Our verdict
We have not reviewed Ragas yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Ragas
Ragas is a Python framework for evaluating LLM applications through automated metrics and test generation. It measures retrieval quality, generation accuracy, and end-to-end performance without requiring manual ground truth labels. Designed for RAG systems and LLM pipelines, it provides quantitative feedback on application behavior.
Best for
Teams building RAG systems who need continuous evaluation without manual labeling
Use cases
- Measuring retrieval quality in RAG systems
- Benchmarking LLM output accuracy and relevance
- Automated test generation for prompt chains
Notes
14,186 stars on GitHub. Last updated 2026-02-24. Licensed Apache-2.0.
Pros
- Reduces evaluation overhead by automating metric computation
- Works without pre-built ground truth datasets
- Active open source community with 14k+ stars
Cons
- Metrics depend on LLM quality, introducing circular dependencies
- Python-only, requires integration into existing workflows
- Automated metrics may not capture domain-specific correctness
Key facts
What we have checked
- Latest version
- 0.4.3 (released 13 Jan 2026)
- GitHub stars
- 15,851
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Ragas is growing
14,186 to 15,851
Alternatives
Alternatives to Ragas
| Record | Type | How we know | Checked |
|---|---|---|---|
| Arize-PhoenixAlternative to this | Open source | Named in the listing | Not dated |
| AutoRAGAlternative to this | Open source | Named in the listing | Not dated |
| EvidentlyAlternative to this | Open source | Named in the listing | Not dated |
| GiskardAlternative to this | Open source | Named in the listing | Not dated |
| LangWatchAlternative to this | Open source | Named in the listing | Not dated |
| LLMEvalAlternative to this | Open source | Named in the listing | Not dated |
| lm-evaluation-harnessAlternative to this | Open source | Named in the listing | Not dated |
| OpikAlternative to this | Open source | Named in the listing | Not dated |
| promptfooAlternative to this | Open source | Named in the listing | Not dated |
| simple-evalsAlternative to this | Open source | Named in the listing | Not dated |
| OpenAI EvalsThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare Ragas side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.4.3
Released 0.4.2
Released 0.4.1
Released 0.4.0
Released 0.3.9
Released 0.3.8
Released 0.3.7
Released 0.3.6
Released 0.3.5
Released 0.3.5rc2
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
lm-evaluation-harness
Community
A framework for few-shot evaluation of language models.
OpenAI Evals
Community
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Opik
Community
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
promptfoo
Community
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative config
Arize-Phoenix
Community
Arize Phoenix: Open Source AI Development Platform
AutoRAG
Community
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Evidently
Community
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Giskard
Community
🐢 Open-Source Evaluation & Testing library for LLM Agents
LangWatch
Community
The platform for LLM evaluations and AI agent testing
LLMEval
Community
LLMEval is a research series dedicated to building comprehensive, fair, and robust evaluation frameworks for large language models.
lm-evaluation-harness
Community
A framework for few-shot evaluation of language models.
Opik
Community
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
promptfoo
Community
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative config
simple-evals
Community
Eval tools by OpenAI.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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List of papers on hallucination detection in LLMs.
Awesome-LLM-hallucination
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LLM hallucination paper list
FELM
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FELM: Benchmarking Factuality Evaluation of Large Language Models
IntelliServer
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AI models as scalable microservices, enabling evaluation of LLMs and offering end-to-end functions such as chatbot, semantic search, image generation and beyond.
PubMedQA
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PubMedQA Homepage
talkd.ai dialog
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RAG LLM Ops App for easy deployment and testing
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