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
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Incremental engine for long horizon agents 🌟 Star if you like it!
Open-source event-driven orchestration platform for scheduling and running data, AI, and infrastructure workflows defined in YAML.
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
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone
Workflow Engine for Kubernetes
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
Open Source Feature Flags, Experimentation, and Product Analytics
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!
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Data Contracts engine for the modern data stack. https://www.soda.io
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company
The most comprehensive SQL guide from a real-world expert! Learn everything from basics to advanced queries, optimizations, and real-world SQL
Open-source data contract testing for Snowflake, Databricks, BigQuery, Kafka & 15 more. Built on the Open Data Contract Standard (ODCS). MIT.
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
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.
Fancy stream processing made operationally mundane
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
lakeFS - Data version control for your data lake | Git for data
Privacy and Security focused Segment-alternative, in Golang and React
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).
A list of useful resources to learn Data Engineering from scratch
Maestro: Netflix’s Workflow Orchestrator
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
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.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Python Stream Processing
A C++20 library for fast serialization, deserialization and validation using reflection. Supports JSON, Avro, Boost Serialization, BSON, Cap'n Proto, CBOR, Cereal, Command line interfaces, CSV, Environment variables, flexbuffers, msgpack, parquet, TOML, UBJSON, XML, YAML, yas / msgpack.org[C++20]
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.
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Python Streaming DataFrames for Kafka
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Clean APIs for data cleaning. Python implementation of R package Janitor
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Quilt is a Scientific Data Management Platform on AWS that helps teams and AI find, trust, and reuse data through deeply versioned, context-rich data packages.
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
Egeria core
Community-driven, simple, yet powerful framework for fast, cost-effective distributed Compute over Data.
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.
数据流引擎是一款面向数据集成、数据同步、数据交换、数据共享、任务配置、任务调度的底层数据驱动引擎。数据流引擎采用管执分离、多流层、插件库等体系应对大规模数据任务、数据高频上报、数据高频采集、异构数据兼容的实际数据问题。
Browser-based data analytics & BI with DuckDB-WASM. Privacy-first: your data stays local; no server required.