semvec/pypi-packages huggingface dataset:
DeepFramework 0.1.7
Python framework for Deep Learning
License: MIT

DeepFramework is an abstract layer designed to be on top of any of your deep learning projects. This framework intends to provide a layer to separate your models logic (what is actually training, predicting...) from all the scripting needed to execute that, so that you can encapsulate and separate the core of your program from everything else. With that you can actually focus on designing your architecture and forget about all the surrounding boilerplate, and what it's more important, it will speed up your prototyping and the scaffolding of your project.
datasquirrel 0.0.1a1
Crypto and standar currency API data getter and saver
License: MIT
Keywords: cryptocurrency api data hdf5

# Data Quirrel

# Installation


`pip install datasquirrel`

# Usage

Something along the lines of:
```
from datasquirrel import luno
from datasquirrel import btcc
import time

start = time.time()-(24*3600*404)

collector = luno.Collector()
collector.new_collection(start) # For new collection
collector.collect() # To continue where last one left off

collector = btcc.Collector()
collector.new_collection(start) # For new collection
collector.collect() # To continue where last one left off
```

# To Do

-   Write a better readme
-   Tests for some of the newly added endpoints
-   Tests for the rate limiter
uploadwithus 0.2.5
CLI to facilitate keeping sendwithus templates and snippets code up to date with an emails repository.
License: MIT

Uploadwithus is a command line tool to facilitate keeping sendwithus templates
and snippets code up to date with an emails repository.  The tool allows you to
maintain your email templates and snippets under a version control system, and
also allows separation of testing and production emails.  For more in depth
information on its usage and features, check out the README.

Copyright (c) 2017, Nick Balboni.
License: MIT (see LICENSE for details)
den 1.3.0
Den is a home for your home's data.
License: MIT
Keywords: nest thermostat smoke alarm camera weather propane monitor

.. image:: https://api.travis-ci.org/krismolendyke/den.png?branch=master
   :target: https://travis-ci.org/krismolendyke/den
   :alt: Travis CI build status

.. image:: https://readthedocs.org/projects/den-nest/badge/?version=latest
   :target: http://den-nest.readthedocs.org/en/latest/
   :alt: Documentation Status
devops-tools 0.1
Devops Tools
License: MIT
Keywords: devops docker

==================================================================
devops-tools: Devops Tools
==================================================================

TODO: Modify the whole file as necessary.

This is a "long description" file for the package that you are creating.
If you submit your package to PyPi, this text will be presented on the `public page <http://pypi.python.org/pypi/python_package_boilerplate>`_ of your package.

Note: This README has to be written using `reStructured Text <http://docutils.sourceforge.net/rst.html>`_, otherwise PyPi won't format it properly.

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

The easiest way to install most Python packages is via ``easy_install`` or ``pip``::

    $ easy_install devops_tools

Usage
-----

```
# show commands
docker_tools -h
docker_tools docker -h

# docker build upd logs
docker_tools docker run -b -u -l

# start container use entrypoint bash
docker_tools docker runbash

# exec to existing container
docker_tools docker execbash
```

The boilerplate code provides a dummy ``main`` function that prints out the word 'Hello'::

    >> from devopstools import main
    >> main()

When the package is installed via ``easy_install`` or ``pip`` this function will be bound to the ``devops_tools`` executable in the Python installation's ``bin`` directory (on Windows - the ``Scripts`` directory).