Ragas vs Weave
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Ragas
Evaluation framework for retrieval-augmented generation
VS
Weave
Toolkit for tracking and evaluating LLM applications
| Feature | Ragas | Weave |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 1,024 MB |
| Deployment | source | docker, source |
| GitHub stars | ★ 15,177 | ★ 1,113 |
| First released | 2023 | 2023 |
| Replaces | LangSmith | LangSmith |
Why pick each one
Choose Ragas if…
- Released under the Apache-2.0 license
- Mature project with 15.2k GitHub stars
- Written in Python
Choose Weave if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Active community (1.1k GitHub stars)
- Written in Python
Frequently asked questions
Is Ragas or Weave better?
Neither is universally better. Ragas has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Ragas and Weave free and open-source?
Yes. Ragas is licensed under Apache-2.0 and Weave under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Ragas and Weave with Docker?
Ragas: check the project docs for container support. Weave: yes.