{"repo":"AmirhosseinHonardoust/Market-IQ","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Market-IQ","clone":"git clone https://github.com/AmirhosseinHonardoust/Market-IQ.git","description":"MarketIQ is a full-stack Streamlit + SQL + Prophet dashboard for real-time business intelligence. It transforms raw sales data into KPIs, trend analytics, and six-month forecasts. With SQL-driven insights, dynamic filtering, and exportable reports, MarketIQ helps analysts visualize growth and predict performance instantly.","language":"Python","stars":21,"topics":["analytics-tools","business-intelligence","data-analytics","data-science","data-storytelling","data-visualization","forecasting","interactive-dashboard","machine-learning","plotly"],"license":"MIT","category":"machine-learning","readme_excerpt":"MarketIQ, Real-Time Sales & Forecasting Dashboard MarketIQ is a full-featured Streamlit-powered analytics platform that integrates SQL-driven data pipelines , interactive visualization , and AI-powered forecasting . It empowers analysts, startups, and data teams to turn raw data into actionable business insights, in real-time. --- Project Overview MarketIQ provides a data storytelling environment for operational analytics, business intelligence, and forecasting. It connects seamlessly to SQL databases, allowing users to explore KPIs like revenue, orders, and customer engagement dynamically. With built-in Prophet forecasting , it projects future trends based on historical sales. This system simulates what modern analytics teams need: real-time querying, rapid visualization, and human-readable insights. --- Architecture Overview This modular architecture promotes extensibility, allowing users to integrate new models, connect external databases (PostgreSQL, Supabase), or automate reporting pipelines. --- Technology Stack Layer Technology Purpose ------- ------------- ---------- Frontend Streamlit Interactive UI and visualization Database Layer SQLite (default) / PostgreSQL-ready Centralized analytics data Data Processing Pandas + SQLAlchemy Query execution and data transformations Visualization Plotly Express Dynamic charts and interactive KPIs Forecasting Prophet (optional) Predictive time-series analysis Language Python 3.10+ Core application logic --- Features SQL-powered Met","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Market-IQ/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}