Database Basics

Prompt-driven app builders and hosted development environments for shipping web apps quickly.

Data notebooks, app frameworks, analytics libraries, and AI-assisted data workflows.

Open-source and developer-focused resources for finance data, backtesting, analytics, and trading research.

AI-assisted coding and app-building tools for fast product prototyping by developers and non-traditional builders.

Embedding database commonly used for local and application-level RAG prototypes.

Embedded analytical database useful for local data processing and app backends.

Open-source vector database for large-scale similarity search and AI retrieval systems.

Fast DataFrame library for Python and Rust data processing workflows.

Vector database for semantic search and retrieval-heavy AI applications.

Python app framework widely used for data apps, ML demos, and internal tools.

Python data analysis library for tabular data cleaning, transformation, and analytics.

Python library for pulling Yahoo Finance market data for research and prototyping.