semvec/pypi-packages huggingface dataset:
mbexcelexport2csv 0.3.0
Parses an .xls excel file downloaded from ManageBac and converts to comma-deliminated csv. Particularly useful to convert to GSheets without having to use Excel.
Requires Python: >=3.6.1,<4.0.0

# mbExcelExport2csv

This simple command line tool can be used to take an `.xls` file (that is actually formatted in xml), and output it as a csv. The main use case in mind here is to convert excel files downloaded from ManageBac and upload them to Google Sheets, without having to open Excel.

This tool provides the exact same output if the xls file was opened in Excel, copied, and then pasted into Google Sheets, but without requiring Excel.

## Getting Started

Requires Python 3.6.1 or above. Install Python 3 at python.org. Installing Python also installs a package manager (called pip) that can install the command mbExcelExport2csv into your command line environment.

`pip3 install mbExcelExport2csv`

Then, open the mini app using this command:

`mbExcelExport2csv gui`

For those who want the command line, use: 

`mbExcelExport2csv cmd`

See "Command Line" below for more info

### Upgrade

Should you need to update to the latest version, you can do:

`pip install --upgrade mbExcelExport2csv`


## Command Line

After pip install worked, it is now installed on your path, and the command mbExcelExport2csv is now available:

`mbExcelExport2csv cmd ~/path/to/xml.xls ~/path/to/output.csv`

You can then import the csv file into Google Sheets. The delimiter used is a comma.

Alternatively, on Mac, you can skip the step of saving the csv file, and just run the following fancy command line, and it'll be on your clipboard.

`mbExcelExport2csv cmd ~/path/to/xml.xls - | pbcopy`

Just paste into "A1" cell of your Google Sheet, Data -> Split Text into Columns.
chipeak-data-tool 0.0.3
AI数据转换工具箱
Requires Python: >=3.7

<div align="center">
  <img src="resources/xf_logo_new.jpg" width="600"/>
</div>

## Introduction

English | [简体中文](README_zh-CN.md)

Chipeak_data_tool is an open source toolbox based on the data sets generated by various artificial intelligence annotation tools and the data sets generated by the deep learning image annotation tool labelme.

The main branch code currently supports the mutual conversion of coco dataset and labelme dataset.


### Major features

- **Modular Design**

  Various data sets are decoupled into different module components. By combining different module components, users can easily build custom data set processing.

## License

This project is released under the [GNU General Public License v3.0 2.0](LICENSE).

## Changelog

v1.0 was released in 28/10/2021. 


Supported datasets:

- [x] Coco dataset
- [x] Via annotation dataset
- [x] Labelme dimension dataset


Supported features:

- [x] Labelme dataset matting
- [x] Coco dataset to labelme dataset
- [x] Labelme dataset to coco dataset
- [x] Filter the labelme dataset by label category




## Installation

Please refer to [get_started.md](docs/get_started.md) for installation.

## Getting Started
Please see [get_started.md](docs/get_started.md) for the basic usage of chipeak-data-tool.


Scan the QR code below to follow the [official website] of Xinfeng technology team（ http://http://www.chipeak.com/ ）, join the [official exchange] of Xinfeng technology team（ http://www.chipeak.com/account/login )
<div align="center">
<img src="/resources/xf_rq_code.png" height="400" />
</div>
enterpriseattck 0.1.1
A lightweight Python module to interact with the Mitre Att&ck Enterprise framework.
Keywords: mitre att&ck,att&ck enterprise,enterpriseattack,mitre framework,att&ck

[![PyPI version](https://badge.fury.io/py/enterpriseattack.svg)](https://badge.fury.io/py/enterpriseattack)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![image](https://img.shields.io/pypi/pyversions/enterpriseattack.svg)](https://pypi.org/project/enterpriseattack/)


## enterpriseattack - Mitre's Enterprise Att&ck

A lightweight Python module to interact with the [Mitre Att&ck](https://attack.mitre.org/) Enterprise dataset. Built to be used in production applications due to it's speed and minimal depedancies. [Read the docs](https://github.com/xakepnz/enterpriseattack/docs/tree/main/docs) for more info.

## Mitre Att&ck

MITRE ATT&CK® is a globally-accessible knowledge base of adversary tactics and techniques based on real-world observations. The ATT&CK knowledge base is used as a foundation for the development of specific threat models and methodologies in the private sector, in government, and in the cybersecurity product and service community.

### Dependancies

* Python 3.x
* ujson >= 3.0.0
* requests >= 2.9.2

## Installation

### Install via Pip:
   ```sh
   pip install enterpriseattack
   ```

### Alternatively clone the repository:
   ```sh
   git clone https://github.com/xakepnz/enterpriseattack.git
   cd enterpriseattack
   python3 setup.py install
   ```

<p align="right">(<a href="#top">back to top</a>)</p>

## Usage

### Initialise an Attack object:
```py
import enterpriseattack

attack = enterpriseattack.Attack()
```

### Example: Iterate over tactics/techniques/sub_techniques:
```py
for tactic in attack.tactics:
   print(tactic.name)
   for technique in tactic.techniques:
      print(technique.name)
      print(technique.detection)

for software in attack.software:
    for technique in software.techniques:
        for sub_technique in technique.sub_techniques:
            print(software.name, technique.name, sub_technique.name)
```

For more examples, please refer to the [Documentation](docs)

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ga4gh.vrsatile 0.1.0
VRS Added Tools for Interoperable Loquacious Exchange
Requires Python: >=3.6

[![Documentation Status](https://readthedocs.org/projects/vrsatile/badge/?version=latest)](https://vrsatile.readthedocs.io/en/latest/?badge=latest)

**VRS Added Tools for Interoperable Loquacious Exchange (VRSATILE; 
prounounced "versatile")** is a set of proposed extensions for VRS to 
enable interoperable exchange of common descriptive data alongside 
variation concepts. 

Learn more about VRSATILE in our [documentation](https://vrsatile.readthedocs.org).
ga4gh.vrsatile.tools 0.1.0
A meta-schema processing framework for the GA4GH VRS and VRSATILE schemas.
Requires Python: >=3.6

[![Documentation Status](https://readthedocs.org/projects/vrsatile/badge/?version=latest)](https://vrsatile.readthedocs.io/en/latest/?badge=latest)

**VRS Added Tools for Interoperable Loquacious Exchange (VRSATILE; 
prounounced "versatile")** is a set of proposed extensions for VRS to 
enable interoperable exchange of common descriptive data alongside 
variation concepts. 

Learn more about VRSATILE in our [documentation](https://vrsatile.readthedocs.org).