semvec/pypi-packages huggingface dataset:
ikt 0.2.0
Python tool to detect image content and make tags suggestions.
License: MIT
Requires Python: >=3.7
Keywords: image-recognition,image-classification,image-analysis,image-annotation-tool,image-recognition-tool,image,keywords,tags,recognition,classification,tool

# Image Keyword Tool

[![pypi](https://img.shields.io/pypi/v/ikt.svg)](https://pypi.python.org/pypi/ikt)
[![python](https://img.shields.io/pypi/pyversions/ikt.svg)](https://pypi.python.org/pypi/ikt)
[![GitHub Workflow Status (branch)](https://img.shields.io/github/workflow/status/insspb/ikt/Run%20checks/master)](https://github.com/insspb/ikt)
[![docs](https://readthedocs.org/projects/ikt/badge/?version=latest)](https://ikt.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/insspb/ikt/branch/master/graph/badge.svg)](https://codecov.io/gh/insspb/ikt)
[![Test Coverage](https://api.codeclimate.com/v1/badges/792c94611eaba16a8dc5/test_coverage)](https://codeclimate.com/github/insspb/ikt/test_coverage)
[![Maintainability](https://api.codeclimate.com/v1/badges/792c94611eaba16a8dc5/maintainability)](https://codeclimate.com/github/insspb/ikt/maintainability)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Image Keyword Tool (IKT) is command-line utility that simplify usage of deep
learning libraries for image tags generation.

This tool is in active development. Most futures only in planned state now.

## Features

* Python 3.7+ only
* Linux, Mac and Windows support
* [planned] JPG images recognition and tagging
* [planned] Convert PNG images to JPG images for tagging
* [planned] Write tags to JPGs exif
* [planned] Write tags to separate txt files
* [planned] Recognition threshold configuration
* [planned] Pluggable and selectable IA modules
* [planned] Pluggable modules for stock sites upload

## Installation

```bash
pip install ikt
```

## Usage instructions

```bash
ikt --help
```

## Documentation

Check out the [documentation](https://ikt.readthedocs.io/en/latest/) for more
info.

## Contributions

Contributions are very welcome. Please check
[contributors Guide](CONTRIBUTING.md).

## Code of Conduct

Everyone interacting in the Image Keywords tools project's codebases, issue
trackers, chat rooms, and mailing lists is expected to follow the
[Code of Conduct](CODE_OF_CONDUCT.md).

## License

MIT License

See [LICENSE](https://github.com/insspb/ikt/blob/master/LICENSE) to see the full
text.
edutermclient 0.2.1
Library for connecting to the Eduterm API
License: MIT
Keywords: eduterm client

[![Build Status](https://travis-ci.org/kennisnet/py-eduterm-client.svg?branch=master)](https://travis-ci.org/kennisnet/py-eduterm-client)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/edutermclient.svg)](https://pypi.org/project/edutermclient/)
[![PyPI version](https://img.shields.io/pypi/v/edutermclient.svg)](https://pypi.org/project/edutermclient/)

# EdutermClient
Python library for interfacing with the Eduterm API.

## usage
Initiate the client with a valid api key, and request with a queryname and optional arguments. The response table will allow you to iterate the response rows.
```python
from edutermclient.edutermclient import EdutermClient

c = EdutermClient("4c6ef653-44cf-4537-88f5-379d41575f0a")
c.request("VakLeergebieden", {"onderwijsniveau": "bk:512e4729-03a4-43a2-95ba-758071d1b725"})

for row in c.response_table:
    print(row["vakLabel"])
```
acccmip5 1.0.2
Package for accessing CMIP5 database in real-time
License: MIT

===============================
Access CMIP5
===============================

.. image:: https://img.shields.io/travis/TaufiqHassan/acccmip5.svg
        :target: https://travis-ci.org/TaufiqHassan/acccmip5

.. image:: https://img.shields.io/pypi/v/acccmip5.svg
        :target: https://pypi.python.org/pypi/acccmip5


``acccmip5`` package can access CMIP5 database.

* GitHub repo: https://github.com/TaufiqHassan/acccmip5

Usage
-----
- Follow: https://github.com/TaufiqHassan/acccmip6

License
-------

This code is licensed under the `MIT License`_.

.. _`MIT License`: https://opensource.org/licenses/MIT