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Python bindings for Joule Profiler

Python bindings for Joule Profiler, written in Rust with PyO3. Measure the energy and resources a program uses, phase by phase, with the sources implemented by Joule Profiler: RAPL, perf events, procfs, cgroups, NVML and AMD SMI.

There are two ways to profile:

  • JouleProfiler.profile runs a command, and starts a new phase each time the command prints a token.
  • JouleProfiler.session measures the running Python program itself. A new phase starts at each session.phase(...) or joule_profiler.phase(...). session.phases waits for each phase to end, session.poll() returns a phase that already ended, or None without waiting.

Build, test, run

Build

uv venv .venv && source .venv/bin/activate
uv pip install maturin pytest mypy
maturin develop --release

Test

pytest
mypy --strict joule_profiler tests
cargo test

Run

python3 examples/command.py
python3 examples/session.py

Examples

The examples/ directory has one script for each way to profile.

Profiling a command: examples/command.py

"""Profiles a command whose phases start at the tokens it prints."""

import sys

from joule_profiler import JouleProfiler

PROGRAM = """
import time
print("__LOAD__", flush=True)
numbers = [i * i for i in range(1_000_000)]
print("__SOLVE__", flush=True)
total = sum(n % 7 for n in numbers)
print("__REST__", flush=True)
time.sleep(0.2)
"""

if __name__ == "__main__":
    profiler = JouleProfiler(["rapl", "perf", "procfs"])
    run = profiler.profile([sys.executable, "-c", PROGRAM])

    for phase in run:
        print(f"\n{phase.name} ({phase.duration_ms} ms)")
        for source in phase.sources:
            for metric in source.metrics:
                print(f"  {source.name:<7} {metric.name:<22} {metric.value} {metric.unit}")

    print(f"\nexit code {run.summary.exit_code}, {run.summary.duration_ms} ms")

Profiling an already running program itself: examples/session.py

import time
import joule_profiler
from joule_profiler import JouleProfiler

@joule_profiler.phase("load")
def load() -> list[int]:
    return [i * i for i in range(1_000_000)]

def solve(numbers: list[int]) -> int:
    joule_profiler.phase("solve")
    return sum(n % 7 for n in numbers)

if __name__ == "__main__":
    profiler = JouleProfiler(
        ["rapl", "perf", "procfs", "nvml"], define={"sources.procfs.poll_interval": "100ms", "sources.nvml.ignore_on_failure": True}
    )

    with profiler.session() as session:
        session.poll() # return None
        numbers = load()
        # session.poll() # would return the first phase
        solve(numbers)
        session.phase("rest")
        time.sleep(0.2)

    for phase in session.phases:
        metrics = {
            f"{metric.name}": f"{metric.value} {metric.unit}"
            for source in phase.sources
            for metric in source.metrics
        }

        print(f"{phase.name:<16} {phase.duration_ms:6} ms")
        print("{")
        for name, value in metrics.items():
            print(f"    {name!r}: {value!r},")
        print("}\n")

    print(session.summary)

Metadata

Release files for joule-profiler 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for joule-profiler 0.0.1
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joule_profiler-0.0.1-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl PyPy 3.11 PyPy 3.11 7.3 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp315-cp315t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.15 CPython 3.15 free-threading Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp315-cp315-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.15 CPython 3.15 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp314-cp314t-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp314-cp314-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp313-cp313-musllinux_1_2_x86_64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp312-cp312-musllinux_1_2_x86_64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp311-cp311-musllinux_1_2_x86_64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
joule_profiler-0.0.1-cp310-cp310-musllinux_1_2_x86_64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
joule_profiler-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
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joule_profiler-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
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Release files / joule_profiler-0.0.1-cp39-cp39-musllinux_1_2_x86_64.whl

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Release files / joule_profiler-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / joule_profiler-0.0.1-cp38-cp38-musllinux_1_2_x86_64.whl

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