| pyflame | profiling | |
|---|---|---|
| 1 | - | |
| 2,869 | 3,001 | |
| - | - | |
| 0.1 | 1.5 | |
| over 4 years ago | - | |
| C++ | Python | |
| - | 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.
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).
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.
What are some alternatives?
When comparing pyflame and profiling you can also consider the following projects:
py-spy - Sampling profiler for Python programs
memory_profiler - Monitor Memory usage of Python code
line_profiler
python-uncompyle6 - A cross-version Python bytecode decompiler
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
icecream - 🍦 Never use print() to debug again.
filprofiler - A Python memory profiler for data processing and scientific computing applications