human-eval vs Agent-Reach

Common questions

What is the difference between human-eval and Agent-Reach?

human-eval: Code for the paper "Evaluating Large Language Models Trained on Code". Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.

When should I choose human-eval over Agent-Reach?

Choose human-eval over Agent-Reach when Tags unique to human-eval: python; Also covers Evaluation & Observability, Model Training; Leaner open-issue backlog (42).

When should I choose Agent-Reach over human-eval?

Choose Agent-Reach over human-eval when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 3.3k) - visibility, not fit.

When should I avoid human-eval?

Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on human-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

When should I avoid Agent-Reach?

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.

Is human-eval or Agent-Reach more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 3,294). Stars measure visibility, not whether either tool fits your constraints.

Are human-eval and Agent-Reach open source?

Yes - both are open-source projects on GitHub (human-eval: MIT, Agent-Reach: MIT).

Where can I find alternatives to human-eval or Agent-Reach?

GraphCanon lists graph-backed alternatives at human-eval alternatives and Agent-Reach alternatives (human-eval markdown twin, Agent-Reach 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, human-eval or Agent-Reach?

human-eval: Dormant. Agent-Reach: 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 human-eval and Agent-Reach?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: human-eval trust report; Agent-Reach trust report.