
Photo by Author | Canva
Thanks to its simple syntax and powerful abilities, Azgar has become one of the world’s most famous programming languages. Although many people know Azigar for web development, machine learning, and data science, it is also a language for automation. From automating website testing and stress testing web applications, smooth desktop workflows and testing self -proclaiming projects, the automation tools are present everywhere in the modern developer’s tool kit.
In this article, we will look for the top 5 Automation tools that every developer should know. These tools are widely used throughout the industry and can help you automatically make tasks in almost every project.
1. Selenium: Gold quality for web automation
The industry is the industry’s leading tool to automate web browsers with selenium. This allows you to imitate the user’s conversation, such as clicking on buttons, filling forms, and naving the pages to all major browsers. Companies use selenium for web applications for functional testing, regression testing, and ongoing monitoring. Its flexibility, scale, and strong community support make it an essential source for modern web development and quality assurance.
2.
Tudy Performance and Load Testing is an open source tool for web applications. You can easily write the user’s behavior scenario and copy thousands or millions of users to put pressure on your system.
I use locust to test my machine learning and points. It’s easy to set up and run, and it has helped me create a sharp, strong APIS. Loddy also allows me to imitate the user’s malicious behavior, which is useful for security testing and improvement.
3. Pyotogei: without any desktop GUI automation
PY PEOTOGI is your go -to -up library to automate tasks on your desktop. It allows you to control the mouse and keyboard, take screenshots, and automatically automate GUI tasks in Windows, Macos and Linux. Whether you need to automate data entry, test desktop apps, or make custom workflows, Paitogoi makes desktop automation accessible and powerful.
4. Drama
Microsoft’s playwright, a modern automation tool that supports chromium, firefox, and web kit browsers. With the new playwright MCP (Model Context Protocol) server, you can connect drama Wright with desktop apps such as cloud desktop or cursor, which will enable AI agents or scripts to control the browser using structural commands.
You can also write tests from automatic waiting, parallel processing, and real cross browser support, from a reliable end to the end in the javas script.
5. Pistil: Flexible test framework
Pistin is a powerful and expansable testing framework for Azigar. It makes it easy to write and manage test matters, supports fixtures for setup and tears, and has a rich plug -in ecosystem. Perfection unit, functional, and integration testing is excellent, whether you are testing AI agents, web apps, rest apis, or machine learning workflows. I use the pie test in almost every project to catch the worm quickly and make sure that with minimal hassle, my dock’s images are constructed properly and deployed.
Conclusion
These five automation tools are necessary for everyone who wants to check and automatically automatically check in 2025. Whether you are working on a web, desktop, or performance testing, these tools will help you take your automation skills to the next level. Just specify your user’s behavior in the script, and let these tools handle the rest, making your workflow faster, more reliable and ready to ship.
Abid Ali Owan For,,,,,,,,,, for,, for,,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,,, for,,,, for,,,, for,,,, for,, for,.@1abidaliawan) A certified data scientist is a professional who loves to create a machine learning model. Currently, he is focusing on creating content and writing technical blogs on machine learning and data science technologies. Abid has a master’s degree in technology management and a bachelor’s degree in telecommunications engineering. Its vision is to create AI products using a graph neural network for students with mental illness.