Skip to main content

go4py: ⚡ Supercharge your Python with Go ⚡

Do you ever wish Python were faster? go4py is here to help! Enjoy the speed and simplicity of Go within Python! You can write bottlenecks of your Python code as CGo functions. The go4py will automatically generate a Python module from it for you!

Check the performance boost in our benchmarks and get a sense of how much faster it can be compared to basic Python! 🚀

Installation

Linux

  1. Install Go
  2. pip install go4py

Windows

  1. Install Go
  2. Install MSYS2 and then install mingw-toolchain inside it.
  3. Install go4py in a python vitrual exnvironment.
  4. Open a mingw shell and activate the venv inside it (e.g. source venv/Scripts/activate)
  5. Add Go to your PATH in the mingw shell (e.g., export PATH=$PATH:"/c/Program Files/Go/bin/")

Usage

To create a Go package inside your Python project:

 go4py init <module_name>

This will create a directory with the name <module_name> and add go.mod to your project. You can go to <module_name>/src directory and add your Go functions there.

To build the Go package and generate bindings code for the Python module:

 go4py build <module_name>

You can now import the functions as methods of a python module:

from <module_name> import <function_name>

Please note that we convert the function names' first character to lower case.

How it works

There is a Makefile in the created directory with four major steps:

  1. Parsing the Go code and extracting the signatures of the functions (the functions.json file).
  2. Building an object file from Go code (.a and .h files).
  3. Making a C wrapper for the Go functions as a Python native C extension.
  4. Building a shared library from the generated C code (__init__.so file or __init__.pyd file).

The Makefile is actually quite readable, and you can modify it to your needs go4py will just run it

Documentation

This documentation will explain how to use go4py. there is also a examples directory for some examples. But if you need to dive into inner-workings of go4py take a look at the tests directory and checkout the codes that go4py generates automaticly from a go function signature.

Metadata

Release files for go4py 0.1.74

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for go4py 0.1.74
File Size Uploaded Provenance
go4py-0.1.74.tar.gz 20.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for go4py 0.1.74
File Interpreter ABI Platform
go4py-0.1.74-py3-none-any.whl Python 3 none any Details

Total release size: 39.0 kB

Release files / go4py-0.1.74.tar.gz

Download URL go4py-0.1.74.tar.gz
Size 20.0 kB
Tags Source
SHA-256 checksum
How to use checksums
08c7baec54b92fd8e915093a3a9bf900abcc121fed5d53caeff35183c7fc5276
BLAKE2b-256 checksum
How to use checksums
1819d1b0af496fb5980037c0d24474e877610a94869bf3393b7c64d1837966ac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.13

Release files / go4py-0.1.74-py3-none-any.whl

Download URL go4py-0.1.74-py3-none-any.whl
Size 19.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5f37baa374b1be9bcc4236ba3ad9e0c10336c75d33bc320192a9c4a6edab4d94
BLAKE2b-256 checksum
How to use checksums
b598ae2bd5027da4236d97976f54e7547b56f230b11b45164301f0079656a015
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.13

Security for go4py 0.1.74

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page