Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

Performance plots for Python code snippets

Project description


PyPi Version PyPI pyversions GitHub stars PyPi downloads

gh-actions codecov LGTM Code style: black

perfplot extends Python's timeit by testing snippets with input parameters (e.g., the size of an array) and plotting the results.

For example, to compare different NumPy array concatenation methods, the script

import numpy
import perfplot
    setup=lambda n: numpy.random.rand(n),  # or setup=numpy.random.rand
        lambda a: numpy.c_[a, a],
        lambda a: numpy.stack([a, a]).T,
        lambda a: numpy.vstack([a, a]).T,
        lambda a: numpy.column_stack([a, a]),
        lambda a: numpy.concatenate([a[:, None], a[:, None]], axis=1),
    labels=["c_", "stack", "vstack", "column_stack", "concat"],
    n_range=[2 ** k for k in range(15)],
    # logx=False,
    # logy=False,
    # More optional arguments with their default values:
    # title=None,
    # logx="auto",  # set to True or False to force scaling
    # logy="auto",
    # equality_check=numpy.allclose,  # set to None to disable "correctness" assertion
    # show_progress=True,
    # target_time_per_measurement=1.0,
    # time_unit="s",  # set to one of ("auto", "s", "ms", "us", or "ns") to force plot units
    # relative_to=1,  # plot the timings relative to one of the measurements
    # flops=lambda n: 3*n,  # FLOPS plots


Clearly, stack and vstack are the best options for large arrays.

(By default, perfplot asserts the equality of the output of all snippets, too.)

Benchmarking and plotting can be separated. This allows multiple plots of the same data, for example:

out = perfplot.bench(
    # same arguments as above (except the plot-related ones, like time_unit or log*)
    )"perf.png", transparent=True, bbox_inches="tight")

Other examples:


perfplot is available from the Python Package Index, so simply do

pip install perfplot

to install.


To run the perfplot unit tests, check out this repository and type



This software is published under the GPLv3 license.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for perfplot, version 0.8.6
Filename, size File type Python version Upload date Hashes
Filename, size perfplot-0.8.6-py3-none-any.whl (19.5 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size perfplot-0.8.6.tar.gz (20.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page