vizdxp is an open-source web app designed via streamlit weaved with plotly library. Its incredibly simple - Just drag & drop any csv and explore the data visually. By default the application will figure out better visualization based on user selections. Feel free to customize as needed.

• Simple and quick for any Exploratory Data Analysis
• Create interactive Dashboard web app within minutes from any csv and share the findings
• Deploy it as a web application in your own workstations too
• By Default - chart types and aggregations are applied based on columns selected by user, null rows are removed, date fields are converted to multiple subfields
• Highly Customizable
• No more static reports
• Chart types included - Scatter, Bar, Pie, Heatmap, Histogram and Box plots

pip install vizdxp

Run: python -m vizdxp

Explore vizdxp through a browser. Once installation is complete, user can work totally offline.

This package is also hosted online. Pls feel free to explore with your own data

Wrriten a blog on vizdxp here

• vizdxp is completely free, open sourced and licensed under MIT license.
• Vizdxp is developed with Streamlit as the framework. Further details on streamlit
• Plotly is the visualization library used. Further details on plotly