VizBlend is a Python package that simplifies the process of creating interactive analytical reports 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.
Below is a preview of a report generated with VizBlend:
Install vizBlend using pip:
pip install vizBlend
Import VizBlend and add figures
from vizblend 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, {"title": "Sales Data"})
Generate the report
report_file = report.blend_graphs_to_html()
print(f"Report saved to {report_file}")
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:
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Write unit and integration tests with edge cases to ensure your code is not error-prone.
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Write CI/CD workflows to run on every push or pull request to ensure the newly committed code is compatible enough.
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Creating, managing and deploying your package to PyPi so that you can simply run
pip install <package_name>and start using it.