/vprof

Visual Python profiler

Primary LanguagePythonBSD 2-Clause "Simplified" LicenseBSD-2-Clause

Build Status PyPI

vprof

vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memory usage. It supports Python 2.7, Python 3.4, Python 3.5 and distributed under BSD license.

The project is in active development and some of it's features might not work as expected.

Screenshots

flame-graph memory-stats code-heatmap

Contributing

All contributions are highly encouraged! You can add new features, report and fix existing bugs and write docs and tutorials. Feel free to open issue or send pull request!

Prerequisites

The required dependencies to build vprof from source code:

  • Python 2.7, Python 3.4 or Python 3.5
  • pip
  • npm >= 3.3.12

npm is needed to build vprof from sources only.

Dependencies

All Python and npm module dependencies are listed in package.json and requirements.txt.

Installation

vprof can be installed from PyPI

pip install vprof

To build vprof from sources, clone this repository and execute

python setup.py deps_install && python setup.py build_ui && python setup.py install

To install just vprof dependencies, run

python setup.py deps_install

Usage

vprof <modes> <test_program>

Supported modes:

  • c - flame graph. Renders running time visualization for <test_program>.
  • m - memory graph. Shows memory usage during execution of each line of <test_program>.
  • h - code heatmap. Shows number of executions of each line of code.

<test_program> can be Python source file (e.g. testscript.py), installed Python package (e.g. runpy) or path to package (e.g. myproject/test_package).

Use double quotes to run scripts with arguments:

vprof -c cmh -s "testscript.py --foo --bar"

Modes can be combined:

vprof -c cm -s testscript.py

vprof can also profile single functions. In order to do this, launch vprof in remote mode:

vprof -r

vprof will open new tab in default web browser and then wait for stats.

To profile a function you can do:

from vprof import profiler

def foo(arg1, arg2):
    ...

profiler.run(foo, 'cmh', args=(arg1, arg2), host='localhost', port=8000)

where cmh is profiling mode, host and port are hostname and port of vprof server launched in remote mode. Obtained stats will be rendered in new tab of default web browser, opened by vprof -r command.

You can check vprof -h for full list of supported parameters.

Testing

Just run:

python setup.py test && python setup.py e2e_test

License

BSD