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Comparison

code-eval vs Agent-Reach

Verdict

Pick code-eval when tags unique to code-eval: wizardcoder, humaneval, python; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.

Markdown twin · code-eval alternatives · Agent-Reach alternatives

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code-eval logo

code-eval

abacaj/code-eval

★ 429pushed Sep 12, 2023
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 55kpushed Jul 10, 2026

Trust & integrity

Signalcode-evalAgent-Reach
Maintenance
Dormant (1033d 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 · Personal account
As of today · github_public_v1
Security (OSV)
73 low (73 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest
code-eval trust reportAgent-Reach trust reportTrust methodology

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark
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.

Stars

code-eval
429
Agent-Reach
55k

Forks

code-eval
37
Agent-Reach
4.5k

Open issues

code-eval
5
Agent-Reach
144

Language

code-eval
Python
Agent-Reach
Python

Adopt for

code-eval
-
Agent-Reach
-

Persona

code-eval
-
Agent-Reach
-

Runtime

code-eval
-
Agent-Reach
-

License

code-eval
MIT
Agent-Reach
MIT

Last pushed

code-eval
Sep 12, 2023
Agent-Reach
Jul 10, 2026

Categories

code-eval
LLM Frameworks, Evaluation & Observability
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Maintenance

code-eval
Dormant (18%)
Agent-Reach
Very active (96%)

Days since push

code-eval
1033d
Agent-Reach
0d

Open issues (now)

code-eval
5
Agent-Reach
144

Security scan

code-eval
73 low (73 low)
Agent-Reach
No MCP manifest

Full report

code-eval
Trust report
Agent-Reach
Trust report

Choose code-eval if…

  • Tags unique to code-eval: wizardcoder, humaneval, python.
  • Also covers Evaluation & Observability.
  • Leaner open-issue backlog (5).

When NOT to use code-eval

  • Last GitHub push was 1034 days ago (dormant maintenance, Sep 12, 2023). Validate activity before betting a new project on code-eval.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
GitHubDetails

Choose Agent-Reach if…

  • Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
  • Also covers AI Agents, Developer Tools.
  • More GitHub stars (55k vs 429) - visibility, not fit.

When NOT to use Agent-Reach

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • 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.
GitHubDetails

Explore

code-eval trust report →Agent-Reach trust report →LLM Frameworks category →Evaluation & Observability category →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: code-eval 429 · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between code-eval and Agent-Reach?
code-eval: Run evaluation on LLMs using human-eval benchmark. 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 code-eval over Agent-Reach?
Choose code-eval over Agent-Reach when Tags unique to code-eval: wizardcoder, humaneval, python; Also covers Evaluation & Observability; Leaner open-issue backlog (5).
When should I choose Agent-Reach over code-eval?
Choose Agent-Reach over code-eval when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 429) - visibility, not fit.
When should I avoid code-eval?
Last GitHub push was 1034 days ago (dormant maintenance, Sep 12, 2023). Validate activity before betting a new project on code-eval. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
When should I avoid Agent-Reach?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
Is code-eval or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 429). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and Agent-Reach open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, Agent-Reach: MIT).
Where can I find alternatives to code-eval or Agent-Reach?
GraphCanon lists graph-backed alternatives at code-eval alternatives and Agent-Reach alternatives (code-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, code-eval or Agent-Reach?
code-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 code-eval and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; Agent-Reach trust report.