semvec/pypi-packages huggingface dataset:
dpspecs 0.1.0
Python implementation of the Data Package standard
Requires Python: >=3.8
Keywords: data package,data validation,json schema,json table schema,open data,tabular data package

# dpspecs-py

[![Build](https://img.shields.io/github/actions/workflow/status/frictionlessdata/dpspecs-py/general.yaml?branch=main)](https://github.com/frictionlessdata/dpspecs-py/actions)
[![Coverage](https://img.shields.io/codecov/c/github/frictionlessdata/dpspecs-py/main)](https://codecov.io/gh/frictionlessdata/dpspecs-py)
[![Release](https://img.shields.io/pypi/v/dpspecs.svg)](https://pypi.python.org/pypi/dpspecs)
[![Codebase](https://img.shields.io/badge/codebase-github-brightgreen)](https://github.com/frictionlessdata/dpspecs-py)

Python implementation of the Data Package standard
django-auto-gitlab 1.0.0
Package that helps managing GitLab tasks labels automatically
Requires Python: >=3.7

# django-auto-gitlab

The django-auto-gitlab package is the integration of django and Gitlab that facilitates work with GitLab by automatic labels management. When a merge request is created, it adds `in review` label to appropriate tasks. When a merge request is merged, it adds `merged` label. Also, the package can add some labels to the created issue based on some defined identifiers. More features might appear in the future.

## Dependencies

- Python >= 3.7
- Django >= 3
- Django REST Framework >= 3.11
- python-gitlab
- pyyaml
- retrying
- cerberus

## Installation

1. Install django-auto-gitlab using `pip`:

```shell
pip install django-auto-gitlab
```

2. Add `auto_gitlab` app to the `INSTALLED_APPS` in Django `settings.py`:

```python
 INSTALLED_APPS = [
    "...",
    "auto_gitlab",
    "...",
]
```

That's it! Now you can include appropriate urls in the `urls.py` file and configure your GitLab connection. The [documentation](https://django-auto-gitlab.readthedocs.io/en/latest/) will help you do it.
deepface-customized 0.0.1
Modified DeepFace library for specific custom use
Requires Python: ==3.8.4

Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace.
                        
Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level.
                        
The source code of this library has been modified for the custom use only
importurl 0.1.2
Import python module using url with importurl
Keywords: import,module,url,requests


# ImportURL

[![Discord][1]](<https://discord.com/channels/267624335836053506/>)
[![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)

Hello, From python discord server

## What is importurl ?

importurl is a python module to import python modules using url

### Example

```python
import importurl
example_module = importurl.Module ("https://example.com/module.py")
```

### Documentations

Docs included with markdown format in docs folder

## My profile in python discord server

![AVATAR](https://avatars.githubusercontent.com/u/136630721?v=4)

@Giga Coder

[1]: https://raw.githubusercontent.com/python-discord/branding/main/logos/badge/badge_github.svg
argscalculator 0.0.1
Django project initialize
Requires Python: >=3.6

#Instruction how to use xyzcalculator
##Section telling how to install the module
<p>Just write pip install argscalculator</p>
##Section telling how to use the module
<p>Open terminal and go to directory of which you are using this module. Now  pass the arrguments --x (any float value) --y (any float value) --o (any mathematical function ,eg add , sub , mul , div)
</p>
sherlockai 0.0.2
datasherlock
Keywords: datasherlocks

Sherlock
==========================

## Requirements

Package requirements are handled using pip. To install them do

```
pip install -r requirements.txt
```

## Tests

Testing is set up using [pytest](http://pytest.org) and coverage is handled
with the pytest-cov plugin.

Run your tests with ```py.test``` in the root directory.

Coverage is ran by default and is set in the ```pytest.ini``` file.
To see an html output of coverage open ```htmlcov/index.html``` after running the tests.