semvec/pypi-packages huggingface dataset:
djdt-flamegraph 0.2.13
Flamegraphs for Django Debug Toolbar
License: MIT
Keywords: djdt_flamegraph


===============================
DjDT Flame Graph
===============================

.. image:: https://raw.githubusercontent.com/23andMe/djdt-flamegraph/master/fireman.png

Get a flame graph of the current request, right in Django.

.. image:: https://travis-ci.org/23andMe/djdt-flamegraph.svg?branch=master
        :target: https://travis-ci.org/23andMe/djdt-flamegraph

.. image:: https://img.shields.io/pypi/v/djdt_flamegraph.svg
        :target: https://pypi.python.org/pypi/djdt_flamegraph

Screenshot
----------

.. image:: https://raw.githubusercontent.com/23andMe/djdt-flamegraph/master/flamegraph-screenshot.png

Features
--------

* Uses https://github.com/brendangregg/FlameGraph to generate a flamegraph right in the debug panel.

Install
-------
* Add ``djdt_flamegraph`` to your ``requirements.txt``.
* Add ``djdt_flamegraph.FlamegraphPanel`` to ``DEBUG_TOOLBAR_PANELS``.
* Run your server with ``python manage.py runserver --nothreading --noreload``

Notes
-----
* ``ValueError at /: signal only works in main thread``: Flame graphs can only be generated in a single threaded server.
* Flame graphs are disabled by default. You'll have to enable it by clicking the checkbox next to it in the Debug Toolbar.
* Probably won't work on Windows.

Development
-----------
This panel comes with an example Django app to test with. Just run ``make example`` and the server should start running.




History
-------

0.2.5 (2015-10-11)
---------------------

* First release that actually works!

0.2.0 (2015-10-10)
---------------------

* Beta release.

0.1.0 (2015-10-5)
---------------------

* First release on PyPI.
kakakucom 0.2.0
Scriping library for kakaku.com
License: MIT
Requires Python: >=3.7
Keywords: crawler,scriping

# kakaku_robot

Kakaku lobot is a scraping library for https://kakaku.com/

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install kakakucom
```

## Usage

```python
from kakaku_robot.site.ranking import Ranking
result = Ranking().ranking.all_category_ranking(pandas=True)
result.to_csv("kakau_rank.csv")
```

```shell
kakakucom -f all_category_ranking -d [Your output folder]
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## Spark install


## License
[MIT](https://choosealicense.com/licenses/mit/)