semvec/pypi-packages huggingface dataset:
toolnew14 1.0
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)
toolnew13 1.0
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)
toolnew12 1.0
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)
toolnew11 1.0
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)
toolnew4 1.0
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)
crypto-pnl 0.5.2
Crypto Trading Realized PnL Calculation (in EUR)
License: MIT

Crypto Trading Realized PnL Calculation (in EUR)

Jurisdictions require calculation of the PnL and CGT based off that as per transation basis.

This program performs gains calculations for Binance using Trade History and Transaction History.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
toolnew45 1.0
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)
toolnew1 1.3
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)
toolnew 1.3
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)