semvec/pypi-packages huggingface dataset:
async-graphql 0.1.1
Async GraphQL client
License: MIT


[![CircleCI](https://circleci.com/gh/remorses/async-graphql/tree/master.svg?style=svg)](https://circleci.com/gh/remorses/async-graphql/tree/master)


Make graphql requests asynchronously, python 2.7 and more required.
Soon will come graphql subscriptions.


The library is tiny, memory usage loading the module is also is good:
```
Line #    Mem usage    Increment   Line Contents
================================================
    12     10.9 MiB     10.9 MiB   @profile
    13                             def profiled():
    14     13.0 MiB      2.1 MiB       import asyncio
    15     13.0 MiB      0.0 MiB       async def main(loop):
    16     13.5 MiB      0.5 MiB       from async_graphql import Client, errors
```
This is good when using graphql in lots of replicated micro-services to not go out of memory.
python-json2yaml 0.1.1
A simple command that turn json data to yaml format and vice versa. It can be used in Linux, MacOS and Window.
License: MIT
Keywords: python-json2yaml

python-json2yaml
=================

.. image:: https://travis-ci.org/appstore-zencore/python-json2yaml.svg?branch=master
    :target: https://travis-ci.org/appstore-zencore/python-json2yaml


A simple command that turn json data to yaml format and vice versa. It can be used in Linux, MacOS and Window.


Install
-------

::

    pip install python-json2yaml


Commands
--------

- json2yaml
- yaml2json


Command Helpers
---------------

::

    E:\code\zencore-json2yaml\test>json2yaml --help
    Usage: json2yaml [OPTIONS] [SRC] [DST]

    Options:
    --help  Show this message and exit.

    E:\code\zencore-json2yaml\test>yaml2json --help
    Usage: yaml2json [OPTIONS] [SRC] [DST]

    Options:
    --help  Show this message and exit.

Command Examples
----------------

1. Read json text from stdin and print yaml text to stdout

::

    cat a.json | json2yaml

1. Read json text from stdin and print yaml text to a file

::

    cat a.json | json2yaml - a.txt

1. Read json text from a file and print yaml text to another file

::

    json2yaml a.json a.txt
django-image-optimizer-way2enjoy 1.0.0
Django Image Optimizer (Compressor)
License: MIT
Keywords: image optimizer,django image optimizer,image optimizer

django-image-optimizer-way2enjoy |pypi version|
---------------------------------------

.. |pypi version|
   image:: https://img.shields.io/pypi/v/django-image-optimizer-way2enjoy.svg?style=flat-square
   :target: https://pypi.python.org/pypi/django-image-optimizer-way2enjoy

.. image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square
   :target: https://raw.githubusercontent.com/agusmakmun/django-image-optimizer-way2enjoy/master/LICENSE

.. image:: https://img.shields.io/pypi/pyversions/django-image-optimizer-way2enjoy.svg?style=flat-square
   :target: https://pypi.python.org/pypi/django-image-optimizer-way2enjoy

.. image:: https://img.shields.io/badge/Django-1.8,%201.9,%201.10,%201.11,%202.0-green.svg?style=flat-square
  :target: https://www.djangoproject.com


Django Image Optimizer is a simple Django library that allows optimization
of images by using `way2ENJOY <https://way2enjoy.com/>`_ or `Pillow <pillow.readthedocs.io/>`_.


Installation
------------------------------

Martor is available directly from `PyPI <https://pypi.python.org/pypi/django-image-optimizer-way2enjoy>`_:

1. Installing the package.

::

    $ pip install django-image-optimizer-way2enjoy


2. Don't forget to add ``'image_optimizer'`` to your ``'INSTALLED_APPS'``.

::

    # settings.py
    INSTALLED_APPS = [
        ....
        'image_optimizer',
    ]


3. You have the option to use either way2ENJOY or Pillow for optimizing images.
   Inform ``optimized_image`` which one you want to use by setting the following

::

    # To use way2ENJOY
    OPTIMIZED_IMAGE_METHOD = 'way2enjoy'

Any other string that is set for this setting will mean that optimization does
not occur. If you are unsure of whether you would like to use way2ENJOY or Pillow,
feel free to consult the documentation of each.

If you choose to use way2ENJOY, you will need to get an API key from
way2ENJOY. Visit https://way2enjoy.com/developers for more details on getting an
API key. Once you have done so, add the following setting to your settings
file. Note: it is a good idea to keep this secret

::

    WAY2ENJOY_KEY = 'your-key'


4. You may use the ``OptimizedImageField`` by importing it

::

    from django.db import models

    from optimized_image.fields import OptimizedImageField


    class MyModel(models.Model):
        ...
        image = OptimizedImageField()


and saving images into it, the same way you would to a Django ``ImageField``.
The optimized image will be saved into the ``url`` field in place of the
unoptimized image.


 Note about way2ENJOY API keys: If you obtain the free way2ENJOY API token, you are limited to 500
 image optimizations per month, so this function may fail if you have a
 lot of images. You may either obtain a paid API key, or wait until next month.

This project also taken from: https://github.com/dchukhin/django_optimized_image