--- title: "dataroom vs deep-searcher" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hanxiao-dataroom-vs-zilliztech-deep-searcher" tools: ["hanxiao-dataroom", "zilliztech-deep-searcher"] --- # dataroom vs deep-searcher *GraphCanon updated Sep 20, 2026* ## Verdict Pick dataroom if dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. [dataroom](https://dataroom.hanxiao.io) reports 193 GitHub stars, 17 forks, and 3 open issues, last pushed Jun 20, 2026. [deep-searcher](https://zilliztech.github.io/deep-searcher/) has 8.1k stars, 775 forks, and 53 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [dataroom's repository](https://github.com/hanxiao/dataroom) and [deep-searcher's repository](https://github.com/zilliztech/deep-searcher). | | [dataroom](/tools/hanxiao-dataroom.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Tagline | Local LLM research harness for querying Pi with Qwen3.6 | Open Source Deep Research Alternative to Reason and Search on Private Data. | | Stars | 193 | 8,060 | | Forks | 17 | 775 | | Open issues | 3 | 53 | | Language | Python | Python | | Adopt for | Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi. | DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, Model Training | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dataroom](/tools/hanxiao-dataroom.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Days since push | 91d | 272d | | Open issues (now) | 3 | 53 | | Stars delta | +5 (30d) | +59 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hanxiao-dataroom/trust.md) | [trust report](/tools/zilliztech-deep-searcher/trust.md) | ## Decision facts: dataroom - **Adopt for:** Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi. ## Decision facts: deep-searcher - **Adopt for:** DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. ## Choose when ### Choose dataroom if… - License: dataroom is MIT, deep-searcher is Apache-2.0. - Tags unique to dataroom: harness, local-llm, pi, qwen3.6. - Also covers Model Training. - When you need to run experiments on locally hosted datasets, as dataroom specifically supports querying Pi with Qwen3.6. ### Choose deep-searcher if… - License: deep-searcher is Apache-2.0, dataroom is MIT. - Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm. - Also covers AI Agents, Vector Databases. - When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3. ## When NOT to use dataroom - Avoid using this tool if you require real-time access to a wide variety of datasets outside of what can be locally hosted. - Do not use it if your project demands integration with other cloud-based AI tools or services, as dataroom focuses on local infrastructure. ## When NOT to use deep-searcher - Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. - Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily. ## Common questions ### What is the difference between dataroom and deep-searcher? dataroom: Local LLM research harness for querying Pi with Qwen3.6. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dataroom over deep-searcher? Choose dataroom over deep-searcher when License: dataroom is MIT, deep-searcher is Apache-2.0; Tags unique to dataroom: harness, local-llm, pi, qwen3.6; Also covers Model Training; When you need to run experiments on locally hosted datasets, as dataroom specifically supports querying Pi with Qwen3.6. ### When should I choose deep-searcher over dataroom? Choose deep-searcher over dataroom when License: deep-searcher is Apache-2.0, dataroom is MIT; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers AI Agents, Vector Databases; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3. ### When should I avoid dataroom? Avoid using this tool if you require real-time access to a wide variety of datasets outside of what can be locally hosted. Do not use it if your project demands integration with other cloud-based AI tools or services, as dataroom focuses on local infrastructure. ### When should I avoid deep-searcher? Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily. ### Is dataroom or deep-searcher more popular on GitHub? deep-searcher has more GitHub stars (8,060 vs 193). Stars measure visibility, not whether either tool fits your constraints. ### Are dataroom and deep-searcher open source? Yes - both are open-source projects on GitHub (dataroom: MIT, deep-searcher: Apache-2.0). ### Where can I find alternatives to dataroom or deep-searcher? GraphCanon lists graph-backed alternatives at [dataroom alternatives](/tools/hanxiao-dataroom/alternatives) and [deep-searcher alternatives](/tools/zilliztech-deep-searcher/alternatives) ([dataroom markdown twin](/tools/hanxiao-dataroom/alternatives.md), [deep-searcher markdown twin](/tools/zilliztech-deep-searcher/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/hanxiao-dataroom-vs-zilliztech-deep-searcher.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dataroom or deep-searcher? dataroom: Slowing. deep-searcher: Slowing. 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 dataroom and deep-searcher? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dataroom trust report](/tools/hanxiao-dataroom/trust); [deep-searcher trust report](/tools/zilliztech-deep-searcher/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hanxiao-dataroom`](/api/graphcanon/graph?tool=hanxiao-dataroom) - 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/_