scalene VS coveragepy

Compare scalene vs coveragepy and see what are their differences.

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals (by plasma-umass)

coveragepy

The code coverage tool for Python (by nedbat)
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scalene coveragepy
32 7
11,015 2,796
2.0% -
9.3 9.6
4 days ago 6 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

scalene

Posts with mentions or reviews of scalene. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-10.

coveragepy

Posts with mentions or reviews of coveragepy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-14.

What are some alternatives?

When comparing scalene and coveragepy you can also consider the following projects:

flask-profiler - a flask profiler which watches endpoint calls and tries to make some analysis.

palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler

pytest-austin - Python Performance Testing with Austin

memray - Memray is a memory profiler for Python

pyshader - Write modern GPU shaders in Python!

viztracer - VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

Dask - Parallel computing with task scheduling

Keras - Deep Learning for humans

magic-trace - magic-trace collects and displays high-resolution traces of what a process is doing

dask-memusage - A low-impact profiler to figure out how much memory each task in Dask is using

dtale - Visualizer for pandas data structures

NumPy - The fundamental package for scientific computing with Python.