pygwalker

Easily add PyGWalker visualizations to your Django applications

GPT/llama + SQL + PyGWalker + Flask

A web app to demo PyGWalker with an uploaded CSV file

Alcon Financial Analysis: An interactive dashboard showcasing dynamic financial metrics, KPIs, and competitor comparisons. Powered by a RAG-based chatbot for real-time insights from financial reports and industry data, enabling data-driven decisions and strategic market positioning for Alcon.

Repo to explore an interesting data exploration library PygWalker.

DataGlide is a Streamlit-powered app that allows users to manipulate datasets with MitoSheet and create interactive visualizations using PyGWalker. Upload your data, explore and clean it, then visualize insights effortlessly—all in one place!

a web application for analyzing data and viewing meaningful insights.

BIRBAL.AI is a dynamic Gen AI-infused Interactive & Analytical Dashboard. Leveraging Meta’s Llama2, and RoBERTa alongside PygWalker for NLP-based Sentiment Analysis, Its AI Insights Engine pioneers Multi-Lingual & Voice interactive analytics, utilizing Bhashini APIs and Meta’s Llama2 across all 22 official languages of India

This platform allows you to build an automated ML pipeline using Streamlit, Pandas Profiling, PyCaret and PyGWalker

Automated Libraries like : DataPrep, AutoViz, SweetViz, Klib, Dtale, Pandas Profiling are used here to help succeed in data analysis endeavors. Happy automating!

Dataset explorer web application leveraging pyqwalker framework

O aplicativo permite duas formas principais de interação: um chatbot inteligente e uma análise exploratória de dados (EDA) rápida e visual.

Dashboard interactivo web para realizar Analisis Exploratorio de Datos rapidamente.

Ask questions about your data in plain English — LLM generates SQL, runs it live, and explains the results. Built with Streamlit, Turso (SQLite), and OpenRouter.

Streamlit and Pygwalker sample app.

Wrangling NYPD data and visualising using graphs and maps in Python, Tableau, and R

PyGWalker Demo, for teaching