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| profiling | pyflame | |
|---|---|---|
| - | 1 | |
| 3,001 | 2,869 | |
| - | - | |
| 1.5 | 0.1 | |
| - | 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.
profiling
Posts with mentions or reviews of profiling.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning profiling yet.
Tracking mentions began in Dec 2020.
pyflame
Posts with mentions or reviews of pyflame.
We have used some of these posts to build our list of alternatives
and similar projects.
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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 profiling and pyflame you can also consider the following projects:
py-spy - Sampling profiler for Python programs
line_profiler
memory_profiler - Monitor Memory usage of Python code
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
python-uncompyle6 - A cross-version Python bytecode decompiler
filprofiler - A Python memory profiler for data processing and scientific computing applications
icecream - 🍦 Never use print() to debug again.