Comparison
baba_is_eval vs auto-evaluator
Verdict
Pick baba_is_eval if baba_is_eval leverages Baba Is You to evaluate language models' meta-level reasoning in an interactive text-based setting through MCP server integration; 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 · baba_is_eval alternatives · auto-evaluator alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | baba_is_eval | auto-evaluator |
|---|---|---|
| Maintenance | Dormant (435d 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 · Personal 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 Aug 2, 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
- baba_is_eval
- Evaluates language models' meta-level reasoning through the puzzle game Baba Is You
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- baba_is_eval
- 62
- auto-evaluator
- 1.1k
Forks
- baba_is_eval
- 8
- auto-evaluator
- 92
Open issues
- baba_is_eval
- 2
- auto-evaluator
- 3
Language
- baba_is_eval
- Python
- auto-evaluator
- Python
Adopt for
- baba_is_eval
- baba_is_eval leverages Baba Is You to evaluate language models' meta-level reasoning in an interactive text-based setting through MCP server integration.
- 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
- baba_is_eval
- -
- auto-evaluator
- -
Runtime
- baba_is_eval
- -
- auto-evaluator
- -
License
- baba_is_eval
- (unknown)
- auto-evaluator
- -
Last pushed
- baba_is_eval
- Jun 30, 2025
- auto-evaluator
- May 10, 2023
Categories
- baba_is_eval
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Days since push
- baba_is_eval
- 435d
- auto-evaluator
- 1216d
Open issues (now)
- baba_is_eval
- 2
- auto-evaluator
- 3
Stars delta
- baba_is_eval
- 0 (30d)
- auto-evaluator
- -3 (30d)
OSV dependency advisories
- baba_is_eval
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- baba_is_eval
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · baba_is_eval: Python runtime · auto-evaluator: Python runtime
Choose baba_is_eval if…
- Pricing: Free to use, but requires purchasing Baba Is You from a platform like Steam for testing..
- Tags unique to baba_is_eval: llm-evaluation, llm-tool-call, mcp, mcp-server.
- - When you need to test the advanced problem-solving and strategic thinking capabilities of a language model, especially for understanding or creating game rules dynamically
When NOT to use baba_is_eval
- - If your test scenario requires stability or reliability, as baba_is_eval is noted for being unstable due to its alpha status
- - When you need a tool that supports automated testing without the necessity of human supervision or manual setup of game assets and MCP server interaction
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 62) - 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 (lennart-finke/baba_is_eval) · observed Sep 20, 2026
- GitHub forks (lennart-finke/baba_is_eval) · observed Sep 20, 2026
- Last push (lennart-finke/baba_is_eval) · observed Jun 30, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 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: baba_is_eval 62 · auto-evaluator 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between baba_is_eval and auto-evaluator?
- baba_is_eval: Evaluates language models' meta-level reasoning through the puzzle game Baba Is You. 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 baba_is_eval over auto-evaluator?
- Choose baba_is_eval over auto-evaluator when Pricing: Free to use, but requires purchasing Baba Is You from a platform like Steam for testing.; Tags unique to baba_is_eval: llm-evaluation, llm-tool-call, mcp, mcp-server; - When you need to test the advanced problem-solving and strategic thinking capabilities of a language model, especially for understanding or creating game rules dynamically.
- When should I choose auto-evaluator over baba_is_eval?
- Choose auto-evaluator over baba_is_eval 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 62) - visibility, not fit.
- When should I avoid baba_is_eval?
- - If your test scenario requires stability or reliability, as baba_is_eval is noted for being unstable due to its alpha status - When you need a tool that supports automated testing without the necessity of human supervision or manual setup of game assets and MCP server interaction
- 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 baba_is_eval or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,102 vs 62). Stars measure visibility, not whether either tool fits your constraints.
- Are baba_is_eval and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to baba_is_eval or auto-evaluator?
- GraphCanon lists graph-backed alternatives at baba_is_eval alternatives and auto-evaluator alternatives (baba_is_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, baba_is_eval or auto-evaluator?
- baba_is_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 baba_is_eval and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: baba_is_eval trust report; auto-evaluator trust report.