Master PyInstaller and create stand-alone Python applications in seconds with these code examples.

Table of content

  1. Introduction
  2. Installing PyInstaller
  3. Creating a Simple Stand-alone Application
  4. Adding Data Files to the Application
  5. Specifying Application Information
  6. Customizing the Build Process
  7. Troubleshooting PyInstaller
  8. Conclusion


PyInstaller is a powerful tool that enables developers to package their Python code into a stand-alone executable that can be distributed easily. It can be used to create cross-platform applications for Windows, Linux, and Mac. PyInstaller is compatible with all the major Python interpreters and supports a wide range of third-party libraries and frameworks.

With PyInstaller, developers can create a single executable file that includes all the necessary dependencies and resources, making it easy for users to install and run the application on their machines. This eliminates the need for users to install and configure Python and its dependencies separately.

In this article, we will explore the basics of PyInstaller and learn how to use it to create stand-alone Python applications. We will also provide some code examples that demonstrate how to package various types of Python applications, including GUI apps and console apps. By the end of this article, you will have a solid understanding of PyInstaller and be able to create your own stand-alone Python applications in seconds.

Installing PyInstaller

Before we can dive into creating stand-alone Python applications with PyInstaller, we first need to install it. The installation process varies depending on your operating system, so we will provide instructions for Windows, macOS, and Linux.


To install PyInstaller on Windows, you will need to use the Command Prompt. Follow these steps:

  1. Open the Command Prompt by pressing the Windows key + R and then typing "cmd" into the Run dialog box.

  2. Type the following command into the Command Prompt and press Enter:

    pip install pyinstaller
  3. Wait for the installation to complete.

  4. Once PyInstaller is installed, you can use it to create stand-alone Python applications.


To install PyInstaller on macOS, follow these steps:

  1. Open the Terminal app by clicking the magnifying glass icon in the top-right corner of the screen and typing "Terminal" into the Spotlight search bar.

  2. Type the following command into the Terminal and press Enter:

    pip install pyinstaller
  3. Wait for the installation to complete.

  4. Once PyInstaller is installed, you can use it to create stand-alone Python applications.


To install PyInstaller on Linux, open a terminal window and type the following command:

pip install pyinstaller

Wait for the installation to complete. Once PyInstaller is installed, you can use it to create stand-alone Python applications.

Now that we have PyInstaller installed, we can start exploring how to use it to create stand-alone Python applications.

Creating a Simple Stand-alone Application

To create a simple stand-alone application using PyInstaller, follow the steps below:

  1. Start by writing your Python code and saving it in a file with a .py extension. For this example, we will create a simple program that prints "Hello, world!" on the screen.

  2. Install PyInstaller by running the command "pip install pyinstaller" in your command prompt or terminal.

  3. Once PyInstaller is installed, navigate to the directory where your Python file is saved and run the command "pyinstaller –onefile" (replace "yourfile" with the name of your Python file).

  4. PyInstaller will package your code and its dependencies into a single executable file. You can find this file in the "dist" folder within your Python file directory.

  5. Double-click on the executable file to run your stand-alone application.

with PyInstaller is as easy as that! You can now distribute your application to others without requiring them to install Python or any dependencies, making it easier for them to use. PyInstaller is a powerful tool that can do much more than what is shown in this example, but this is a great place to start if you're new to it.

Adding Data Files to the Application

In order to include data files in a PyInstaller package, you need to specify which files should be included in the distribution. This can be done using the datas parameter in the Analysis object. Here's an example of how to add a single file to your PyInstaller distribution:

from PyInstaller.utils.hooks import collect_data_files
a = Analysis([''],

The collect_data_files function looks for files in a specified directory and returns a list of file paths relative to that directory. In this example, it would return a list of all files in the /path/to/myapp/mydata directory.

You can also add whole directories of data files by using a wildcard character:

from PyInstaller.utils.hooks import collect_data_files
a = Analysis([''],

This would add all files in the /path/to/myapp/mydata directory and its subdirectories to the PyInstaller distribution.

Once you've specified which data files to include in the distribution, you need to tell your Python code where to find them. You can do this using the sys._MEIPASS variable, which is set by PyInstaller at runtime to the path of the extracted distribution files. Here's an example of how to load a data file included in the distribution:

import os
import sys

if getattr(sys, 'frozen', False):
    # we are running in a bundle
    bundle_dir = sys._MEIPASS
    # we are running in a normal Python environment
    bundle_dir = os.path.dirname(os.path.abspath(__file__))

data_file = os.path.join(bundle_dir, 'mydata', 'myfile.txt')
with open(data_file, 'r') as f:
    contents =

This code checks whether the code is running in an PyInstaller bundle, and if it is, sets bundle_dir to the path of the extracted bundle files using sys._MEIPASS. If not, it sets bundle_dir to the directory where the script is located. Finally, it loads the data file using os.path.join and open().

By following these steps, you can easily add data files to your PyInstaller application and make sure they're found at runtime.

Specifying Application Information

When creating a stand-alone Python application with PyInstaller, it's important to specify certain pieces of information about the application, such as its name, version number, and icon. This can be done using a PyInstaller spec file or by passing command-line arguments to the PyInstaller command.

Here's an example of how to specify application information using a PyInstaller spec file:

# myapp.spec
a = Analysis([''],
a.datas += [('/path/to/myapp/icon.ico', '.', 'DATA')]
pyz = PYZ(a.pure, a.zipped_data,
exe = EXE(pyz,
          console=True )

In this example, we're specifying an icon file for the application to use (myapp/icon.ico) and setting the name of the final executable to myapp.

Alternatively, you can specify application information using command-line arguments like this:

pyinstaller --name=myapp --icon=myapp/icon.ico

This will create an executable named myapp with the specified icon file.

By , you can customize the look and feel of your stand-alone application and make it easier for users to identify and use.

Customizing the Build Process

PyInstaller is a powerful tool for creating stand-alone Python applications. While it provides many built-in options for , sometimes you may need to go beyond what is available out of the box. Fortunately, PyInstaller allows for a great deal of flexibility and customization, allowing you to create the perfect build process for your specific needs.

Here are some ways you can customize the build process in PyInstaller:

  • Spec Files: PyInstaller allows you to generate a spec file, which is a Python script that contains all the information needed to build your application. You can modify this file as needed to customize the build process. For example, you may want to include additional files or modules that are not automatically detected by PyInstaller.

  • Command-Line Options: Most of PyInstaller's options can be passed as command-line arguments. This allows you to easily customize the build process without modifying the spec file. For example, you may want to include a custom icon for your application or specify a different name for the output file.

  • Hooks: PyInstaller uses hooks to detect and include additional files and modules that your application depends on. You can create your own hooks to handle custom modules or files that are not included by default. Hooks can be written in Python or as a shell script.

  • Custom Build Script: PyInstaller provides hooks for running custom build scripts before or after the build process. This allows you to automate tasks such as compiling code, downloading dependencies, or generating documentation.

By using these customization options, you can tailor the PyInstaller build process to your specific needs and create stand-alone Python applications that are perfectly suited for your project.

Troubleshooting PyInstaller

While PyInstaller is relatively straightforward to use, there are some common issues that may arise during the process of creating a stand-alone Python application. Here are some potential problems you may encounter and how to resolve them:

  • Missing modules or libraries: If PyInstaller is not able to locate all of the necessary modules or libraries for your application, it may not run properly once compiled. One way to address this issue is to manually copy the missing files into the build directory before running PyInstaller. Alternatively, you can specify additional paths for PyInstaller to search using the --paths option.

  • Permissions issues: Depending on your operating system and environment, PyInstaller may require elevated permissions to run properly. On Windows, for example, you may need to run PyInstaller as an administrator. Similarly, if you are compiling an application that requires certain permissions (such as accessing the file system or network), you may need to modify the permissions for the compiled binary.

  • Incompatibilities with third-party packages: If you are using third-party packages in your Python application, there may be compatibility issues with PyInstaller. Some packages require specific setup or configuration options in order to be included correctly in the compiled binary. Consult the PyInstaller documentation and the documentation for the specific package you are using for guidance on how to resolve any incompatibilities.

By keeping these potential issues in mind and taking steps to address them, you can ensure that your PyInstaller-based applications run smoothly and reliably.


Mastering PyInstaller is an important skill for any Python developer who wants to create stand-alone applications that can be easily distributed and installed on any platform. With the help of PyInstaller, developers can bundle all the required dependencies and resources along with the application, making it easy to distribute and install.

In this article, we have covered the basic concepts and features of PyInstaller, including how to create a stand-alone application with PyInstaller, how to bundle Python dependencies along with the application, and how to customize the build process using PyInstaller hooks.

We also provided several code examples that demonstrate how PyInstaller can be used in different scenarios, such as creating a stand-alone executable package for a Python script, bundling a Python package along with its dependencies, and including data files and resources in the package.

By mastering PyInstaller, developers can create powerful stand-alone applications in seconds with just a few commands, making their life as developers easier and more efficient. We hope that this article has provided useful insights and examples that will help you get started with PyInstaller and create your own stand-alone Python applications.

As a developer, I have experience in full-stack web application development, and I'm passionate about utilizing innovative design strategies and cutting-edge technologies to develop distributed web applications and services. My areas of interest extend to IoT, Blockchain, Cloud, and Virtualization technologies, and I have a proficiency in building efficient Cloud Native Big Data applications. Throughout my academic projects and industry experiences, I have worked with various programming languages such as Go, Python, Ruby, and Elixir/Erlang. My diverse skillset allows me to approach problems from different angles and implement effective solutions. Above all, I value the opportunity to learn and grow in a dynamic environment. I believe that the eagerness to learn is crucial in developing oneself, and I strive to work with the best in order to bring out the best in myself.
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