semvec/pypi-packages huggingface dataset:
atomic-operator-art 0.0.2
TEST atomic-operator plugin
License: MIT
Requires Python: >=3.6, <4
Keywords: atomic-red-team,att&ck,test,mitre,executor

# atomic-operator Atomic Red Team

[![PyPI](https://img.shields.io/pypi/v/atomic-operator-art.svg)][pypi status]
[![Status](https://img.shields.io/pypi/status/atomic-operator-art.svg)][pypi status]
[![Python Version](https://img.shields.io/pypi/pyversions/atomic-operator-art)][pypi status]
[![License](https://img.shields.io/pypi/l/atomic-operator-art)][license]

[![Read the documentation at https://atomic-operator-art.readthedocs.io/](https://img.shields.io/readthedocs/atomic-operator-art/latest.svg?label=Read%20the%20Docs)][read the docs]
[![Tests](https://github.com/MSAdministrator/atomic-operator-art/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/MSAdministrator/atomic-operator-art/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi status]: https://pypi.org/project/atomic-operator-art/
[read the docs]: https://atomic-operator-art.readthedocs.io/
[tests]: https://github.com/MSAdministrator/atomic-operator-art/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/MSAdministrator/atomic-operator-art
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

## Features

- TODO

## Requirements

- TODO

## Installation

You can install _atomic-operator Atomic Red Team_ via [pip] from [PyPI]:

```console
$ pip install atomic-operator-art
```

## Usage

Please see the [Command-line Reference] for details.

## Contributing

Contributions are very welcome.
To learn more, see the [Contributor Guide].

## License

Distributed under the terms of the [MIT license][license],
_atomic-operator Atomic Red Team_ is free and open source software.

## Issues

If you encounter any problems,
please [file an issue] along with a detailed description.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[file an issue]: https://github.com/MSAdministrator/atomic-operator-art/issues
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/MSAdministrator/atomic-operator-art/blob/main/LICENSE
[contributor guide]: https://github.com/MSAdministrator/atomic-operator-art/blob/main/CONTRIBUTING.md
[command-line reference]: https://atomic-operator-art.readthedocs.io/en/latest/usage.html
mara-superset 1.0.4
Configuring Apache Superset from a Mara Schema
License: MIT
Requires Python: >=3.6

# Mara Superset

[![mara-superset](https://github.com/mara/mara-superset/actions/workflows/build.yaml/badge.svg)](https://github.com/mara/mara-superset/actions/workflows/build.yaml)
[![PyPI - License](https://img.shields.io/pypi/l/mara-superset.svg)](https://github.com/mara/mara-superset/blob/master/LICENSE)
[![PyPI version](https://badge.fury.io/py/mara-superset.svg)](https://badge.fury.io/py/mara-superset)
[![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://communityinviter.com/apps/mara-users/public-invite)

Automating the setup and configuration of [Apache Superset](https://github.com/apache/superset) instances from the Mara framework.

* Syncing of database
* A Makefile for running Apache Superset locally

&nbsp;

## Features

### Metadata sync

If you have a data warehouse schema defined in [Mara Schema](https://github.com/mara/mara-schema), you can automatically sync column descriptions and metric definitions with the update_metadata function in [mara_superset/metadata.py](mara_superset/metadata.py).

The database is created automatically. Datasets with their columns and metrics are synchronized after the data set table has been added manually via the UI. New columns are only added after executing the *Sync columns from Source* function via the Superset UI in the data set .

## Links

* Documentation: https://mara-superset.readthedocs.io/
* Changes: https://mara-superset.readthedocs.io/en/latest/changes.html
* PyPI Releases: https://pypi.org/project/mara-superset/
* Source Code: https://github.com/mara/mara-superset
* Issue Tracker: https://github.com/mara/mara-superset/issues/