hamilton vs browser-use
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| hamilton | browser-use | |
|---|---|---|
| Tagline | Apache Hamilton helps define testable, modular, self-documenting dataflows. | 🌐 Make websites accessible for AI agents. Automate tasks online with ease. |
| Stars | 2.5k | 103k |
| Forks | 198 | 11k |
| Open issues | 153 | 287 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 3, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training | AI Agents, Developer Tools |
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
browser-use
browser-use is a repository that provides tools enabling the automation of web-based tasks and makes websites more accessible to AI agents, primarily focusing on browser automation and AI integration using Python and Playwright.
Python