semvec/pypi-packages huggingface dataset:
komapy 0.7.3
Python library for creating customizable BPPTKG Monitoring API chart
License: MIT

# KomaPy

KomaPy is Python library for creating customizable BPPTKG Monitoring API chart.

## Use Cases

KomaPy is suitable for the following applications:

* Building automated static chart figures
* Embedding into a web application for generating predefined chart
  configurations
* Quick data analysis and visualization
* Data correlation and processing
* Generating high quality chart for publications
* Many more

## Installation

Install the latest version from PyPI by typing this command:

    pip install -U komapy

## Quick Start

Here it is a quick start example:

```python
from komapy import Chart
from komapy.client import set_api_key

set_api_key('YOUR_API_KEY')

chart = Chart({
    'title': 'RB2',
    'theme': 'seaborn',
    'layout': {
        'data': [
            {
                'series': {
                    'name': 'edm',
                    'query_params': {
                        'benchmark': 'BAB0',
                        'reflector': 'RB2',
                        'start_at': '2019-04-01',
                        'end_at': '2019-08-01',
                        'ci': True
                    },
                    'fields': ['timestamp', 'slope_distance'],
                    'xaxis_date': True
                }
            }
        ]
    }
})

chart.render()
chart.save('RB2.png')
```

## Documentation

Full documentation and tutorials are available at `docs/` directory. You can
build the documentation by running these commands:

    cd /path/to/komapy/
    pip install -r requirements.txt
    sphinx-build -b html docs/ /path/to/build/

You can also view online version at the following
[link](https://bpptkg.gitlab.io/komapy/).

## Contributing

See `CONTRIBUTING.md` to learn how to contribute to this project.

## Support

This project is maintained by Indra Rudianto. If you have any question about
this project, you can contact him at <indrarudianto.official@gmail.com>.

## License

By contributing to the project, you agree that your contributions will be
licensed under its MIT license.
See [LICENSE](https://gitlab.com/bpptkg/komapy/blob/master/LICENSE) for details.
KVDatastore 1.0.1
File based key-value datastore
License: MIT
Keywords: key-value datastore

=================  File based Key Value Datastore   =======================



This is a simple Key value datastore that supports CRD operations(Create, Read, Delete). 
This datastore creates a datastore in your local machine.
Since it is a package, you can initialize by following steps.

	=> open your terminal, run pip install KVDatastore
	=> now open your python, run following code.
	
>>> from KVDatastore import *
>>> object=KVDatastore()
	
	This imports all methods to your code and creates instance of the class

	=> The methods available are,
		--> initdatastore(location)
		--> create(key,value)	
		--> read(key)
		--> delete(key)