eternal-flame-ad/trygopy — explained in plain English
Analysis updated 2026-07-16 · repo last pushed 2018-08-23
Distribute a Python command-line tool as a single executable file to teammates who don't have Python installed.
Compile Python code into a standalone program that runs without requiring a Python environment.
Benchmark compiled Python output against native Python to verify identical results and performance.
| eternal-flame-ad/trygopy | 0xhassaan/nn-from-scratch | 3ks/embedoc | |
|---|---|---|---|
| Stars | — | 0 | — |
| Language | Python | Python | Python |
| Last pushed | 2018-08-23 | — | 2023-06-08 |
| Maintenance | Dormant | — | Dormant |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 2/5 | 4/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires installing both Go and gopy, plus running a binding script to compile Python code into an executable.
This project is a simple test of a tool called gopy, which lets you take Python code and compile it so it runs as a standalone program without needing Python installed. The repo itself doesn't do anything useful beyond demonstrating that the conversion works and produces the same result at roughly the same speed. The way it works is straightforward. You install gopy, run a script that binds your Python code into something the Go programming language can work with, and then build a final executable. The creator ran the same calculation both ways: once through Python directly and once through the compiled executable. Both computed the number 12,195,257, and both took about 24 seconds. The point is to show that the compiled version matches Python's output and performance. Someone might use this approach if they want to distribute a Python program to people who don't have Python installed, or if they want to package a Python tool into a single runnable file. For example, if you built a small command-line utility in Python and wanted to share it with teammates who shouldn't need to set up a Python environment, this kind of toolchain would let you hand them one file that just works. The README doesn't go into detail about what the calculation itself does, what bind.sh contains, or whether there are tradeoffs in using this approach. It's essentially a benchmark sketch rather than a polished project.
A test project showing that Python code can be compiled into a standalone executable using gopy, producing the same results at the same speed as running Python directly.
Mainly Python. The stack also includes Python, Go, gopy.
Dormant — no commits in 2+ years (last push 2018-08-23).
The explanation does not mention any license for this repository.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.