wrapper for multiple linkml storage engines
Post4 is an indirect threaded Forth interpreter written in C.
Set up an encrypted iOS Database with only 1 line of code!
CoreDataServices is a suite of helper classes and extensions to help to remove some of the boilerplate that surrounds using Core Data.
A starting point for a data stack using Python, Apache Airflow and Metabase.
🧱 Tinkering around with a bunch of open source data tools.
Modular data platform building blocks wired through explicit contracts, not hidden dependencies
A minimal modern data stack with working data pipelines in a single Docker container.
Set up an encrypted iOS Database with only 1 line of code!
Demo data stack using Dagster + Airbyte + dbt
🦆🔨 Glue Duckle + DuckQuery + Shaper into one DuckDB-native data stack: ETL → Query → Visualize, zero format conversion.
Introduction to using and scaling dagster
This repo provides a POC to demostrate how a portable data stack can provide an end-to-end ETL process with simple BI. It's calling PiwikPRO API for a demo account and using GCP service account to interact with Google Sheets.
Simple, lightweight Core Data library that eases migrations and reduces boilerplate
Creating a modern data stack in Kubernetes with open-source products, both on-premises and cloud-agnostic, is an increasingly popular approach. By leveraging Kubernetes for container orchestration, you can deploy and manage data processing, storage, and analysis tools more efficiently.
Simple stack imlementation on ES6
Lakehouse starter kit for small teams (1-5). Extract data with dlt, transform with dbt, visualize with Superset. S3-compatible storage with MinIO. Easy to scale.
Mode — independent third-party profile of a public API surface, by API Evangelist. Mode is a collaborative business intelligence and analytics platform that unites data and business teams around a single analytical workflow. Built by analysts for analysts, Mode combines ad hoc SQL exploration, Python and R notebooks, interactive dashboards, self-se
Riverpool — independent third-party profile of a public API surface, by API Evangelist. Riverpool (riverpool.ai) is an early-stage, pre-launch startup building what it describes as the "post-modern analytics data stack" — a continuously circulating, self-refreshing approach to analytics data rather than a stagnant warehouse.
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