Comparison
auto-sklearn vs Agent-Reach
Verdict
Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, auto-sklearn is BSD-3-Clause.
Markdown twin · auto-sklearn alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-sklearn | Agent-Reach |
|---|---|---|
| Maintenance | Active (12d 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) | 22 low (22 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- 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
- auto-sklearn
- 8.1k
- Agent-Reach
- 55k
Forks
- auto-sklearn
- 1.3k
- Agent-Reach
- 4.5k
Open issues
- auto-sklearn
- 210
- Agent-Reach
- 144
Language
- auto-sklearn
- Python
- Agent-Reach
- Python
Adopt for
- auto-sklearn
- -
- Agent-Reach
- -
Persona
- auto-sklearn
- -
- Agent-Reach
- -
Runtime
- auto-sklearn
- -
- Agent-Reach
- -
License
- auto-sklearn
- BSD-3-Clause
- Agent-Reach
- MIT
Last pushed
- auto-sklearn
- Jun 29, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- Agent-Reach
- Very active (96%)
Days since push
- auto-sklearn
- 12d
- Agent-Reach
- 0d
Open issues (now)
- auto-sklearn
- 210
- Agent-Reach
- 144
Owner type
- auto-sklearn
- Organization
- Agent-Reach
- User
Security scan
- auto-sklearn
- 22 low (22 low)
- Agent-Reach
- No MCP manifest
Full report
- auto-sklearn
- Trust report
- Agent-Reach
- Trust report
Choose auto-sklearn if…
- License: auto-sklearn is BSD-3-Clause, Agent-Reach is MIT.
- Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning.
- Also covers Model Training, Computer Vision.
- auto-sklearn ships Docker support for self-hosted deployment.
When NOT to use auto-sklearn
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, auto-sklearn is BSD-3-Clause.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers LLM Frameworks, AI Agents.
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 (automl/auto-sklearn) · observed Jul 11, 2026
- GitHub forks (automl/auto-sklearn) · observed Jul 11, 2026
- Last push (automl/auto-sklearn) · observed Jun 29, 2026
- License file (BSD-3-Clause) · 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: auto-sklearn 8.1k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and Agent-Reach?
- auto-sklearn: Automated Machine Learning with scikit-learn. 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 auto-sklearn over Agent-Reach?
- Choose auto-sklearn over Agent-Reach when License: auto-sklearn is BSD-3-Clause, Agent-Reach is MIT; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Model Training, Computer Vision; auto-sklearn ships Docker support for self-hosted deployment.
- When should I choose Agent-Reach over auto-sklearn?
- Choose Agent-Reach over auto-sklearn when License: Agent-Reach is MIT, auto-sklearn is BSD-3-Clause; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents.
- When should I avoid auto-sklearn?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- 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 auto-sklearn or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 8,119). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, Agent-Reach: MIT).
- Where can I find alternatives to auto-sklearn or Agent-Reach?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and Agent-Reach alternatives (auto-sklearn 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, auto-sklearn or Agent-Reach?
- auto-sklearn: 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 auto-sklearn and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; Agent-Reach trust report.