Data Ingestion

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

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

Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.

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

Retrieval-augmented generation frameworks, vector databases, and data tooling for knowledge-connected LLM apps.

Allowed web data extraction, browser automation, crawling, and content-to-markdown tooling for builders.

Open-source and locally controllable AI tools for builders who need privacy, portability, or reduced vendor lock-in.

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.