Metadata-Version: 2.4
Name: simple-report
Version: 0.0.22
Summary: Simple HTML report generation using Python
Home-page: https://github.com/dougsgrott/simple-report
Author: Douglas Sgrott
Author-email: doug.sgrott@gmail.com
License: MIT
Project-URL: bug tracker, https://github.com/alod83/package_template/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: notebook
Requires-Dist: jupyter-client>=5.3.4; extra == "notebook"
Requires-Dist: jupyter-core>=4.6.3; extra == "notebook"
Requires-Dist: ipywidgets>=7.5.1; extra == "notebook"
Dynamic: author
Dynamic: author-email
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-python
Dynamic: summary

<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>
<br>
<br>
<br>

<br>


# 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
