pytest-codspeed
less_slow.py
| pytest-codspeed | less_slow.py | |
|---|---|---|
| 6 | 2 | |
| 100 | 114 | |
| 2.0% | 0.0% | |
| 8.2 | 7.9 | |
| about 1 month ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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pytest-codspeed
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Pinpoint performance regressions with CI-Integrated differential profiling
pytest-codspeed, plugin for pytest
less_slow.py
-
Show HN: Less Slow C++
Great question! This has been top of mind for me for the last 2–3 years.
Short answer: sadly, no. I love the "usability" promise of coroutines—and even have 2–3 FOSS projects that could be rewritten entirely around C++ or Rust coroutines for better debuggability and extensibility—but my experiments show that the runtime cost of most coroutine‑like abstractions is simply too high. Frankly, I’m not even sure if a better design is possible on modern hardware.
This leads me to conclude that, despite my passion for SIMD and superscalar execution, the highest‑impact new assembly instructions that x86 and Arm could standardize would center on async execution and lightweight context switching... yet I haven’t seen any movement in that direction.
⸻
I also wrote toy examples for various range/async/stream models in C++, Rust, and Python, with measured latencies in inline comments:
- Python: - V0.2: Networking in Python
What are some alternatives?
pytest-benchmark - pytest fixture for benchmarking code
fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
pyperf - Toolkit to run Python benchmarks
benchexec - BenchExec: A Framework for Reliable Benchmarking and Resource Measurement
action - Github Actions for running CodSpeed in your CI
parser - A C++ parser combinator library.