py-spy
Sampling profiler for Python programs (by benfred)
filprofiler
A Python memory profiler for data processing and scientific computing applications (by pythonspeed)
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py-spy | filprofiler | |
---|---|---|
25 | 2 | |
11,850 | 812 | |
- | - | |
6.4 | 3.5 | |
17 days ago | 6 months ago | |
Rust | Rust | |
MIT License | Apache License 2.0 |
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.
py-spy
Posts with mentions or reviews of py-spy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-13.
- Minha jornada de otimização de uma aplicação django
- Graphical Python Profiler
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Grasshopper – An Open Source Python Library for Load Testing
For CPU cycles, py-spy[0] is getting more and more used. For RAM, I would like to known too...
[0] -- https://github.com/benfred/py-spy
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Debugging a Mixed Python and C Language Stack
Theres also Py Spy, a profiling tool that can generate flame charts containing a mix of python and C (or C++) calls.
https://github.com/benfred/py-spy
It's worked really well for my needs
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python to rust migration
You should profile your consumer to check the bottlenecks. You can use the excellent py-spy(written in Rust). IMO a few usage of Numba there and there should solve your performance issues.
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Has anyone switched from numpy to Rust?
So as a first step you'll want to profile your program to figure out where it's slow, and hopefully that'll also tell you why it's slow. I'm the (biased) author of the Sciagraph profiler which is designed for this sort of application (https://sciagraph.com) but you can also try py-spy, which isn't as well designed for data processing/analysis applications (e.g. it won't visualize parallelism at all) but can still be informative (https://github.com/benfred/py-spy). Both are written in Rust ;)
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Trace your Python process line by line with minimal overhead!
Any advantages/disadvantages compared to py-spy [1]?
[1]: https://github.com/benfred/py-spy
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Python 3.11 delivers.
Python profiling is enabled primarily through cprofile, and can be visualized with help of tools like snakeviz (output flame graph can look like this). There are also memory profilers like memray which does in-depth traces, or sampling profilers like py-spy.
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Tales of serving ML models with low-latency
A good profiler would be https://github.com/benfred/py-spy . If you run your app/benchmark with it, it should be able to draw a flamegraph telling you where the majority of time is spent. The info here is quite fine grained so it would already tell you where the bottleneck is. Without a full-fledged profiler you can also measure the timings in various parts of the code to understand where the bottleneck is.
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Profiling a Python library written in Rust (Maturin)
Might be worth raising an issue on py-spy (a python profiler written in rust which "supports profiling native python extensions written in languages like C/C++ or Cython" to see if that can close the loop.
filprofiler
Posts with mentions or reviews of filprofiler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-16.
- [P] Memory Profiling for Pandas and Python
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
And if you work with a lot of data (which I understood you do), you can even profile the memory you use to optimize it if needed. There is a great tool for this : https://github.com/pythonspeed/filprofiler
What are some alternatives?
When comparing py-spy and filprofiler you can also consider the following projects:
pyflame
memory_profiler - Monitor Memory usage of Python code
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
profiling
python-uncompyle6 - A cross-version Python bytecode decompiler
line_profiler
icecream - 🍦 Never use print() to debug again.
Sampling Profiler for Python - Simple Python sampling profiler
py-spy vs pyflame
filprofiler vs memory_profiler
py-spy vs pyinstrument
filprofiler vs profiling
py-spy vs python-uncompyle6
filprofiler vs line_profiler
py-spy vs memory_profiler
filprofiler vs pyflame
py-spy vs icecream
filprofiler vs Sampling Profiler for Python
py-spy vs line_profiler
filprofiler vs python-uncompyle6