hamilton vs firecrawl
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| hamilton | firecrawl | |
|---|---|---|
| Tagline | Apache Hamilton helps define testable, modular, self-documenting dataflows. | The API to search, scrape, and interact with the web at scale. |
| Stars | 2.5k | 147k |
| Forks | 198 | 8.5k |
| Open issues | 153 | 387 |
| Language | Jupyter Notebook | TypeScript |
| License | Apache-2.0 | AGPL-3.0 |
| Last pushed | Jul 3, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training | Data & Retrieval, AI Agents |
hamilton
Apache Hamilton is a lightweight Python library for creating directed acyclic graphs (DAGs) of data transformations that run anywhere Python runs. It supports extensive features for defining and modifying DAG execution and is useful in various contexts including Airflow pipelines and FastAPI servers.
Jupyter Notebook
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