Comparison
eval-view vs AutoGPT
Verdict
Pick eval-view when license: eval-view is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, eval-view is Apache-2.0.
Markdown twin · eval-view alternatives · AutoGPT alternatives
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Trust & integrity
| Signal | eval-view | AutoGPT |
|---|---|---|
| Maintenance | Active (8d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | 1 medium (1 medium) As of today · mcp_manifest@v1 | No lockfile As of 1d · none |
Tagline
- eval-view
- Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- eval-view
- 122
- AutoGPT
- 185k
Forks
- eval-view
- 21
- AutoGPT
- 46k
Open issues
- eval-view
- 6
- AutoGPT
- 494
Language
- eval-view
- Python
- AutoGPT
- Python
Adopt for
- eval-view
- -
- 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
- eval-view
- -
- AutoGPT
- -
Runtime
- eval-view
- -
- AutoGPT
- -
License
- eval-view
- Apache-2.0
- AutoGPT
- Other
Last pushed
- eval-view
- Jul 3, 2026
- AutoGPT
- Jul 11, 2026
Categories
- eval-view
- AI Agents, Developer Tools, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- eval-view
- Active (82%)
- AutoGPT
- Very active (96%)
Days since push
- eval-view
- 8d
- AutoGPT
- 0d
Open issues (now)
- eval-view
- 6
- AutoGPT
- 494
Owner type
- eval-view
- User
- AutoGPT
- Organization
Security scan
- eval-view
- 1 medium (1 medium)
- AutoGPT
- No lockfile
Full report
- eval-view
- Trust report
- AutoGPT
- Trust report
Choose eval-view if…
- License: eval-view is Apache-2.0, AutoGPT is Other.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic.
- Also covers Developer Tools.
- eval-view ships Docker support for self-hosted deployment.
When NOT to use eval-view
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose AutoGPT if…
- License: AutoGPT is Other, eval-view is Apache-2.0.
- Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-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 (hidai25/eval-view) · observed Jul 11, 2026
- GitHub forks (hidai25/eval-view) · observed Jul 11, 2026
- Last push (hidai25/eval-view) · observed Jul 3, 2026
- License file (Apache-2.0) · 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: eval-view 122 · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between eval-view and AutoGPT?
- eval-view: Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.. 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 eval-view over AutoGPT?
- Choose eval-view over AutoGPT when License: eval-view is Apache-2.0, AutoGPT is Other; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic; Also covers Developer Tools; eval-view ships Docker support for self-hosted deployment.
- When should I choose AutoGPT over eval-view?
- Choose AutoGPT over eval-view when License: AutoGPT is Other, eval-view is Apache-2.0; Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid eval-view?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 eval-view or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 122). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and AutoGPT open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, AutoGPT: Other).
- Where can I find alternatives to eval-view or AutoGPT?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and AutoGPT alternatives (eval-view 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, eval-view or AutoGPT?
- eval-view: Active. 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 eval-view and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; AutoGPT trust report.