Home/Compare/promptfoo vs ragas

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

promptfoo logo

promptfoo

promptfoo/promptfoo

24kpushed Aug 1, 2026
vs
ragas logo

ragas

vibrantlabsai/ragas

15kpushed Feb 24, 2026

Trust & integrity

Signalpromptfooragas
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

Typed relationship

promptfoo alternative ragasBoth 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.

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 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.

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