Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/nvdv/vprof

Visual profiler for Python
https://github.com/nvdv/vprof

cpu-flame-graph d3 developer-tools javascript profiler python stats visualization

Last synced: about 2 months ago
JSON representation

Visual profiler for Python

Lists

README 

        
[![PyPI](https://img.shields.io/pypi/v/vprof.svg)](https://pypi.python.org/pypi/vprof/)



# 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 3.4+ and distributed under BSD license.



The project is in active development and some of its features might not work as

expected.



## Screenshots

![vprof-gif](http://i.imgur.com/ikBlfvQ.gif)



## 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 an issue or send a pull request!



## Prerequisites

Dependencies to build `vprof` from source code:

 * Python 3.4+

 * `pip`

 * `npm` >= 3.3.12



`npm` is required 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



```sh

pip install vprof

```



To build `vprof` from sources, clone this repository and execute



```sh

python3 setup.py deps_install && python3 setup.py build_ui && python3 setup.py install

```



To install just `vprof` dependencies, run



```sh

python3 setup.py deps_install

```



## Usage



```sh

vprof -c  

```

`` is a combination of supported modes:



* `c` - CPU flame graph  ⚠️ **Not available for windows [#62](https://github.com/nvdv/vprof/issues/62)**



Shows CPU flame graph for ``.



* `p` - profiler



Runs built-in Python profiler on `` and displays results.



* `m` - memory graph



Shows objects that are tracked by CPython GC and left in memory after code

execution. Also shows process memory usage after execution of each line of ``.



* `h` - code heatmap



Displays all executed code of `` with line run times and execution counts.



`` can be Python source file (e.g. `testscript.py`) or path to package

(e.g. `myproject/test_package`).



To run scripts with arguments use double quotes



```sh

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

```



Modes can be combined



```sh

vprof -c cm testscript.py

```



`vprof` can also profile functions. In order to do this,

launch `vprof` in remote mode:



```sh

vprof -r

```



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



To profile a function run



```python

from vprof import runner



def foo(arg1, arg2):

    ...



runner.run(foo, 'cmhp', args=(arg1, arg2), host='localhost', port=8000)

```



where `cmhp` 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.



`vprof` can save profile stats to file and render visualizations from

previously saved file.



```sh

vprof -c cmh src.py --output-file profile.json

```



writes profile to file and



```sh

vprof --input-file profile.json

```

renders visualizations from previously saved file.



Check `vprof -h` for full list of supported parameters.



To show UI help, press `h` when visualizations are displayed.



Also you can check `examples` directory for more profiling examples.



## Testing



```sh

python3 setup.py test_python && python3 setup.py test_javascript && python3 setup.py e2e_test

```



## License



BSD