semvec/pypi-packages huggingface dataset:
simple-report 0.0.23
Simple HTML report generation using Python
License: MIT
Requires Python: >=3.6

<p align="center">
  <a href="https://datapane.com">
    <img src="https://datapane.com/static/datapane-logo-dark.png" width="250px" alt="Datapane" />
  </a>
</p>

<p align='center'>
  <h1 align='center'> Simple report generation using Python</h1>
</p>
Simple-Report is an open-source framework makes it easy to create beautiful reports from anywhere you can run Python.
Love analyzing data in Python but struggle to share results and insights? Datapane is for you!
<br>
<br>

<p align="center">
  <a href="https://datapane.com">
    <img src="https://static.poder360.com.br/2021/07/faustao-848x477.png"  width='75%'>
  </a>
</p>

### What makes Simple-Report special?

-   **Static generation:** Sharing a report shouldn't require deploying an app. Render a standalone HTML bundle which you can share or host on the web.
-   **API-first and programmatic:** Programmatically generate reports from inside of Spark, Airflow, or Jupyter. Schedule updates to build real-time dashboards.
-   **Dynamic front-end components**: Say goodbye to writing HTML. Build reports from a set of interactive components, like DataTables, tabs, and selects.

# Getting Started

Foo

## Installing Simple-Report

The best way to install Simple-Report is through pip or conda.

#### pip

```
$ pip3 install -U simple-report
```

#### conda

```
$ conda install -c conda-forge "simple-report>=0.x.y"
```

Simple-Report also works well in hosted Jupyter environments such as Colab or Binder, where you can install as follows:

```
!pip3 install --quiet simple-report
```

# Creating reports

### 📊 Include plots and data

Create a report from pandas DataFrames, plots from your favorite libraries, and text.

<p>

<img width='485px' align='left' alt="Simple Datapane report example with text, plot and table" src="https://static.poder360.com.br/2021/07/faustao-848x477.png">

<p>

```python
code










```

</p>

<br>

### 🎛 Layout using interactive blocks

Add dropdowns, selects, grid, pages, and 10+ other blocks to make your reports dynamic.

<p>

<img width='485px' align='left' alt="Complex layout" src="https://static.poder360.com.br/2021/07/faustao-848x477.png">

<p >

```python


...

code

```

</p>
</p>

<br>
<br>
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# Demos and Examples

Here a few samples of the top reports created by the Datapane community.

-   [Example 1](https://www.google.com/) by John Doe
-   [Example 2](https://www.google.com/) by John Doe
-   [Example 3](https://www.google.com/) by John Doe
-   [Example 4](https://www.google.com/) by John Doe
-   [Example 5](https://www.google.com/) by John Doe
pandas-mermaid 0.2.0
Convert pandas DataFrame to Mermaid flowcharts
License: MIT
Requires Python: >=3.7

**`README.md`**

```markdown
# pandas-mermaid

Convert a **pandas DataFrame** into a **Mermaid flowchart** definition.

## 📦 Installation

Install from **PyPI**:

```bash
pip install pandas-mermaid
```

Or install the latest development version from GitHub:

```bash
pip install git+https://github.com/raghuvasanthrao/pandas-mermaid.git
```

## 🚀 Usage

```python
import pandas as pd
import pandas_mermaid.converter as pdm

# Create a sample DataFrame
df = pd.DataFrame({
    'Name': ['Node1', 'Node2', 'Node3'],
    'Value': [10, 20, 30],
})

# Convert DataFrame to Mermaid flowchart (Left-to-Right)
mermaid_chart = pdm.df_to_mermaid(df, direction="LR") #LR TB

# Print the Mermaid definition
print(mermaid_chart)
```

**Output:**

```
flowchart LR
    node0[Name: Node1, Value: 10]
    node1[Name: Node2, Value: 20]
    node2[Name: Node3, Value: 30]
    node0 --> node1
    node1 --> node2
```

You can paste the above output into [Mermaid Live Editor](https://mermaid.live/) to visualize the flowchart.

## 📄 License

This project is licensed under the MIT License.

```
---

If you want, I can also **add a rendered Mermaid diagram directly into the README** so that when someone views your GitHub page, they’ll see the flowchart without leaving the page. That would make the repo look even more appealing.  

Do you want me to add that?
```