data-analytics

Apache Superset is a Data Visualization and Data Exploration Platform

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

This repository has been merged into Canner/WrenAI under the core/ directory

A MCP (Model Context Protocol) server for interacting with dbt.

Resources on Large Language Models for Table Processing

💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

📊 ETL pipeline for YouTube competitor analytics. Orchestrated with Airflow, Docker, and AWS. Features sentiment analysis and a Power BI dashboard.