Data · GitHub

Pure Python DB-API 2.0 (PEP 249) driver for CUBRID with asyncio and SSL/TLS support

• Pure Python — no C extensions, no compilation, works everywhere Python runs
• Complete DB-API 2.0 — connect(), Cursor, fetchone/many/all, executemany, callproc

SQLAlchemy 2.0–2.2 dialect for CUBRID with Alembic, async, and ORM support

• Type mapping for SQLAlchemy standard and CUBRID-specific types — numeric, string, date/time, bit, LOB, collection, and JSON types
• SQL compilation -- SELECT, JOIN, CAST, LIMIT/OFFSET, subqueries, CTEs, window functions

Use SQL to build ELT pipelines on a data lakehouse.

• Upsert Incremental data. CueLake uses Iceberg’s merge into query to automatically merge incremental data.
• Create Views in data lakehouse. CueLake enables you to create views over Iceberg tables.

Database Client For Visual Studio Code

DuckDB extension that adds support for SQL/PGQ and graph algorithms

Data Engineering portfolio projects, resources used to study data tools...

:aerial_tramway: A modern, powerful, and robust URL shortener

Source Generator based Embedded Typed Readonly In-Memory Document Database for .NET and Unity.

Develop desktop GUI applications using PHP, HTML5, JavaScript and SQLite

• New Linux release with latest Chromium - Discussion #359 - Ongoing funding

Gives you one-liners that aids in penetration testing operations, privilege escalation and more

• A lot of liners use with different purposes, currently are more than 176 liner.
• It's designed to fix typos in typed commands to the most similar command with just one tab click so seach becomes search and so on, even if you typed any random word similar to an command in this framework.

An orchestration platform for the development, production, and observation of data assets.

A collection of AI skills for working with Dagster

Database Abstraction Layer (DAL) in Go language

• Keep application logic independent from a concrete database client.
• Use the same record, query, and transaction shape across supported adapters.

Methods for better worker data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioner to get value from common workforce-oriented data sets.

Example end to end data engineering project.

A zero-config VS Code database extension with affordances to aid development and debugging.

• Zero-config detection. DevDb reads Laravel, Rails, Django, AdonisJS, DDEV, Supabase, Prisma, Drizzle, docker-compose, Wrangler and DATABASE_URL setups. More
• Browse and edit. Filter rows, edit values, set null, delete rows. Undo, redo and save with Cmd+Z, Cmd+Y and Cmd+S. More