nuitka/nuitka-speedcenter — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2026-05-15
Confirm that a code change actually made the Nuitka compiler faster before merging it.
Track how Nuitka's compile speed and memory use change across versions over time.
Compare performance results published on the public speedcenter website.
Run the benchmark suite locally on Linux with Python 3.9 to reproduce reported results.
| nuitka/nuitka-speedcenter | 0marildo/imago | 100/geotwitter | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | Python | Python | Python |
| Last pushed | 2026-05-15 | — | 2015-09-10 |
| Maintenance | Maintained | — | Dormant |
| Setup difficulty | hard | easy | moderate |
| Complexity | 4/5 | 2/5 | 3/5 |
| Audience | developer | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Python 3.9, a Linux environment, and Valgrind, Windows isn't supported yet.
Nuitka Speedcenter is a tool that automatically measures how fast the Nuitka compiler (a tool that converts Python to compiled C code) performs, then displays those results on a public website. Think of it like a continuous performance report card that shows whether Nuitka is getting faster or slower over time. Here's how it works: The tool runs a collection of performance tests on the Nuitka compiler, measuring things like how long compilation takes and how much memory it uses. It uses a tool called Valgrind (a performance measurement utility) to get precise measurements on Linux. Once the tests complete, the results get published to a website at speedcenter.nuitka.net, where anyone can see performance trends and comparisons. This project is primarily designed to run automatically on CI servers, systems that constantly test software as developers make changes. Developers working on Nuitka or curious about its performance can visit the website to see how different versions compare. For example, a Nuitka contributor might check the speedcenter to confirm their optimization actually made the compiler faster before merging code. The README indicates this is a relatively new and rough project that needs improvement. The author acknowledges the user interface isn't polished yet and invites others to help refine it. Some of the pending challenges include better test case generation, improving how performance data is displayed on the website, and figuring out how to measure performance accurately on Windows (since Valgrind only works on Linux). Right now it's more of a behind-the-scenes tool than something designed for casual interactive use, though developers can run it locally if they have Python 3.9 and the Linux environment set up.
A CI tool that continuously measures the speed and memory use of the Nuitka Python compiler and publishes the results to a public performance tracking website.
Mainly Python. The stack also includes Python, Valgrind, CI.
Maintained — commit in last 6 months (last push 2026-05-15).
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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