pyinstrument
🚴 Call stack profiler for Python. Shows you why your code is slow! (by joerick)
snoop
A powerful set of Python debugging tools, based on PySnooper (by alexmojaki)
pyinstrument | snoop | |
---|---|---|
11 | 7 | |
6,125 | 1,197 | |
- | - | |
7.7 | 0.0 | |
17 days ago | 5 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pyinstrument
Posts with mentions or reviews of pyinstrument.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-05.
-
How to profile an asynchronous FastAPI server
I was wondering if you have any synchronous routes in your app? We have an open issue regarding those and would love some ideas for solutions :)
- How to expand to full traceback
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Graphical Python Profiler
Is there something about the actual profiler that differs from existing tools like pyinstrument [1] or py-spy [2]? I know pyinstrument has various output options and I wonder if it could potentially output something readable by the Firefox Profiler tool.
[1] : https://github.com/joerick/pyinstrument
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DRF Performance (How bad is this code?)
I would highly recommend looking into pyinstrument to profile your requests. I find the reports to be very readable, and it's very easy to setup with Django.
- Looking for app that visualizes python program
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What are some python micro optimisations that you can/may *actually use* in your codebase?
I like to use pyinstrument for profiling. Uses stat sampling so it's quicker and builds a easy to grok report.
- (How to) profile python code?
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Profiling async code with pyinstrument 4.0
Hello! I just released pyinstrument 4.0 on PyPI. pyinstrument was my first successful open-source package and I love seeing how much use it's getting in the community.
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Getting started on profiling with python
PyInstrument, compared to cProfile or Yappi, it's a lot easier to use and requires much less configuration.
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Looking Beyond Nox
Run pytest, under pyinstrument, and generate a webpage that presents performance data, in addition to a separate junit xml report.
snoop
Posts with mentions or reviews of snoop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-07.
- Show HN: A 100% free and interactive Python course for coding beginners
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
- Looking for app that visualizes python program
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
-
Stop Using print() for Debugging When You Can Snoop Instead
We have all used strategic print() statements in our code to make sure our code is running a certain line or to see the value of a variable. This gets a little sloppy and doesn't provide much context into why some code is not behaving as expected. Enter snoop, the super dead simple way to see exactly what the code is doing, the line of code that is executing, and when and what the values of local variables are. This can help us understand the flow of our code and identify issues much faster!
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Icecream: Never use print() to debug again in Python
Try https://github.com/alexmojaki/snoop for both plus more.
What are some alternatives?
When comparing pyinstrument and snoop you can also consider the following projects:
py-spy - Sampling profiler for Python programs
PySnooper - Never use print for debugging again
yappi - Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
python-devtools - Dev tools for python
memray - Memray is a memory profiler for Python
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
austin - Python frame stack sampler for CPython
icecream - 🍦 Never use print() to debug again.
Bazel - a fast, scalable, multi-language and extensible build system
py_better_exchook - nice Python exception hook replacement
junit2html
panopticon - Python tracing module to visualize code execution.