jnumpy
hyperfine
| jnumpy | hyperfine | |
|---|---|---|
| 9 | 75 | |
| 227 | 20,116 | |
| 0.0% | - | |
| 3.9 | 8.1 | |
| 27 days ago | 15 days ago | |
| Julia | Rust | |
| MIT License | Apache License 2.0 |
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jnumpy
- Making Python 100x faster with less than 100 lines of Rust
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This Week in Python
jnumpy – Writing Python C extensions in Julia within 5 minutes
- GitHub - Suzhou-Tongyuan/jnumpy: Writing Python C extensions in Julia within 5 minutes.
- JNumPy: Writing high-performance C extensions for Python in minutes
hyperfine
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Measuring startup and shutdown overhead of several code interpreters
Check out the official hyperfine Github repo
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Bun - The One Tool for All Your JavaScript/Typescript Project's Needs?
And then I used hyperfine to run the benchmarks on my MacBook Pro 14 M2 Max, and here are the results:
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Faster tetranucleotide (k-mer) frequencies!
Search "benchmarking tools for linux" and decide that hyperfine is good for what I'm doing. Run Jennifer's new python script against my refactored perl and find that the python is 1.26 times faster for k=3 and 1.47 times faster for k=4. For the Covid-19 sequence, these are both on the order of hundreds of milliseconds.
- Hyperfine: A command-line benchmarking tool
- FLaNK Weekly 08 Jan 2024
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Show HN: Inshellisense – IDE style shell autocomplete
> It is very possible to write sub 100ms procedures in TS, […]
I will not disagree with this statement because I don’t have a way to test inshellisense right now. Could you (or anyone with a working Node + NPM installation) please install inshellisense and post the actual numbers? Perhaps using a tool like hyperfine (https://github.com/sharkdp/hyperfine).
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Firefox has surpassed Chrome on Speedometer
Yeah, while it's not as thorough as these tools, the method is at least reproducible and sane, and with ~10 or so samples, you get an interval with a nice confidence.
Another through method will be hyperfine[0], yet I wanted to provide a method which requires no installation and can be done in a whim, without jumps and hoops, with the tools already at hand.
[0]: https://github.com/sharkdp/hyperfine
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How to optimize your config? What are mistakes to avoid when optimizing your config?
That is native and inbuild but I would suggest below options instead 1. Using lazy's Profile tab instead https://github.com/folke/lazy.nvim 2. Using a dedicated plugin to do this https://github.com/dstein64/vim-startuptime. 3. Using an external program hyperfine is one that I use https://github.com/sharkdp/hyperfine
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How to remove all <br> from all of my .html files
Fair enough, although might I recommend using hyperfine for your testing? ;p
What are some alternatives?
makepackage - Package for easy packaging of Python code
criterion.rs - Statistics-driven benchmarking library for Rust
ideas
fd - A simple, fast and user-friendly alternative to 'find'
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
PythonCall.jl - Python and Julia in harmony.
awesome-mac - Now we have become very big, Different from the original idea. Collect premium software in various categories.
log-booster - An VS code extension to quickly add frequently used log statements
kubeconform - A FAST Kubernetes manifests validator, with support for Custom Resources!
Schemathesis - Supercharge your API testing, catch bugs, and ensure compliance
quinn - Async-friendly QUIC implementation in Rust