Comparison

Promptfoo vs Ragas

No leader: the top candidate Ragas has only 0.27 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Promptfoo54
Ragas58
Score
Vioscale score
Promptfoo54 / 100medium · 55%
Ragas58 / 100low · 27%
Pricing
Free tier
Promptfoo
Ragas
Model
Promptfoofreemium
Price level
Promptfoolow
Ragasfree
Transparent
Promptfoo
Ragas
Integrations
Count
Promptfoo6
Ragas3
Adoption
Dependent repos
Promptfoo
Ragas1
Github stars
Promptfoo
Ragas15,484
Release
Cadence days
Promptfoo
Ragas7
History
Promptfoo
License
Spdx
Promptfoo
Language
Primary
Promptfoo
RagasPython
Market

Capabilities

Feature-by-feature on the axes that matter for ai evals testing. “-” means undocumented, not absent.

Capabilities
Architecture model
Promptfoo-
RagasOpen source CLI
LLM as a judge prompt grading framework
Promptfoo
Ragas
Specialized rag metrics faithfulness context relevance
Promptfoo-
Ragas-
Deterministic regex and json schema assertions
Promptfoo
Ragas-
Synthetic test dataset generation from documents
Promptfoo-
Ragas
Ci cd github actions pipeline blocking gates
Promptfoo
Ragas-
Red teaming and adversarial vulnerability scanning
Promptfoo
Ragas-
Multi model side by side ab regression testing
Promptfoo-
Ragas-
Human in the loop hitl annotation UI
Promptfoo-
Ragas-
Dashboard analytics for metric drift over time
Promptfoo-
Ragas-
SOC2 type ii
Promptfoo
Ragas-
Mit or apache permissive oss license
Promptfoo-
Ragas-
Pricing model
Promptfoo-
RagasFree open source

What each one is

The product in its own terms, so the numbers below have context.

Promptfoo

A comprehensive LLM security testing solution that automatically scans for vulnerabilities such as prompt injections and jailbreaks through dynamic red teaming. Offers both open-source software for local testing and enterprise SaaS with team collaboration, continuous monitoring, and compliance dashboards.

Independently observed

Ragas

A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Promptfoo

HybridFree tier

Free open-source Community tier; Enterprise and On-Premise plans with custom pricing

  • CommunityFree
    • All LLM evaluation features
    • All model providers and integrations
    • Red teaming (10k probes/month)
    • Custom integration with your own app
    • Run locally or self-host on your own infrastructure
    • +2 more
  • EnterpriseContact sales
    • All Community features
    • Custom red teaming limits
    • Team sharing & collaboration
    • Continuous monitoring
    • Centralized security/compliance dashboard
    • +6 more
  • On-PremiseContact sales
    • Complete data isolation
    • On-premise deployment
as of verify ↗

Ragas

Open sourceFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Promptfoo
Ragas
CLI
Promptfoo
Ragas
Deployment
Cloud / SaaS
Promptfoo
Ragas
Self-hosted
Promptfoo
Ragas
On-premise
Promptfoo
Ragas
Hybrid
Promptfoo
Ragas

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • OpenAI

Promptfoo

11 total - 10 not shared
  • Anthropic
  • Google (Gemini)
  • DeepSeek
  • MCP (Model Context Protocol)
  • CI/CD pipelines
  • Webhooks
  • Agent frameworks
  • CI/CD platforms
  • GitHub
  • Python providers
Independently observed

Ragas

3 total - 2 not shared
  • LlamaIndex
  • LangSmith
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.