Comparison
auto-evaluator vs AutoGPT
Verdict
Pick auto-evaluator when tags unique to auto-evaluator: python; pick AutoGPT when tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
Markdown twin · auto-evaluator alternatives · AutoGPT alternatives
GraphCanon updated today
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Trust & integrity
| Signal | auto-evaluator | AutoGPT |
|---|---|---|
| Maintenance | Dormant (1158d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 118 low (118 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- auto-evaluator
- Evaluation tool for LLM QA chains
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- auto-evaluator
- 1.1k
- AutoGPT
- 185k
Forks
- auto-evaluator
- 92
- AutoGPT
- 46k
Open issues
- auto-evaluator
- 3
- AutoGPT
- 494
Language
- auto-evaluator
- Python
- AutoGPT
- Python
Adopt for
- auto-evaluator
- -
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- auto-evaluator
- -
- AutoGPT
- -
Runtime
- auto-evaluator
- -
- AutoGPT
- -
License
- auto-evaluator
- -
- AutoGPT
- Other
Last pushed
- auto-evaluator
- May 10, 2023
- AutoGPT
- Jul 11, 2026
Categories
- auto-evaluator
- Vector Databases, LLM Frameworks, Data & Retrieval
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- auto-evaluator
- Dormant (18%)
- AutoGPT
- Very active (96%)
Days since push
- auto-evaluator
- 1158d
- AutoGPT
- 0d
Open issues (now)
- auto-evaluator
- 3
- AutoGPT
- 494
Owner type
- auto-evaluator
- User
- AutoGPT
- Organization
Security scan
- auto-evaluator
- 118 low (118 low)
- AutoGPT
- No lockfile
Full report
- auto-evaluator
- Trust report
- AutoGPT
- Trust report
Choose auto-evaluator if…
- Tags unique to auto-evaluator: python.
- Also covers Vector Databases, Data & Retrieval.
- Leaner open-issue backlog (3).
When NOT to use auto-evaluator
- Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Choose AutoGPT if…
- Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
- Also covers AI Agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (rlancemartin/auto-evaluator) · observed Jul 11, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Jul 11, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-evaluator 1.1k · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-evaluator and AutoGPT?
- auto-evaluator: Evaluation tool for LLM QA chains. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-evaluator over AutoGPT?
- Choose auto-evaluator over AutoGPT when Tags unique to auto-evaluator: python; Also covers Vector Databases, Data & Retrieval; Leaner open-issue backlog (3).
- When should I choose AutoGPT over auto-evaluator?
- Choose AutoGPT over auto-evaluator when Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid auto-evaluator?
- Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is auto-evaluator or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 1,102). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-evaluator and AutoGPT open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-evaluator or AutoGPT?
- GraphCanon lists graph-backed alternatives at auto-evaluator alternatives and AutoGPT alternatives (auto-evaluator markdown twin, AutoGPT 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, auto-evaluator or AutoGPT?
- auto-evaluator: Dormant. AutoGPT: Very active. 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 auto-evaluator and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-evaluator trust report; AutoGPT trust report.