line_profiler
ogv.js
line_profiler | ogv.js | |
---|---|---|
17 | 7 | |
2,481 | 1,180 | |
1.3% | - | |
8.2 | 7.2 | |
8 days ago | 8 days ago | |
Python | JavaScript | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
line_profiler
- Ask HN: C/C++ developer wanting to learn efficient Python
- New version of line_profiler: 4.1.0
-
Making Python 100x faster with less than 100 lines of Rust
LineProfiler is the best tool to learn how to write performant Python and code optimization.
https://github.com/pyutils/line_profiler
You can literally see the hot spot of your code, then you can grind different algorithms or change the whole architecture to make it faster.
For example replace short for loops to list comprehensions, vectorize all numpy operations (only vectorize partially do not help the issue), using 'not any()' instead or 'all()' for boolean, etc.
Doing this for like 2 weeks, basically you can automatically recognized most bad code patterns in a glance.
-
Why is my Pubmed plant search app so slow?
You may want to try using a package like line_profiler to narrow down where the time is spent.
-
How to make nested for loops run faster
When tuning for performance, always measure. Never assume you know where the slow parts are. Run a line profiler and see where all the time is actually going.
-
I'm working on a world map generator, but I have one function in particular that is very slow and keeping me from being able to scale my maps to as large as I'd like... is there a way that I can optimize this depth first search function, or another way of grouping contiguous cells based on criteria?
Either way I would highly recommend running a profiler on your code to see where the program is spending most of its time. line_profiler is a very nice one, as it shows you execution time for each line.
-
Is it possible to make a function to check how many lines of code have been executed in the program so far (including said function’s lines)?
There are dedicated tools like line_profiler for python - if this doesn't do exactly what you need it can be easily modified.
-
Why does sklearn.Pipeline with regex outperform spacy for text preprocessing?
It's surprising to me that an sklearn pipeline and a spacy pipeline both doing simple regexing are vastly different in performance. I would go one layer deeper with measurement with something like line_profiler, which I've used to great effect to get line-by-line perf stats. This should illuminate why.
-
Hot profiling for Python
This looks really nice! Does it use line_profiler or is it a different implementation for the profiling? Either way the interface is fantastic!
-
Profiling and Analyzing Performance of Python Programs
# https://github.com/pyutils/line_profiler pip install line_profiler kernprof -l -v some-code.py # This might take a while... Wrote profile results to some-code.py.lprof Timer unit: 1e-06 s Total time: 13.0418 s File: some-code.py Function: exp at line 3 Line # Hits Time Per Hit % Time Line Contents ============================================================== 3 @profile 4 def exp(x): 5 1 4.0 4.0 0.0 getcontext().prec += 2 6 1 0.0 0.0 0.0 i, lasts, s, fact, num = 0, 0, 1, 1, 1 7 5818 4017.0 0.7 0.0 while s != lasts: 8 5817 1569.0 0.3 0.0 lasts = s 9 5817 1837.0 0.3 0.0 i += 1 10 5817 6902.0 1.2 0.1 fact *= i 11 5817 2604.0 0.4 0.0 num *= x 12 5817 13024902.0 2239.1 99.9 s += num / fact 13 1 5.0 5.0 0.0 getcontext().prec -= 2 14 1 2.0 2.0 0.0 return +s
ogv.js
-
"MP3 is dead" missed the real, much better story (2017)
Yeah, that's what they do using this https://github.com/brion/ogv.js/
- Making Python 100x faster with less than 100 lines of Rust
-
Google and Mozilla are working on iOS browsers that aren't based on WebKit
I've been told this at least three times now on HN over the years (pretty soon I'm going to start keeping a list of URLs so people know I'm not exaggerating.) Every single time it turns out that it isn't actually true.
It was added to desktop Safari. iOS Safari supports VP9 only in WebRTC. It may have changed, but I can't find any evidence that it has.
If you see it working somewhere, it is almost definitely using the polyfill[1].
[1]: https://github.com/brion/ogv.js/
-
How to stream OGG on iOS?
I found a library "ogv.js" that says it decodes .ogg/.webm using WebAssembly, and this demo plays on my iPhone SE3 in Safari.
-
Anti-innovative effects of Apple's prohibition of alternative browser engines
I believe Wikipedia has resorted to polyfilling it using this:
https://github.com/brion/ogv.js
That's great and all, but it has limitations, and obviously, is ludicrously less efficient than it should be.
-
Privacy analysis of FLoC
We already have JS/WebGL video decoders (e.g: Broadway.js, OGOV.js). Much of the earlier video playback/acceleration work was getting it accelerated on GPUs-- using DirectX, OpenGL, or other GPU programming standards.
-
WebCodecs is a flexible web API for encoding and decoding audio and video
This is great and overdue. Hopefully all major browsers will add some support for open source/royalty free codecs.
Emscripten/WebAssembly actually worked rather well with audio (OPUS is just awesome) but when it comes to video it's just unfeasible, especially if you are looking at doing low latency streaming. That said, I cannot fail to mention the incredible effort done by ogv.js [1] to make a/v decoding possible almost anywhere.
Looking forward to experiment with this new API.
[1] https://github.com/brion/ogv.js/
What are some alternatives?
SnakeViz - An in-browser Python profile viewer
Broadway - A JavaScript H.264 decoder.
memory_profiler - Monitor Memory usage of Python code
web-codecs - WebCodecs is a flexible web API for encoding and decoding audio and video.
reloadium - Hot Reloading and Profiling for Python
Mail-in-a-Box - Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
pprofile - Line-granularity, thread-aware deterministic and statistic pure-python profiler
numexpr - Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
psutil - Cross-platform lib for process and system monitoring in Python
jnumpy - Writing Python C extensions in Julia within 5 minutes.
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post