Bug#951348: RFP: scalene -- high-performance, high-precision CPU and memory profiler for Python
Package: wnpp
Severity: wishlist
* Package name : scalene
Version : 0.7.5
Upstream Author : Emery Berger
* URL : https://github.com/emeryberger/scalene
* License : Apache
Programming Lang: Python
Description : high-performance, high-precision CPU and memory profiler for Python
Scalene is a high-performance CPU and memory profiler for Python that does a few
things that other Python profilers do not and cannot do. It runs orders of
magnitude faster than other profilers while delivering far more detailed
information
* Scalene is fast. It uses sampling instead of instrumentation or relying on
Python's tracing facilities. Its overhead is typically no more than 10-20%
(and often less).
* Scalene is precise. Unlike most other Python profilers, Scalene performs CPU
profiling at the line level, pointing to the specific lines of code that are
responsible for the execution time in your program. This level of detail can
be much more useful than the function-level profiles returned by most
profilers.
* Scalene separates out time spent running in Python from time spent in native
code (including libraries). Most Python programmers aren't going to optimize
the performance of native code (which is usually either in the Python
implementation or external libraries), so this helps developers focus their
optimization efforts on the code they can actually improve.
* Scalene profiles memory usage. In addition to tracking CPU usage, Scalene
also points to the specific lines of code responsible for memory growth. It
accomplishes this via an included specialized memory allocator.
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