# rlancemartin/auto-evaluator

Evaluation tool for LLM QA chains

Repository: https://github.com/rlancemartin/auto-evaluator
Canonical: https://ross.abutalabs.com/products/auto-evaluator
Homepage: https://autoevaluator.langchain.com/
Language: Python
License Family: other
Last push: 2023-05-10T02:00:18+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 88
- inputs: {"age_days": 1237, "days_push": 1212, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1101, forks 92 (observed 2026-08-28T04:03:35.693030+00:00)

## What it is
A lightweight Streamlit-based evaluation tool for LLM question-answering chains built with LangChain. It auto-generates question-answer pairs from user documents, runs a configurable QA chain against them, and uses an LLM to score responses across different chain configurations.

## Use cases
- evaluate llm question-answering chains
- auto-generate eval questions from documents
- compare rag chain configurations
- score qa responses with an llm grader
- benchmark retrieval chunking and embedding settings
- build an evaluation dashboard for langchain qa apps

## When to choose
- you use LangChain QA/RAG chains and want automated evaluation
- you lack a labeled eval set and want LLM-generated question-answer pairs
- you want to compare chunking, embedding, and retriever configurations side by side

## When to avoid
- you need a general-purpose LLM eval framework beyond QA chains
- you require a maintained library with a stable API - the project appears inactive since 2023
- you cannot share documents with OpenAI or Anthropic APIs
- you need deterministic, human-annotated evaluation metrics

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, llm-inference, rag, testing, benchmarking
- domain: large-language-models, machine-learning, developer-tools
- platform: python, self-hosted
- tags: langchain, llm-evaluation, question-answering, streamlit, openai, qa-chains, auto-evaluation, retrieval-augmented-generation, web-server

## Member repositories
- rlancemartin/auto-evaluator (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:35.693030+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:45:43.717125+00:00, confidence not recorded.
  - readme: https://github.com/rlancemartin/auto-evaluator (fetched 2026-08-28T04:03:35.693030+00:00, sha 310f8d7c073e)
- Data as of 2026-08-30T08:39:29.467469+00:00.