Graph-Native Infrastructure for Context and Accountable AI Systems
End-to-end streaming data platform on AWS: Kafka → Iceberg lake → Kimball model → Athena, orchestrated with Airflow 3. Terraform, Glue PySpark, dbt.
Apache Superset is a Data Visualization and Data Exploration Platform
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
A Python/Pandas ETL pipeline that turns a deliberately messy automotive dataset into production-ready data, with 15 pytest tests and GitHub Actions CI.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
An orchestration platform for the development, production, and observation of data assets.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
The Data Engineering Cookbook
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
The Open Source Feature Store for AI/ML
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!
Data Contracts engine for the modern data stack. https://www.soda.io
Supplementary Materials for the The Complete dbt (Data Build Tool) Bootcamp Udemy course
Always know what to expect from your data.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Python Stream Processing
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Python Streaming DataFrames for Kafka
Clean APIs for data cleaning. Python implementation of R package Janitor
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
A MCP (Model Context Protocol) server for interacting with dbt.
🧠Mindmap of 🗺️Software Architecture, Software engineering: An Overview of Software Terminologies and Concepts.
SDK for robotics teams to verify the quality of their data used for AI model training.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
Text-to-SQL access control: schema selection that gives the LLM only the tables the caller is allowed to read. Row-level-security-aware table pruning for LangChain, MCP and any SQL agent. Postgres, Oracle, MySQL, SQL Server. 75% fewer prompt tokens.
Data-engineering benchmark for coding agents (DuckDB + Snowflake dbt tasks).
zomato-ai-data-engineering-end-to-end-project
36 data-engineering skills for AI coding agents — dbt, Airflow, Dagster, Prefect, Spark, Snowflake, BigQuery, Databricks, Kafka, Iceberg. Portable SKILL.md Agent Skills (the format Anthropic launched as Claude Skills), with idempotency, backfill, and data-quality know-how. Runs in Claude Code, Cursor, Codex, Copilot, Gemini CLI and more.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️