hamilton vs langflow
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| hamilton | langflow | |
|---|---|---|
| Tagline | Apache Hamilton helps define testable, modular, self-documenting dataflows. | Langflow is a powerful platform for building and deploying AI-powered agents and workflows. |
| Stars | 2.5k | 151k |
| Forks | 198 | 9.5k |
| Open issues | 153 | 977 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 3, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training | AI Agents, Evaluation & Observability, Data & Retrieval |
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
langflow
A tool that offers a visual interface to create custom AI-powered services, integrating support for major language models (LLMs) and vector databases. It also provides multi-agent orchestration capabilities and observability.
Python