Comparison
bigcode-evaluation-harness vs Agent-Reach
Verdict
Pick bigcode-evaluation-harness when license: bigcode-evaluation-harness is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, bigcode-evaluation-harness is Apache-2.0.
Markdown twin · bigcode-evaluation-harness alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | Agent-Reach |
|---|---|---|
| Maintenance | Slowing (354d 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) | 46 low (46 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- bigcode-evaluation-harness
- A framework for the evaluation of autoregressive code generation language models.
- 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
- bigcode-evaluation-harness
- 1.1k
- Agent-Reach
- 55k
Forks
- bigcode-evaluation-harness
- 263
- Agent-Reach
- 4.5k
Open issues
- bigcode-evaluation-harness
- 97
- Agent-Reach
- 144
Language
- bigcode-evaluation-harness
- Python
- Agent-Reach
- Python
Adopt for
- bigcode-evaluation-harness
- -
- Agent-Reach
- -
Persona
- bigcode-evaluation-harness
- -
- Agent-Reach
- -
Runtime
- bigcode-evaluation-harness
- -
- Agent-Reach
- -
License
- bigcode-evaluation-harness
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- Agent-Reach
- Jul 10, 2026
Categories
- bigcode-evaluation-harness
- LLM Frameworks, Computer Vision, Evaluation & Observability
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- bigcode-evaluation-harness
- Slowing (36%)
- Agent-Reach
- Very active (96%)
Days since push
- bigcode-evaluation-harness
- 354d
- Agent-Reach
- 0d
Open issues (now)
- bigcode-evaluation-harness
- 97
- Agent-Reach
- 144
Owner type
- bigcode-evaluation-harness
- Organization
- Agent-Reach
- User
Security scan
- bigcode-evaluation-harness
- 46 low (46 low)
- Agent-Reach
- No MCP manifest
Full report
- bigcode-evaluation-harness
- Trust report
- Agent-Reach
- Trust report
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, Agent-Reach is MIT.
- Tags unique to bigcode-evaluation-harness: python.
- Also covers Computer Vision, Evaluation & Observability.
- bigcode-evaluation-harness ships Docker support for self-hosted deployment.
When NOT to use bigcode-evaluation-harness
- Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness.
- 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, bigcode-evaluation-harness 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
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Jul 11, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Jul 11, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- 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: bigcode-evaluation-harness 1.1k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and Agent-Reach?
- bigcode-evaluation-harness: A framework for the evaluation of autoregressive code generation language models.. 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 bigcode-evaluation-harness over Agent-Reach?
- Choose bigcode-evaluation-harness over Agent-Reach when License: bigcode-evaluation-harness is Apache-2.0, Agent-Reach is MIT; Tags unique to bigcode-evaluation-harness: python; Also covers Computer Vision, Evaluation & Observability; bigcode-evaluation-harness ships Docker support for self-hosted deployment.
- When should I choose Agent-Reach over bigcode-evaluation-harness?
- Choose Agent-Reach over bigcode-evaluation-harness when License: Agent-Reach is MIT, bigcode-evaluation-harness 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 bigcode-evaluation-harness?
- Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness. 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 bigcode-evaluation-harness or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,053). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to bigcode-evaluation-harness or Agent-Reach?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and Agent-Reach alternatives (bigcode-evaluation-harness 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, bigcode-evaluation-harness or Agent-Reach?
- bigcode-evaluation-harness: Slowing. 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 bigcode-evaluation-harness and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; Agent-Reach trust report.