Comparison
lighteval vs auto-evaluator
Verdict
Pick lighteval if lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments; 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.
Markdown twin · lighteval alternatives · auto-evaluator alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | lighteval | auto-evaluator |
|---|---|---|
| Maintenance | Steady (38d since push) As of 2w · github_public_v1 | Dormant (1186d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · 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
- lighteval
- All-in-one toolkit for evaluating LLMs across multiple backends
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- lighteval
- 2.5k
- auto-evaluator
- 1.1k
Forks
- lighteval
- 523
- auto-evaluator
- 92
Open issues
- lighteval
- 366
- auto-evaluator
- 3
Language
- lighteval
- Python
- auto-evaluator
- Python
Adopt for
- lighteval
- Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.
- 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
- lighteval
- -
- auto-evaluator
- -
Runtime
- lighteval
- -
- auto-evaluator
- -
License
- lighteval
- MIT
- auto-evaluator
- -
Last pushed
- lighteval
- Jun 29, 2026
- auto-evaluator
- May 10, 2023
Categories
- lighteval
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- lighteval
- Steady (60%)
- auto-evaluator
- Dormant (18%)
Days since push
- lighteval
- 38d
- auto-evaluator
- 1186d
Open issues (now)
- lighteval
- 366
- auto-evaluator
- 3
Owner type
- lighteval
- Organization
- auto-evaluator
- User
OSV dependency advisories
- lighteval
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- lighteval
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · lighteval: Python runtime · auto-evaluator: Python runtime
Choose lighteval if…
- Tags unique to lighteval: evaluation-framework, evaluation-metrics, huggingface, python.
- When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.
- More GitHub stars (2.5k vs 1.1k) - visibility, not fit.
When NOT to use lighteval
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there.
- Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
Choose auto-evaluator if…
- Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, llm, question-answering.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- Leaner open-issue backlog (3).
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 (huggingface/lighteval) · observed Aug 7, 2026
- GitHub forks (huggingface/lighteval) · observed Aug 7, 2026
- Last push (huggingface/lighteval) · observed Jun 29, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 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: lighteval 2.5k · auto-evaluator 1.1k (synced Aug 7, 2026).
Common questions
- What is the difference between lighteval and auto-evaluator?
- lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. 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 lighteval over auto-evaluator?
- Choose lighteval over auto-evaluator when Tags unique to lighteval: evaluation-framework, evaluation-metrics, huggingface, python; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments; More GitHub stars (2.5k vs 1.1k) - visibility, not fit.
- When should I choose auto-evaluator over lighteval?
- Choose auto-evaluator over lighteval when Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, llm, question-answering; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3).
- When should I avoid lighteval?
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
- 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 lighteval or auto-evaluator more popular on GitHub?
- lighteval has more GitHub stars (2,508 vs 1,105). Stars measure visibility, not whether either tool fits your constraints.
- Are lighteval and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to lighteval or auto-evaluator?
- GraphCanon lists graph-backed alternatives at lighteval alternatives and auto-evaluator alternatives (lighteval 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, lighteval or auto-evaluator?
- lighteval: Steady. 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 lighteval and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lighteval trust report; auto-evaluator trust report.