pyflame
By uber-archive
filprofiler
A Python memory profiler for data processing and scientific computing applications (by pythonspeed)
| pyflame | filprofiler | |
|---|---|---|
| 1 | 2 | |
| 2,869 | 812 | |
| - | - | |
| 0.1 | 3.5 | |
| over 4 years ago | 7 months ago | |
| C++ | Rust | |
| - | 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.
pyflame
Posts with mentions or reviews of pyflame.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Does anyone use performance profiling / flamegraphs for optimizing ML algorithms?
I know profiling and continuous profiling have become popular for understanding system-wide performance characteristics. I.e. companies like Neflix, Uber (pyflame) , Doordash, Paypal, and many more use profiling and flamegraphs to optimize their application code often by decreasing latency -- I never hear about them using it for their ML related code (this is what my question is ultimately about).
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 pyflame and filprofiler you can also consider the following projects:
py-spy - Sampling profiler for Python programs
memory_profiler - Monitor Memory usage of Python code
line_profiler
profiling
python-uncompyle6 - A cross-version Python bytecode decompiler
Sampling Profiler for Python - Simple Python sampling profiler
icecream - 🍦 Never use print() to debug again.
pyflame vs py-spy
filprofiler vs py-spy
pyflame vs memory_profiler
filprofiler vs memory_profiler
pyflame vs line_profiler
filprofiler vs profiling
pyflame vs profiling
filprofiler vs line_profiler
pyflame vs python-uncompyle6
filprofiler vs Sampling Profiler for Python
pyflame vs icecream
filprofiler vs python-uncompyle6