Comparison
promptfoo vs ragas
Verdict
Pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support; pick ragas if ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.
Markdown twin · promptfoo alternatives · ragas alternatives
GraphCanon updated today
Trust & integrity
| Signal | promptfoo | ragas |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Slowing (176d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
- ragas
- Supercharge Your LLM Application Evaluations 🚀
Stars
- promptfoo
- 24k
- ragas
- 15k
Forks
- promptfoo
- 2.1k
- ragas
- 1.6k
Open issues
- promptfoo
- 481
- ragas
- 562
Language
- promptfoo
- TypeScript
- ragas
- Python
Adopt for
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
- ragas
- Ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.
Persona
- promptfoo
- -
- ragas
- developer harness
Runtime
- promptfoo
- -
- ragas
- -
License
- promptfoo
- MIT
- ragas
- Apache-2.0
Last pushed
- promptfoo
- Aug 1, 2026
- ragas
- Feb 24, 2026
Categories
- promptfoo
- Evaluation & Observability, LLM Frameworks
- ragas
- Evaluation & Observability
Trust and health
Maintenance
- promptfoo
- Very active (96%)
- ragas
- Slowing (36%)
Days since push
- promptfoo
- 0d
- ragas
- 176d
Open issues (now)
- promptfoo
- 481
- ragas
- 562
Stars delta
- promptfoo
- Unknown
- ragas
- +470 (30d)
Open issues delta
- promptfoo
- Unknown
- ragas
- +45 (30d)
Full report
- promptfoo
- Trust report
- ragas
- Trust report
Typed relationship
Shared compatibility
- Python · promptfoo: Python runtime · ragas: Python runtime
Choose promptfoo if…
- promptfoo is primarily TypeScript; ragas is Python.
- License: promptfoo is MIT, ragas is Apache-2.0.
- Both PromptFoo and RAGAS aim at evaluating LLM applications, suggesting they could be alternatives to each other as they solve similar problems but likely in different ways.
- Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting.
- Also covers LLM Frameworks.
- promptfoo ships Docker support for self-hosted deployment.
- For comparing performance across GPT, Claude, Gemini, DeepSeek
When NOT to use promptfoo
- If you do not require comparative analysis among multiple LLM models
- If your project does not benefit from the specific red teaming capabilities offered by promptfoo
Choose ragas if…
- ragas is primarily Python; promptfoo is TypeScript.
- License: ragas is Apache-2.0, promptfoo is MIT.
- Requirements: Min 4 GB RAM.
- Both PromptFoo and RAGAS aim at evaluating LLM applications, suggesting they could be alternatives to each other as they solve similar problems but likely in different ways.
- Tags unique to ragas: evaluation, llm, llmops.
- When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.
When NOT to use ragas
- If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems.
- For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (promptfoo/promptfoo) · observed Aug 2, 2026
- GitHub forks (promptfoo/promptfoo) · observed Aug 2, 2026
- Last push (promptfoo/promptfoo) · observed Aug 1, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (vibrantlabsai/ragas) · observed Aug 20, 2026
- GitHub forks (vibrantlabsai/ragas) · observed Aug 20, 2026
- Last push (vibrantlabsai/ragas) · observed Feb 24, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: promptfoo 24k · ragas 15k (synced Aug 2, 2026).
Common questions
- What is the difference between promptfoo and ragas?
- promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. ragas: Supercharge Your LLM Application Evaluations 🚀. See the comparison table for live GitHub stats and shared categories.
- When should I choose promptfoo over ragas?
- Choose promptfoo over ragas when promptfoo is primarily TypeScript; ragas is Python; License: promptfoo is MIT, ragas is Apache-2.0; Both PromptFoo and RAGAS aim at evaluating LLM applications, suggesting they could be alternatives to each other as they solve similar problems but likely in different ways; Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting; Also covers LLM Frameworks; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I choose ragas over promptfoo?
- Choose ragas over promptfoo when ragas is primarily Python; promptfoo is TypeScript; License: ragas is Apache-2.0, promptfoo is MIT; Requirements: Min 4 GB RAM; Both PromptFoo and RAGAS aim at evaluating LLM applications, suggesting they could be alternatives to each other as they solve similar problems but likely in different ways; Tags unique to ragas: evaluation, llm, llmops; When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.
- When should I avoid promptfoo?
- If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo
- When should I avoid ragas?
- If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems. For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
- Is promptfoo or ragas more popular on GitHub?
- promptfoo has more GitHub stars (23,838 vs 15,388). Stars measure visibility, not whether either tool fits your constraints.
- Are promptfoo and ragas open source?
- Yes - both are open-source projects on GitHub (promptfoo: MIT, ragas: Apache-2.0).
- Where can I find alternatives to promptfoo or ragas?
- GraphCanon lists graph-backed alternatives at promptfoo alternatives and ragas alternatives (promptfoo markdown twin, ragas markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, promptfoo or ragas?
- promptfoo: Very active. ragas: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for promptfoo and ragas?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptfoo trust report; ragas trust report.