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https://github.com/nschloe/tuna

:fish: Python profile viewer
https://github.com/nschloe/tuna

browser profile profiler pypi python

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:fish: Python profile viewer

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README 

        


  tuna

  
Performance analysis for Python.



[![PyPi Version](https://img.shields.io/pypi/v/tuna.svg?style=flat-square)](https://pypi.org/project/tuna)

[![PyPI pyversions](https://img.shields.io/pypi/pyversions/tuna.svg?style=flat-square)](https://pypi.org/pypi/tuna/)

[![GitHub stars](https://img.shields.io/github/stars/nschloe/tuna.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/tuna)

[![Downloads](https://pepy.tech/badge/tuna/month?style=flat-square)](https://pepy.tech/project/tuna)



[![Discord](https://img.shields.io/static/v1?logo=discord&label=chat&message=on%20discord&color=7289da&style=flat-square)](https://discord.gg/hnTJ5MRX2Y)



[![gh-actions](https://img.shields.io/github/actions/workflow/status/nschloe/tuna/test.yml?branch=main&style=flat-square)](https://github.com/nschloe/tuna/actions?query=workflow%3Atests)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)

[![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?style=flat-square)](https://github.com/prettier/prettier)



tuna is a modern, lightweight Python profile viewer inspired by

[SnakeViz](https://github.com/jiffyclub/snakeviz). It handles runtime and import

profiles, has minimal dependencies, uses [d3](https://d3js.org/) and

[bootstrap](https://getbootstrap.com/), and avoids

[certain](https://github.com/jiffyclub/snakeviz/issues/111)

[errors](https://github.com/jiffyclub/snakeviz/issues/112) present in SnakeViz (see

below) and is faster, too.



Create a runtime profile with



```

python -mcProfile -o program.prof yourfile.py

```



or an [import

profile](https://docs.python.org/3/using/cmdline.html#envvar-PYTHONPROFILEIMPORTTIME)

with



```

python -X importtime yourfile.py 2> import.log

```



and show it with



```

tuna program.prof

```



![](https://nschloe.github.io/tuna/screencast.gif)



### Why tuna doesn't show the whole call tree



The whole timed call tree _cannot_ be retrieved from profile data. Python developers

made the decision to only store _parent data_ in profiles because it can be computed

with little overhead. To illustrate, consider the following program.



```python

import time



def a(t0, t1):

    c(t0)

    d(t1)



def b():

    a(1, 4)



def c(t):

    time.sleep(t)



def d(t):

    time.sleep(t)



if __name__ == "__main__":

    a(4, 1)

    b()

```



The root process (`__main__`) calls `a()` which spends 4 seconds in `c()` and 1 second

in `d()`. `__main__` also calls `b()` which calls `a()`, this time spending 1 second in

`c()` and 4 seconds in `d()`. The profile, however, will only store that `c()` spent a

total of 5 seconds when called from `a()`, and likewise `d()`. The information that the

program spent more time in `c()` when called in `root -> a() -> c()` than when called in

`root -> b() -> a() -> c()` is not present in the profile.



tuna only displays the part of the timed call tree that can be deduced from the profile.

SnakeViz, on the other hand, tries to construct the entire call tree, but ends up

providing lots of _wrong_ timings.



| ![](https://nschloe.github.io/tuna/snakeviz-example-wrong.png) |           ![](https://nschloe.github.io/tuna/foo.png)           |

| :------------------------------------------------------------: | :-------------------------------------------------------------: |

|                  SnakeViz output. **Wrong.**                   | tuna output. Only shows what can be retrieved from the profile. |



### Installation



tuna is [available from the Python Package Index](https://pypi.org/project/tuna/), so

simply do



```

pip install tuna

```



to install.



### Testing



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



```

pytest

```



### IPython magics



tuna includes a `tuna` line / cell magic which can be used as a drop-in replacement for

the `prun` magic. Simply run `%load_ext tuna` to load the magic and then call it like

`%tuna sleep(3)` or



```python

%%tuna

sleep(3)

```



`prun` is still used to do the actual profiling and then the results are displayed in

the notebook.



### Development



After forking and cloning the repository, make sure to run `make dep` to install

additional dependencies (bootstrap and d3) which aren't stored in the repo.



### License



This software is published under the [GPLv3 license](https://www.gnu.org/licenses/gpl-3.0.en.html).