Is there a way to compile a python application into static binary?

If you are on a Mac you can use py2app to create a .app bundle, which starts your Django app when you double-click on it.

I described how to bundle Django and CherryPy into such a bundle at https://moosystems.com/articles/14-distribute-django-app-as-native-desktop-app-01.html

In the article I use pywebview to display your Django site in a local application window.

There are two ways you could go about to solve your problem

1. Use a static builder, like freeze, or pyinstaller, or py2exe
2. Compile using cython

This answer explains how you can go about doing it using the second approach, since the first method is not cross platform and version, and has been explained in other answers. Also, using programs like pyinstaller typically results in huge file sizes, while using cython will result in a file that's much smaller

1. First, install cython.

   sudo -H pip3 install cython
   

2. Then, you can use cython to generate a C file out of the Python .py file (in reference to https://stackoverflow.com/a/22040484/5714445)

   cython example_file.py --embed
   

3. Use GCC to compile it after getting your current python version (Note: The below assumes you are trying to compile it to Python3)

   PYTHONLIBVER=python$(python3 -c 'import sys; print(".".join(map(str, sys.version_info[:2])))')$(python3-config --abiflags)
   gcc -Os $(python3-config --includes) example_file.c -o output_bin_file $(python3-config --ldflags) -l$PYTHONLIBVER
   

You will now have a binary file output_bin_file, which is what you are looking for

Other things to note:

1. Change example_file.py to whatever file you are actually trying to compile.
2. Cython is used to use C-Type Variable definitions for static memory allocation to speed up Python programs. In your case however, you will still be using traditional Python definitions.
3. If you are using additional libraries (like opencv, for example), you might have to provide the directory to them using -L and then specify the name of the library using -l in the GCC Flags. For more information on this, please refer to GCC flags
4. The above method might not work for anaconda python, as you will likely have to install a version of gcc that is compatible with your conda-python.

You're probably looking for something like Freeze, which is able to compile your Python application with all its libraries into a static binary:

PyPi page of Freeze

Python Wiki page of Freeze

Sourceforge page of Freeze

You might wish to investigate Nuitka. It takes python source code and converts it in to C++ API calls. Then it compiles into an executable binary (ELF on Linux). It has been around for a few years now and supports a wide range of Python versions.

You will probably also get a performance improvement if you use it. Recommended.