This is a repo with links to everything you'd ever want to learn about data engineering

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

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance …

Automatically visualize your pandas dataframe via a single print! 📊 💡

Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.

Visual Data Preparation and Transformation. Low-Code Python-based ETL.

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed

A scalable, distributed, collaborative, document-graph database, for the realtime web

Fast key-value DB in Go.