semvec/pypi-packages huggingface dataset:
dbt-platform-tools 6.0.0
Set of tools to help transfer applications/services from GOV.UK PaaS to DBT PaaS augmenting AWS Copilot.
License: MIT
Requires Python: >=3.9,<4.0

# DBT Copilot Tools

This package contains a set of tools in the form of a Command Line Interface (CLI) primarily for transferring applications/services from [GOV.UK PaaS](https://www.cloud.service.gov.uk) to Department for Business and Trade (DBT) PaaS which augments [AWS Copilot](https://aws.github.io/copilot-cli/). These tools can also be used to provision AWS resources and/or make sure the CloudFormation templates conform to best practices.

## Getting started

To use the Python package `dbt-platform-tools`, follow the steps below.

### Installation

```shell
pip install dbt-platform-tools
```

### Usage

Check `dbt-platform-tools` has installed successfully by executing `platform-helper` in the terminal emulator. You should see an output similar to the following:

```shell
$ platform-helper
Usage: platform-helper [OPTIONS] COMMAND [ARGS]...

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  bootstrap
  check-cloudformation  Runs the checks passed in the command arguments.
  codebuild
  copilot
  domain
```

Each command can be executed without any arguments or additional commands to present the `help` message.

Below is the output for the `bootstrap` command as of version `0.1.2`.

```shell
$ platform-helper bootstrap --help
Usage: platform-helper bootstrap [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  instructions     Show migration instructions.
  make-config      Generate copilot boilerplate code.
  migrate-secrets  Migrate secrets from your gov paas application to...
```

See the [Commands Reference](https://github.com/uktrade/platform-tools/blob/main/dbt_platform_helper/COMMANDS.md) for a list of all available subcommands.
streamlit-custom-ydata-profiling 0.1.1
Custom YData Profiling component for Streamlit.
License: MIT
Requires Python: >=3.6

# 📈 Streamlit Pandas Profiling
This is a slightly tweaked version of the `streamlit-pandas-profiling` component but with the latest dependencies. I've created this for my another ongoing project whose dependencies kept on clashing with the [streamlit-pandas-profiling](https://github.com/arpy8/custom_st_ydata_profiling) package by [okld](https://github.com/okld).


[![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] 

## Installation

```sh
pip install streamlit-custom-ydata-profiling
```

## Getting started

```python
import pandas as pd
import streamlit as st
from ydata_profiling import ProfileReport

from streamlit_custom_ydata_profiling import st_profile_report

df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv")
pr = ProfileReport(df)

st_profile_report(pr)
```

## Demo

[![Open in Streamlit][share_badge]][share_link] 

[![Preview][share_img]][share_link]

[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/arpy8/streamlit_custom_ydata_profiling

[pypi_badge]: https://badgen.net/pypi/v/streamlit-custom-ydata-profiling?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/streamlit-custom-ydata-profiling