semvec/pypi-packages huggingface dataset:
toolcheck1 0.1
Data And Analytics Audit Tool
License: MIT
Requires Python: >=3.6

# **DNA AUDIT TOOL** #

DNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.

# **AWS Hardening Standards & Best Practices** #

https://codaglobal.atlassian.net/l/cp/UP1BxJTr

# **AWS Tagging Standards** #

https://codaglobal.atlassian.net/l/cp/oj0Ngsdb

# **AWS Naming Standards** #

https://codaglobal.atlassian.net/l/cp/s99nYLEC

# **Audit tool setup** #

**The project basically uses boto client to connect to the aws services.**

1. Update the session credentials in the terminal.

2. Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.

3. If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.

4. If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.


# **Audit Tool Execution** #

Creating Virtual Environment
```
python3 -m venv venv
```

Activating the virtual environment
```
source venv/bin/activate
```

Installing the dependencies in the virtual environment
```
pip install -r requirements.txt
```
Run the following command
```
python3 src/main.py --region {region_name}
```

# **Test Cases Execution** #

```
nosetests
```

# **Final Report** #

The overall report is provided as a HTML document.

## sample report ##
![Scheme](assets/sample_report_base.png)
![Scheme](assets/sample_report.png)
toolcheck 0.1
Data And Analytics Audit Tool
License: MIT
Requires Python: >=3.6

# **DNA AUDIT TOOL** #

DNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.

# **AWS Hardening Standards & Best Practices** #

https://codaglobal.atlassian.net/l/cp/UP1BxJTr

# **AWS Tagging Standards** #

https://codaglobal.atlassian.net/l/cp/oj0Ngsdb

# **AWS Naming Standards** #

https://codaglobal.atlassian.net/l/cp/s99nYLEC

# **Audit tool setup** #

**The project basically uses boto client to connect to the aws services.**

1. Update the session credentials in the terminal.

2. Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.

3. If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.

4. If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.


# **Audit Tool Execution** #

Creating Virtual Environment
```
python3 -m venv venv
```

Activating the virtual environment
```
source venv/bin/activate
```

Installing the dependencies in the virtual environment
```
pip install -r requirements.txt
```
Run the following command
```
python3 src/main.py --region {region_name}
```

# **Test Cases Execution** #

```
nosetests
```

# **Final Report** #

The overall report is provided as a HTML document.

## sample report ##
![Scheme](assets/sample_report_base.png)
![Scheme](assets/sample_report.png)
mc-goods 1.1.1
model_catalogs catalogs for GOODS
License: MIT
Requires Python: >=3.6

mc-goods
==============================
[![License:MIT](https://img.shields.io/badge/License-MIT-green.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)
[![Python Package Index](https://img.shields.io/pypi/v/mc-goods.svg?style=for-the-badge)](https://pypi.org/project/mc-goods)
[![Conda Version](https://img.shields.io/conda/vn/conda-forge/mc-goods.svg?style=for-the-badge)](https://anaconda.org/conda-forge/mc-goods)

model_catalogs catalogs for GOODS

--------

<p><small>Project based on the <a target="_blank" href="https://github.com/jbusecke/cookiecutter-science-project">cookiecutter science project template</a>.</small></p>

# How to Use

Install [`model_catalogs`](https://github.com/NOAA-ORR-ERD/model_catalogs) and this package of catalogs will be installed too.

# Installation

If you need to install these yourself, you can with PyPI:

```
pip install mc-goods
```

or with conda-forge:

```
conda install -c conda-forge mc-goods
```

# To add a catalog

1. Place the new catalog file in the package directory (`mc_goods`).
2. Add catalog name to `__init__` following other catalog files.
3. Add catalog to `setup.py` following others.
4. Git commit and push to repo.
5. Reinstall package since entry_points have changed.