Comparison
just-eval vs auto-evaluator
Verdict
Pick just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs; 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 · just-eval alternatives · auto-evaluator alternatives
GraphCanon updated Sep 20, 2026
11views this month
Trust & integrity
| Signal | just-eval | auto-evaluator |
|---|---|---|
| Maintenance | Dormant (953d since push) As of Sep 9, 2026 · github_public_v1 | Dormant (1216d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 9, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- just-eval
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- just-eval
- 90
- auto-evaluator
- 1.1k
Forks
- just-eval
- 7
- auto-evaluator
- 92
Open issues
- just-eval
- 2
- auto-evaluator
- 3
Language
- just-eval
- Python
- auto-evaluator
- Python
Adopt for
- just-eval
- just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
- 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
- just-eval
- -
- auto-evaluator
- -
Runtime
- just-eval
- -
- auto-evaluator
- -
License
- just-eval
- MIT
- auto-evaluator
- -
Last pushed
- just-eval
- Jan 29, 2024
- auto-evaluator
- May 10, 2023
Categories
- just-eval
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Days since push
- just-eval
- 953d
- auto-evaluator
- 1216d
Open issues (now)
- just-eval
- 2
- auto-evaluator
- 3
Stars delta
- just-eval
- 0 (30d)
- auto-evaluator
- -3 (30d)
Owner type
- just-eval
- Organization
- auto-evaluator
- User
OSV dependency advisories
- just-eval
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- just-eval
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- OpenAI API · just-eval: OpenAI API · auto-evaluator: OpenAI API
- Python · just-eval: Python runtime · auto-evaluator: Python runtime
Choose just-eval if…
- Tags unique to just-eval: gpt4, llm-eval, llm-evaluation, llm-evaluation-toolkit.
- When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
- More recently updated (last pushed Jan 29, 2024).
When NOT to use just-eval
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration.
- Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
Choose auto-evaluator if…
- Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- More GitHub stars (1.1k vs 90) - 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 (Re-Align/just-eval) · observed Sep 20, 2026
- GitHub forks (Re-Align/just-eval) · observed Sep 20, 2026
- Last push (Re-Align/just-eval) · observed Jan 29, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Sep 20, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Sep 20, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: just-eval 90 · auto-evaluator 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between just-eval and auto-evaluator?
- just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. 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 just-eval over auto-evaluator?
- Choose just-eval over auto-evaluator when Tags unique to just-eval: gpt4, llm-eval, llm-evaluation, llm-evaluation-toolkit; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects; More recently updated (last pushed Jan 29, 2024).
- When should I choose auto-evaluator over just-eval?
- Choose auto-evaluator over just-eval when Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; More GitHub stars (1.1k vs 90) - visibility, not fit.
- When should I avoid just-eval?
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
- 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 just-eval or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,102 vs 90). Stars measure visibility, not whether either tool fits your constraints.
- Are just-eval and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to just-eval or auto-evaluator?
- GraphCanon lists graph-backed alternatives at just-eval alternatives and auto-evaluator alternatives (just-eval 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, just-eval or auto-evaluator?
- just-eval: Dormant. 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 just-eval and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: just-eval trust report; auto-evaluator trust report.