VizBlend

VizBlend is a Python package that simplifies creating interactive analytical reports and dashboards by consolidating Plotly figures into a single HTML file. It’s designed to function like a modern PowerPoint presentation but with the power of stunning and interactive data visualizations.

Whether you’re a data analyst, scientist, or developer, VizBlend streamlines the visualization workflow and enhances collaboration.

Demo

Below is a preview of a report generated with VizBlend:

⭐ If You Like It, Start it, please! ⭐

Core Features

• Interactive HTML Report. Report Example
• Interactive HTML dashboard (PBI-like). Dashboard Example
• Static PPTX Report (PowerPoint-like). PowerPoint Example

Installation and use case

Install vizblend using pip:

pip install vizBlend

Import vizblend and add figures

from vizblend.create_report import CreateReport  
import plotly.graph_objects as go  

report = CreateReport(report_title="Sales Report")  
bar_fig = go.Figure(go.Bar(x=["A", "B", "C"], y=[10, 20, 30]))  
report.add_figure(bar_fig, options={"title": "Sales Data"})

Generate the report

report_file = report.blend_graphs_to_html()  
print(f"Report saved to {report_file}")

Learning Purpose

Beside its main job, this repo intends to teach aspiring data analysts or even data scientists who cannot have full control over their coding cycle. With a simple mission: create visualizations and append them to an HTML file, you can take your learning curve up to include useful skills:

• Write unit and integration tests with edge cases to ensure your code is not error-prone.

• Write CI/CD workflows to run on every push or pull request to ensure the newly committed code is compatible enough.

• Creating, managing and deploying your package to PyPi so that you can simply run pip install <package_name> and start using it.

  Useful Resources

  • Building and testing Python | Official GitHub Actions Docs

  • pypi-publish | GitHub Action