Giskard vs Ragas
Both are eval frameworks tools. Here is how they actually differ on price, billing model and deployment.
Giskard
Apache-2.0 testing and red-teaming library for LLM agents, strongest on adversarial security testing rather than quality metrics. The v3 rewrite requires Python 3.12+, which quietly rules it out for a lot of infrastructure.
Ragas
The most-used open-source RAG evaluation library, and deliberately just a library - metrics with no orchestration, no dashboard and no platform. Its ground-truth-free metrics are the reason it wins on speed of adoption.
| Giskard | Ragas | |
|---|---|---|
| Category | Eval Frameworks | Eval Frameworks |
| Our rating | 4/5 | 4/5 |
| Starting price | Not published (Hub) | $0 (open source) |
| Billing meter | No usage metering | No usage metering |
| Free plan | Yes | Yes |
| Free self-hosting | Yes, free | Yes, free |
| Best for | Teams that need adversarial testing and red teaming for LLM agents, especially in security-conscious or regulated settings, and who are on Python 3.12 or later. | Teams building RAG pipelines who want fast, meaningful retrieval and generation metrics during development, and who already have or want a separate tracing platform. |
Our verdict on Giskard
Giskard occupies a different niche from most of this category and does it well. Where Ragas measures RAG quality and DeepEval gates CI, Giskard attacks your system - automated red teaming and adversarial vulnerability scanning against LLM agents, including black-box systems you did not build. That is a genuinely underserved capability, and it is Apache 2.0. Two things will decide whether you can use it. The v3 rewrite requires Python 3.12 or later, which quietly disqualifies any infrastructure pinned to 3.10 or 3.11 - a constraint we have not seen flagged in a single comparison, and one that will surface after you have already committed. And LLM-as-judge checks may require external API calls, so air-gapped environments need to check carefully what leaves the network. The v3 rewrite is also still maturing, with some v2 features not fully ported. Treat it as a security testing tool that complements a quality-focused framework, not as a replacement for one.
Full Giskard review →Our verdict on Ragas
Ragas is the best answer to a narrow question, and its narrowness is the point. It is the most-used open-source RAG evaluation library in 2026 and it is purely a metrics library - no orchestration, no dashboard, no platform ambitions. That makes it the fastest thing here to get useful numbers out of, and it composes with whatever tracing tool you already run instead of competing with it. The standout capability is ground-truth-free metrics, which matter enormously in practice because the honest state of most teams is that they have no labelled dataset and are not going to build one soon. Two real caveats. Scoring is LLM-judge-based, so every evaluation run costs model calls and inherits judge bias - a known methodological weakness where a judge tends to be generous toward output from its own model family. And it is RAG-specific. For agents or tool-calling workflows you want DeepEval or a platform built for that shape.
Full Ragas review →Frequently Asked Questions
What is the main difference between Giskard and Ragas?
Giskard: Teams that need adversarial testing and red teaming for LLM agents, especially in security-conscious or regulated settings, and who are on Python 3.12 or later. Ragas: Teams building RAG pipelines who want fast, meaningful retrieval and generation metrics during development, and who already have or want a separate tracing platform. Both sit in Eval Frameworks, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Giskard or Ragas?
It depends entirely on your workload shape, because they meter differently - Giskard bills on no usage metering and Ragas bills on no usage metering. Published starting prices are Not published (Hub) and $0 (open source) respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Giskard or Ragas?
Giskard: Yes, free. Ragas: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.