--- title: "delta vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/delta-io-delta-vs-panniantong-agent-reach" tools: ["delta-io-delta", "panniantong-agent-reach"] --- # delta vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick delta when delta is primarily Scala; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; delta is Scala. [delta](https://delta.io) reports 8.9k GitHub stars, 2.1k forks, and 1.5k open issues, last pushed Jul 11, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [delta's repository](https://github.com/delta-io/delta) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [delta](/tools/delta-io-delta.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 8,901 | 54,715 | | Forks | 2,134 | 4,509 | | Open issues | 1,542 | 144 | | Language | Scala | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [delta](/tools/delta-io-delta.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Open issues (now) | 1.5k | 144 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/delta-io-delta/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose delta if… - delta is primarily Scala; Agent-Reach is Python. - License: delta is Apache-2.0, Agent-Reach is MIT. - Tags unique to delta: acid, analytics, big-data, delta-lake. - delta ships Docker support for self-hosted deployment. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; delta is Scala. - License: Agent-Reach is MIT, delta is Apache-2.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, Developer Tools. ## When NOT to use delta - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. - 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. ## Common questions ### What is the difference between delta and Agent-Reach? delta: An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs. 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 delta over Agent-Reach? Choose delta over Agent-Reach when delta is primarily Scala; Agent-Reach is Python; License: delta is Apache-2.0, Agent-Reach is MIT; Tags unique to delta: acid, analytics, big-data, delta-lake; delta ships Docker support for self-hosted deployment. ### When should I choose Agent-Reach over delta? Choose Agent-Reach over delta when Agent-Reach is primarily Python; delta is Scala; License: Agent-Reach is MIT, delta is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools. ### When should I avoid delta? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 delta or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 8,901). Stars measure visibility, not whether either tool fits your constraints. ### Are delta and Agent-Reach open source? Yes - both are open-source projects on GitHub (delta: Apache-2.0, Agent-Reach: MIT). ### Where can I find alternatives to delta or Agent-Reach? GraphCanon lists graph-backed alternatives at [delta alternatives](/tools/delta-io-delta/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([delta markdown twin](/tools/delta-io-delta/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md)), 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](/compare/delta-io-delta-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, delta or Agent-Reach? delta: 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 delta and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [delta trust report](/tools/delta-io-delta/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=delta-io-delta`](/api/graphcanon/graph?tool=delta-io-delta) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_