line_profiler
By rkern
pyflame
By uber-archive
Our great sponsors
| line_profiler | pyflame | |
|---|---|---|
| 1 | 1 | |
| 3,493 | 2,869 | |
| - | - | |
| 0.0 | 0.1 | |
| about 5 years ago | over 4 years ago | |
| Python | C++ | |
| BSD 3-clause "New" or "Revised" 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.
line_profiler
Posts with mentions or reviews of line_profiler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-11.
-
My current python backtesting script - looking for feedback and speed improvements
If you apply something like https://github.com/rkern/line_profiler to your code it will give you a line-by-line breakdown of where the time is being spent in the code.
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).
What are some alternatives?
When comparing line_profiler and pyflame you can also consider the following projects:
memory_profiler - Monitor Memory usage of Python code
py-spy - Sampling profiler for Python programs
profiling
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
python-uncompyle6 - A cross-version Python bytecode decompiler
Sampling Profiler for Python - Simple Python sampling profiler
icecream - 🍦 Never use print() to debug again.
filprofiler - A Python memory profiler for data processing and scientific computing applications
line_profiler vs memory_profiler
pyflame vs py-spy
line_profiler vs py-spy
pyflame vs memory_profiler
line_profiler vs profiling
pyflame vs profiling
line_profiler vs Laboratory
pyflame vs python-uncompyle6
line_profiler vs Sampling Profiler for Python
pyflame vs icecream
line_profiler vs filprofiler
pyflame vs Laboratory