semvec/pypi-packages huggingface dataset:
playmanity-TheLite 0.0.1
Playmanity.py is a Python library for using and creating api scripts & programs with integration of playmanity services. We use official playmanity api
Requires Python: >=3.7

Playmanity.py
=======================================
Playmanity.py is a Python library for using and creating api scripts & programs with integration of playmanity services. We use official playmanity api
kfp-toolbox 0.5.0
The toolbox for kfp (Kubeflow Pipelines SDK)
Requires Python: >=3.7
Keywords: kfp,kubeflow,pipelines

# kfp-toolbox

*kfp-toolbox* is a Python library that provides useful tools for kfp (Kubeflow Pipelines SDK).

[![PyPI](https://img.shields.io/pypi/v/kfp-toolbox)](https://pypi.org/project/kfp-toolbox/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/kfp-toolbox)](https://pypi.org/project/kfp-toolbox/)
[![Python Tests](https://github.com/speg03/kfp-toolbox/actions/workflows/python-tests.yml/badge.svg)](https://github.com/speg03/kfp-toolbox/actions/workflows/python-tests.yml)
[![codecov](https://codecov.io/gh/speg03/kfp-toolbox/branch/main/graph/badge.svg?token=wsW6rjrcBz)](https://codecov.io/gh/speg03/kfp-toolbox)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/speg03/kfp-toolbox/main.svg)](https://results.pre-commit.ci/latest/github/speg03/kfp-toolbox/main)


## Installation

```
pip install kfp-toolbox
```


## Documentation

https://speg03.github.io/kfp-toolbox/


## License

[MIT](https://github.com/speg03/kfp-toolbox/blob/main/LICENSE)


## Author

[speg03](https://github.com/speg03)
grafyaml 0.0.9
Grafyaml takes simple descriptions of Grafana dashboards in YAML format, and uses them to configure grafana.

grafyaml
--------

At a glance
+++++++++++

* Free software: Apache license
* Documentation: http://docs.openstack.org/infra/grafyaml/
* Source: http://git.openstack.org/cgit/openstack-infra/grafyaml
* Bugs: https://storyboard.openstack.org/#!/project/818

Overview
++++++++

``grafyaml`` takes descriptions of `Grafana <https://grafana.com/>`__
dashboards in YAML format, and uses them to produce JSON formatted
output suitable for direct import into Grafana.

The tool uses the `Voluptuous
<https://github.com/alecthomas/voluptuous>`__ data validation library
to ensure the input produces a valid dashboard.  Along with
validation, users receive the benefits of YAML markup such as comments
and clearer type support.

For example, here is a minimal dashboard specification

.. code-block:: yaml

  dashboard:
    time:
      from: "2018-02-07T08:42:27.000Z"
      to: "2018-02-07T13:48:32.000Z"
    templating:
      - name: hostname
        type: query
        datasource: graphite
        query: node*
        refresh: true
    title: My great dashboard
    rows:
      - title: CPU Usage
        height: 250px
        panels:
            - title: CPU Usage for $hostname
              type: graph
              datasource: graphite
              targets:
                - target: $hostname.Cpu.cpu_prct_used


``grafyaml`` can be very useful in continuous-integration
environments.  Users can specify their dashboards via a normal review
process and tests can validate their correctness.

The tool can also take JSON manually exported from the Grafana
interface and load it as a dashboard.  This allows keeping dashboards
that have been edited with the inbuilt editor externally version
controlled.

A large number of examples are available in the OpenStack
`project-config
<https://git.openstack.org/cgit/openstack-infra/project-config/tree/grafana>`__
repository, which are used to create dashboards on
`<http://grafana.openstack.org>`__.
image-processing-louise 0.0.2
Passo a passo passado por Karina Kato.
Requires Python: >=3.8

# Desafio Imagens
Description. 
The package package_name is used to:
	Processing:
		- Histogram matching
		- Structural similarity
		- Resize image

	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install package_name
```
## Author
Louise Pereira das Neves

## License
[MIT](https://choosealicense.com/licenses/mit/)