Home/Compare/ARES vs ragas

Comparison

ARES vs ragas

Verdict

Pick ARES if automated evaluation for RAG systems with API integrations like OpenAI; 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 · ARES alternatives · ragas alternatives

GraphCanon updated 1d

ARES logo

ARES

stanford-futuredata/ARES

731pushed Mar 28, 2025
vs
ragas logo

ragas

vibrantlabsai/ragas

15kpushed Feb 24, 2026

Trust & integrity

SignalARESragas
Maintenance
Dormant (491d since push)
As of 2w · github_public_v1
Slowing (176d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
Published findings
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

ARES
Automated Evaluation of RAG Systems
ragas
Supercharge Your LLM Application Evaluations 🚀

Stars

ARES
731
ragas
15k

Forks

ARES
67
ragas
1.6k

Open issues

ARES
21
ragas
562

Language

ARES
Python
ragas
Python

Adopt for

ARES
Automated evaluation for RAG systems with API integrations like OpenAI.
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

ARES
-
ragas
developer harness

Runtime

ARES
-
ragas
-

License

ARES
Apache-2.0
ragas
Apache-2.0

Last pushed

ARES
Mar 28, 2025
ragas
Feb 24, 2026

Categories

ARES
Evaluation & Observability
ragas
Evaluation & Observability

Trust and health

Maintenance

ARES
Dormant (18%)
ragas
Slowing (36%)

Days since push

ARES
491d
ragas
176d

Open issues (now)

ARES
21
ragas
562

Stars delta

ARES
Unknown
ragas
+470 (30d)

Open issues delta

ARES
Unknown
ragas
+45 (30d)

OSV dependency advisories

ARES
Published findings
ragas
No lockfile (source not queried)

Full report

Shared compatibility

  • Python · ARES: Python runtime · ragas: Python runtime

Choose ARES if…

  • Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation.
  • Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples.
  • Leaner open-issue backlog (21).

When NOT to use ARES

  • Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.

Choose ragas if…

  • Requirements: Min 4 GB RAM.
  • 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: ARES 731 · ragas 15k (synced Aug 1, 2026).

Common questions

What is the difference between ARES and ragas?
ARES: Automated Evaluation of RAG Systems. ragas: Supercharge Your LLM Application Evaluations 🚀. See the comparison table for live GitHub stats and shared categories.
When should I choose ARES over ragas?
Choose ARES over ragas when Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation; Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples; Leaner open-issue backlog (21).
When should I choose ragas over ARES?
Choose ragas over ARES when Requirements: Min 4 GB RAM; 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 ARES?
Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.
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 ARES or ragas more popular on GitHub?
ragas has more GitHub stars (15,388 vs 731). Stars measure visibility, not whether either tool fits your constraints.
Are ARES and ragas open source?
Yes - both are open-source projects on GitHub (ARES: Apache-2.0, ragas: Apache-2.0).
Where can I find alternatives to ARES or ragas?
GraphCanon lists graph-backed alternatives at ARES alternatives and ragas alternatives (ARES 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, ARES or ragas?
ARES: Dormant. 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 ARES and ragas?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ARES trust report; ragas trust report.

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