🚀 Introducing B-Vista: Real-Time Visual EDA for Pandas DataFrames

Hey Devs & Data Scientists! 👋

I just released a new open-source tool called B-Vista — a full-stack, real-time Exploratory Data Analysis (EDA) interface for pandas.

If you've ever wished pandas.DataFrame had a modern, interactive UI like Excel or Observable notebooks — this is for you.

🎯 What is B-Vista?

B-Vista connects a Flask + WebSocket backend to a React frontend and lets you:

• View your DataFrame in an interactive grid
• Perform inline cell editing — updates sync live via WebSocket
• Detect missing values, outliers, and correlations visually
• Impute, transform, clean your data with no code
• Load live datasets from COVID-19, stock markets, and more

🔥 Features

✅ Descriptive statistics, distributions & outliers

✅ Correlation matrix explorer (Pearson, MI, robust, etc.)

✅ Missing data: heatmaps, dendrograms, MCAR/MAR inference

✅ Smart data cleaning — impute, drop, cast, transform

✅ Live-editable grid UI with fast filtering & grouping

✅ Built-in datasets + plug-and-play API connectors

✅ Built for notebooks and browser sessions

🚀 Quick Demo

import bvista
import pandas as pd

df = pd.read_csv("your_data.csv")
bvista.show(df)

No config needed. It launches a local server and opens your data in a browser or notebook iframe.

📦 Installation

pip install bvista

or with Docker:

docker pull baciak/bvista:latest

🔗 Links

• GitHub: github.com/Baci-Ak/b-vista
• PyPI: pypi.org/project/bvista
• Docker: hub.docker.com/r/baciak/bvista
• Hacker News: Discussion thread

🙏 Feedback Welcome!

This is still v1.1.1 — I’d love your thoughts, feedback, bug reports, or PRs 🙌

Labelled good-first-issue for folks who want to contribute.

Also open to ideas for datasets, integrations, or UI tools!

Thanks for reading, and happy exploring!

— Baci