Application for Internet speed test using pyspeedtest in Python

We can create a Python application using the pyspeedtest library to assess and evaluate the efficiency of our internet connection. This application allows us to perform instantaneous speed tests with minimal code, offering valuable information regarding our download and upload speeds.

In this article, we will delve into the process of constructing an internet speed test application using pyspeedtest in Python.

pyspeedtest

Pyspeedtest is a Python library that facilitates internet speed testing. It provides a convenient way to measure the download and upload speeds of an internet connection programmatically. With pyspeedtest, developers can incorporate speed testing capabilities into their Python applications or scripts.

The library utilizes the speedtest.net servers to conduct speed tests. It establishes a connection with the nearest speedtest.net server and performs the download and upload tests in real-time. Pyspeedtest measures the time taken to download and upload a predefined file size, allowing for accurate speed calculations.

Using pyspeedtest, developers can retrieve detailed information about the internet connection, including download and upload speeds, latency, and server information. This information can be used for various purposes, such as network troubleshooting, monitoring internet performance, or optimizing bandwidth usage.

How to perform an Internet speed test using pyspeedtest in Python?

Follow the steps given below to perform the Internet speed test using pyspeedtest in Python −

Step 1: Install pyspeedtest library

You need to install the pyspeedtest and speedtest-cli library to perform internet speed tests. You can install it using pip by running the following command in your terminal or command prompt −

pip install pyspeedtest
pip install speedtest-cli

Step 2: Import necessary modules

import speedtest

Step 3: Create a function for the speed test

def perform_speed_test():
   st = speedtest.Speedtest()
   download_speed = st.download() / 1000000  # Convert to Mbps
   upload_speed = st.upload() / 1000000  # Convert to Mbps

   return download_speed, upload_speed

Step 4: Execute the speed test

download_speed, upload_speed = perform_speed_test()

Step 5: Display the results

print("Download Speed: {:.2f} Mbps".format(download_speed))
print("Upload Speed: {:.2f} Mbps".format(upload_speed))

Step 6: Run the program

if __name__ == "__main__":
   download_speed, upload_speed = perform_speed_test()
   print("Download Speed: {:.2f} Mbps".format(download_speed))
   print("Upload Speed: {:.2f} Mbps".format(upload_speed))

When you run the program, it will initiate the speed test using the pyspeedtest library and display the download and upload speeds in Mbps.

Please note that internet speed tests can be affected by various factors, including network congestion and server performance. So, the results may vary each time you run the program.

Below is the full code to perform an internet speed test using pyspeedtest in Python −

Example

import speedtest

def perform_speed_test():
   st = speedtest.Speedtest()
   servers = st.get_best_server()

   print("Testing download speed...")
   download_speed = st.download() / 1000000  # Convert to Mbps
   print("Testing upload speed...")
   upload_speed = st.upload() / 1000000  # Convert to Mbps

   return download_speed, upload_speed

if __name__ == "__main__":
   download_speed, upload_speed = perform_speed_test()
   print("Download Speed: {:.2f} Mbps".format(download_speed))
   print("Upload Speed: {:.2f} Mbps".format(upload_speed))

Output

C:\Users\Tutorialspoint>python mtt.py
Testing download speed...
Testing upload speed...
Download Speed: 170.08 Mbps
Upload Speed: 107.07 Mbps

In the program above, we first imported the speedtest module. Then, we defined a function perform_speed_test() that creates a Speedtest object from speedtest module, measures the download and upload speeds using the download() and upload() methods respectively, and converts the results to Mbps by dividing by 1,000,000.

Finally, in the __main__ block, we called the perform_speed_test() function to get the download and upload speeds, and then we printed the results to the console.

Conclusion

In conclusion, the application we built using the pyspeedtest library allows us to effectively measure and analyze the performance of our internet connection. By conducting real-time speed tests, we gain valuable insights into our download and upload speeds, enabling us to assess the quality of our internet service.

With the ability to easily integrate speed testing functionality into our Python applications, pyspeedtest proves to be a valuable tool for monitoring and optimizing internet performance. By utilizing this library, we can make informed decisions regarding our internet usage and improve our online experience.