Comparison
deepeval vs Agent-Reach
Verdict
Pick deepeval when license: deepeval is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, deepeval is Apache-2.0.
Markdown twin · deepeval alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deepeval | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- deepeval
- The LLM Evaluation Framework
- 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
- deepeval
- 17k
- Agent-Reach
- 55k
Forks
- deepeval
- 1.6k
- Agent-Reach
- 4.5k
Open issues
- deepeval
- 334
- Agent-Reach
- 144
Language
- deepeval
- Python
- Agent-Reach
- Python
Adopt for
- deepeval
- -
- Agent-Reach
- -
Persona
- deepeval
- -
- Agent-Reach
- -
Runtime
- deepeval
- -
- Agent-Reach
- -
License
- deepeval
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- deepeval
- Jul 10, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- deepeval
- LLM Frameworks, Evaluation & Observability
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
Trust and health
Open issues (now)
- deepeval
- 334
- Agent-Reach
- 144
Owner type
- deepeval
- Organization
- Agent-Reach
- User
Security scan
- deepeval
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- deepeval
- Trust report
- Agent-Reach
- Trust report
Choose deepeval if…
- License: deepeval is Apache-2.0, Agent-Reach is MIT.
- Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.
- Also covers Evaluation & Observability.
When NOT to use deepeval
- 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.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, deepeval is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
When NOT to use Agent-Reach
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (confident-ai/deepeval) · observed Jul 11, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 11, 2026
- Last push (confident-ai/deepeval) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepeval 17k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between deepeval and Agent-Reach?
- deepeval: The LLM Evaluation Framework. 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 deepeval over Agent-Reach?
- Choose deepeval over Agent-Reach when License: deepeval is Apache-2.0, Agent-Reach is MIT; Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers Evaluation & Observability.
- When should I choose Agent-Reach over deepeval?
- Choose Agent-Reach over deepeval when License: Agent-Reach is MIT, deepeval is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
- When should I avoid deepeval?
- 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?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is deepeval or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 16,767). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to deepeval or Agent-Reach?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and Agent-Reach alternatives (deepeval 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, deepeval or Agent-Reach?
- deepeval: Very active. 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 deepeval and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; Agent-Reach trust report.