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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.
ycecream
Posts with mentions or reviews of ycecream.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning ycecream 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 ycecream and pyflame you can also consider the following projects:
profiling
py-spy - Sampling profiler for Python programs
icecream - 🍦 Never use print() to debug again.
memory_profiler - Monitor Memory usage of Python code
remote-pdb - Remote vanilla PDB (over TCP sockets).
line_profiler
hunter - Hunter is a flexible code tracing toolkit.
python-uncompyle6 - A cross-version Python bytecode decompiler
flask-debugtoolbar - A toolbar overlay for debugging Flask applications