application, allowing you to specify exactly how much CPU it can use. This is perfect for:
- 🎮 Capping the CPU usage of games to prevent overheating.
- 🌐 Limiting resource-hungry browsers like Chrome or Edge when running multiple tabs.
- 💼 Running heavy data processing or video encoding tasks in the background without slowing down your machine.
- 🔋 Saving battery life on laptops by reducing the power consumption of demanding applications.
- 🤫 Quieting down noisy CPU fans.
✨ Features
- 🎯 Limit CPU Usage: Throttle process CPU usage to a specific percentage.
- 🔍 Flexible Targeting: Target processes by Process ID (PID), executable name (
"chrome.exe"), or even window title. - 🤝 Multi-Process Management: Control and limit multiple processes at the same time.
- 🛠️ Process Discovery: Includes utility functions to find running applications and the active foreground window.
- 🕊️ Lightweight: Has a minimal performance footprint and no external dependencies.
📦 Installation
pip install cpulimiter
📖 Quick Start
The following example limits all chrome.exe processes to just 5% of a single CPU core's power (a 95% limit).
from cpulimiter import CpuLimiter
import time
# 1. Find all "chrome.exe" processes and limit them to 5% CPU.
# The limit is a percentage (0-100). 95 means "limit by 95%", so it can only use 5%.
limiter = CpuLimiter({"chrome.exe": 95})
# 2. The limiter is now running in the background.
# Let's keep it running for 15 seconds to see the effect.
print("Limiting Chrome's CPU usage for 15 seconds...")
time.sleep(15)
# 3. To stop limiting, simply call the shutdown() method.
limiter.shutdown()
print("CPU limit removed. Chrome is back to normal.")
You can check your Task Manager to see the effect in real-time!
⚙️ How It Works
cpulimiter works by rapidly suspending and resuming the threads of a target process. For example, to achieve a 50% CPU limit, the library suspends the process for 10 milliseconds and then resumes it for 10 milliseconds, effectively cutting its CPU time in half. This cycle is managed by a lightweight, high-precision background thread.
📚 Examples
Check out the examples/ folder for more advanced use cases:
basic_usage.py- A simple, manual introduction to the library's methods.simple_limit.py- Manually limit a list of specific applications.cpu_saver.py- An automatic CPU saver that throttles all applications that are not in the foreground.advanced_interactive.py- An interactive command-line tool for real-time process management.
API Reference
CpuLimiter Class
The primary class for managing process limits.
limiter.add(pid, process_name, window_title_contains, limit_percentage)
Adds a process to the limiter's management list.
pid(int): The Process ID.process_name(str): The executable name (e.g.,"chrome.exe").window_title_contains(str): A substring to match in a window title.limit_percentage(int): The percentage by which to limit the CPU (e.g.,95means the process can use up to 5% of a core).
limiter.start(pid, process_name, window_title_contains)
Starts the CPU limit on a specific, previously added process.
limiter.stop(pid, process_name, window_title_contains)
Stops the CPU limit on a specific process.
limiter.start_all()
Starts the CPU limit on all managed processes.
limiter.stop_all()
Stops the CPU limit on all managed processes.
Utility Functions
get_active_window_info()
Returns a dictionary containing the pid, name, and title of the foreground window.
get_active_app_pids()
Returns a dictionary of all processes with visible windows, mapping their PIDs to their executable names.
🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
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