Open-source Pricing and Billing Infrastructure 🚀 Subscription management, Invoicing, Pricing, Usage-based billing, Cost limiting, Grandfathering, Experiments, Revenue analytics & Actionable insights

Data Forge — a modern data stack playground to practice flows and best practices, not just tools. Spark, Trino, Kafka, Iceberg, ClickHouse, Airflow, MinIO, Superset — all wired together locally with Docker Compose.

Example project demonstrating deployment patterns for real-time streaming workflows with Prefect 2.0

A simple low-cost finance data pipeline orchestration. All you need is just python & SQL.

Set up a Cost-Effective Modern Data Stack for a Charity

Lightweight, open source, locally-hosted Modern Data Stack

Latte is a modern data engineering toolkit.

Orca is a template and a set of patterns helping data teams efficiently build a production-ready and agentic-ready data warehouse.

🧱 Tinkering around with a bunch of open source data tools.

Este projeto é um laboratório prático que implementa uma Pilha de Dados Moderna (MDS) usando containers Docker, projetado para aprendizado e experimentação com ferramentas open-source como MinIO (armazenamento S3), PostgreSQL, Apache Hive, Spark, Kyuubi, JupyterLab e Dremio.

A minimal modern data stack with working data pipelines in a single Docker container.

A list of tools frequently used in "the modern data stack". Mostly SaaS or open-source apps to work with data and get value from it.

A curated selection of tools, libraries and services that help tame your dataflow to productively build ambitious, data driven & reactive applications on a streaming lakehouse

Deploy an open source and modern data stack in no time with Terraform

Conecte os dados do Facebook Ads ao seu banco de dados Postgres com Airbyte e Mage.

Fundamentos práticos de Engenharia de Dados: Cloud (AWS, GCP, Azure), ingestão batch e streaming, dbt, Spark, Airflow e Modern Data Stack — com exemplos de código e cenários end-to-end.

elevata is an Architecture Runtime for modern data platforms — turning metadata into discoverable, controllable, auditable, and deterministic architecture.

A minimal modern data stack with working data pipelines in a single Docker container.

Data and MLOps engineering with Azure & Databricks

Production-grade Modern Data Stack (MDS) pipeline built with Prefect, dbt, and Postgres. Features least-privilege DB hardening, semantic query caching (ChromaDB + OpenAI) for AI analytics, and complete containerization.