scope-profiler

Profile Python code regions—and optionally C, Fortran, MPI, NVTX, and LIKWID—with one consistent API and HDF5 output format.

pip install scope-profiler

Quick start

from scope_profiler import ProfileManager

with ProfileManager.session():

    @ProfileManager.profile("main")
    def main():
        with ProfileManager.profile_region("work"):
            sum(range(100))  # replace with the code you want to measure

    main()
# writes profiling_data.h5 and prints a summary

You can also profile a script without changing its source:

scope-profiler run my_script.py
scope-profiler inspect profiling_data.h5
scope-profiler plot default profiling_data.h5 -o figures
scope-profiler report profiling_data.h5 -o report.html

Example output

The plotting tools include duration summaries and timelines for finding expensive regions:

Duration summary

Gantt chart

The overhead benchmark measures the cost of each instrumentation mode:

python examples/benchmark_overhead.py

Profiling overhead by region type

Documentation

Development

pip install -e '.[dev]'
pytest

See AGENTS.md for the measured benchmark workflow used when optimizing this project.

Project links

Data verified by PyPI on Aug 31, 2026
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Key dates

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  • Released:
Newer release available (0.5.0)

1 maintainer

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Credits

Author: Max

GitHub Statistics

Data verified by PyPI on Aug 31, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

fortran compression likwid line-profiler nvtx mcp mpi pproc graph dev docs test tui

Tags

python

Classifiers

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