Empower Your Python Code Everywhere 🐍

This project provides a versatile solution for running Python in legacy or GLIBC incompatible environments, allowing you to execute version-selected Python scripts effortlessly. Whether you're dealing with older systems or specialized setups, this portable standalone Python is designed to work seamlessly across all Linux platforms.

• Seamlessly compatible with legacy systems.
• Ideal for GLIBC-incompatible setups.
• Handpicked Python versions for your needs.
• Works effortlessly across all Linux platforms.

• python-build-standalone
  • The key difference is that project is relay on system's glibc, and this project is not.
  • There would be a painful issue if you want to run the binary on a system with a different glibc version.
    • like: ./python: /lib/x86_64-linux-gnu/libc.so.6: version GLIBC_2.15' not found (required by ./python)`
  • This project is designed to be compatible with legacy systems, and it is also ideal for GLIBC-incompatible setups.
• pyinstaller
  • This is a project porting Python to a standalone binary, but it could not be used to run Python scripts directly.
  • It's impossible to deliver a Python script to the endpoint and manipulate pip to install dependencies or other runtime loading operations.
• nutika
  • This is a project that compiles Python scripts into C code and then compiles them into binaries.
  • It's not a standalone Python, and it's not a Python script that can be run directly.

• Download the latest release (or you would build it yourself, see ci)
• Untar the file, you will see ./opt/python/
• The ./opt/python/ is a standalone Python, you can copy or move it to anywhere you want.
• Run the Python script with the standalone Python:
  • ./opt/python/bin/python ./your_script.py

• bash

Any codes were downloaded from links, follow the license of the original project.

Others are under MIT License.

Get started with Standalone Python today and ensure Python compatibility in any environment! 🚀