firecrawl vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | llm-app | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 147k | 59k |
| Forks | 8.5k | 1.4k |
| Open issues | 387 | 10 |
| Language | TypeScript | Jupyter Notebook |
| License | AGPL-3.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks |
firecrawl
Firecrawl is an open-source web context API aimed at finding sources, extracting content, and converting it into clean Markdown or structured data. It focuses on reliability, speed, and LLM-ready output formats.
TypeScript
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.
Jupyter Notebook