Comparison
awesome-evals vs auto-evaluator
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Markdown twin · awesome-evals alternatives · auto-evaluator alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-evals | auto-evaluator |
|---|---|---|
| Maintenance | Active (26d since push) As of 4w · github_public_v1 | Dormant (1186d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- awesome-evals
- 761
- auto-evaluator
- 1.1k
Forks
- awesome-evals
- 71
- auto-evaluator
- 92
Open issues
- awesome-evals
- 21
- auto-evaluator
- 3
Language
- awesome-evals
- -
- auto-evaluator
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- auto-evaluator
- Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Persona
- awesome-evals
- -
- auto-evaluator
- -
Runtime
- awesome-evals
- -
- auto-evaluator
- -
License
- awesome-evals
- Other
- auto-evaluator
- -
Last pushed
- awesome-evals
- Jul 1, 2026
- auto-evaluator
- May 10, 2023
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- auto-evaluator
- Dormant (18%)
Days since push
- awesome-evals
- 26d
- auto-evaluator
- 1186d
Open issues (now)
- awesome-evals
- 21
- auto-evaluator
- 3
Owner type
- awesome-evals
- Organization
- auto-evaluator
- User
OSV dependency advisories
- awesome-evals
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- awesome-evals
- Trust report
- auto-evaluator
- Trust report
Choose awesome-evals if…
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose auto-evaluator if…
- Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- More GitHub stars (1.1k vs 761) - visibility, not fit.
When NOT to use auto-evaluator
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
- If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Jul 1, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · auto-evaluator 1.1k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and auto-evaluator?
- awesome-evals: A curated library of resources for building and evaluating AI agents. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over auto-evaluator?
- Choose awesome-evals over auto-evaluator when Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose auto-evaluator over awesome-evals?
- Choose auto-evaluator over awesome-evals when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; More GitHub stars (1.1k vs 761) - visibility, not fit.
- When should I avoid awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- When should I avoid auto-evaluator?
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
- Is awesome-evals or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,105 vs 761). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-evals or auto-evaluator?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and auto-evaluator alternatives (awesome-evals markdown twin, auto-evaluator 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, awesome-evals or auto-evaluator?
- awesome-evals: Active. auto-evaluator: Dormant. 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 awesome-evals and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; auto-evaluator trust report.