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Open Source · RAG

RAGeval

LLM and RAG evaluation library: multi-judge consensus with a disagreement alarm, bootstrap confidence intervals and OpenTelemetry tracing.

Our verdict

Not reviewed yet

We have not reviewed RAGeval 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.

How we review records

From the listing

About RAGeval

RAGeval is a Python library for evaluating LLM and RAG systems. It uses multiple judges to reach consensus, flags disagreements with an alarm, computes bootstrap confidence intervals, and integrates OpenTelemetry tracing.

Best for

Developers building RAG pipelines who want statistically grounded, traceable evaluation.

Use cases

  • Evaluate RAG pipeline responses with multi-judge consensus
  • Detect judge disagreement to flag low-confidence evaluations
  • Trace evaluation runs via OpenTelemetry for observability

Notes

0 stars on GitHub. Last updated 2026-10-14. Licensed AGPL-3.0.

Pros

  • Multi-judge consensus reduces reliance on a single judge
  • Disagreement alarm surfaces uncertain evaluations
  • Bootstrap confidence intervals quantify evaluation reliability

Cons

  • Community project with no official support
  • Python-only, not language-agnostic
  • Multi-judge setup adds configuration overhead

Key facts

What we have checked

Days since the last commit
11
Checked GitHub
GitHub forks
0
Checked GitHub
GitHub stars
0
Checked GitHub
Days to a first reply on issues
26.4
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
1
Checked GitHub

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 RAGeval is growing

GitHub stars

0 to 0

stars. 16 Oct 2026 to 7 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is RAGeval looked after, and what do its setup files show

Health score

50 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 11 days ago
Releases7.5 of 151 release in 90 days
Issue replies2.7 of 20First reply in 26.4 days (median)
Maintainer0 of 15Owned by a single user
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

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

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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