Data · GitHub

Run individual configuration, compliance and security controls or full compliance benchmarks for CIS, HIPAA HITRUST, NIST, and more across all of your Azure subscriptions using Powerpipe and Steampipe.

Use SQL to instantly query spreadsheets, sheets, and cell data from Google Sheets. Open source CLI. No DB required.

Use SQL to instantly query Kubernetes API resources. Open source CLI. No DB required.

Use SQL to instantly query host, DNS and exploit information using Shodan. Open source CLI. No DB required.

Use SQL to instantly query resources, data sources and more from Terraform code. Open source CLI. No DB required.

Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance,

• Interactive Data Visualization: Visualize sales data through dynamic charts and graphs.
• Filter and Search: Easily filter data by date, product category, region, and more.

TypeQL: Built for systems, not records

A fully-featured AWS Athena database driver (+ athenareader https://github.com/uber/athenadriver/tree/master/athenareader)

• Support multiple AWS authorization methods :link:
• Full support of Athena Basic Data Types

DatAasee - A Metadata-Lake for Libraries

Unity scene logic recorder tool for editor and builds.

Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more

• Convert any tabular Reddit data to Neo4j Graph with given instructions from the user
• A relationship to link users with its only property being the amount of encounters

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.

Production-grade Agent Skills for data engineering AI agents: 73 workflows, platform presets, safe backfill/replay, Kafka & Spark reliability, MCP observability, and VS Code/JetBrains installers.

• Spec-first lifecycle with /spec, /plan, /build, /validate, /review, /backfill, and /ship
• 73 workflow skills covering ingestion, transformation, orchestration, streaming, lakehouse, warehousing, governance, quality tooling, legacy modernization, release, incident recovery, and platform operating concerns, plus 1 compatibility alias entry skill

Python-based SDK designed for interacting with VAST Database & VAST Catalog, enabling schema and table management, efficient ingest, query and modification of columnar data.

• The Basics - examples/quickstart.py - Connecting via environment variables, basic schemas/tables, simple inserts, and querying with predicates.
• Direct S3 Ingest - examples/import_parquet.py - Creating tables directly from existing Parquet files on VAST without client-side copying.