--- title: "deep-research vs book-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dzhng-deep-research-vs-fraserxu-book-gpt" tools: ["dzhng-deep-research", "fraserxu-book-gpt"] --- # deep-research vs book-gpt *GraphCanon updated Jul 12, 2026* ## Verdict Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; pick book-gpt if book-GPT, primarily developed using TypeScript, enables users to upload a book and then interactively query its content. [deep-research](https://github.com/dzhng/deep-research) reports 19k GitHub stars, 2.0k forks, and 90 open issues, last pushed Apr 11, 2026. [book-gpt](https://book-gpt.fraserxu.dev) has 436 stars, 48 forks, and 10 open issues, last pushed Apr 3, 2023. Figures are from public GitHub metadata via [deep-research's repository](https://github.com/dzhng/deep-research) and [book-gpt's repository](https://github.com/fraserxu/book-gpt). | | [deep-research](/tools/dzhng-deep-research.md) | [book-gpt](/tools/fraserxu-book-gpt.md) | | --- | --- | --- | | Tagline | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | Upload a book, ask me anything about it. | | Stars | 19,329 | 436 | | Forks | 1,972 | 48 | | Open issues | 90 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. | Book-GPT, primarily developed using TypeScript, enables users to upload a book and then interactively query its content. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deep-research](/tools/dzhng-deep-research.md) | [book-gpt](/tools/fraserxu-book-gpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 90d | 1194d | | Open issues (now) | 90 | 10 | | Security scan | 39 low (39 low) | No lockfile | | Full report | [trust report](/tools/dzhng-deep-research/trust.md) | [trust report](/tools/fraserxu-book-gpt/trust.md) | ## Shared compatibility - **Node.js**: [deep-research](/tools/dzhng-deep-research.md) - Node.js runtime; [book-gpt](/tools/fraserxu-book-gpt.md) - Node.js runtime ## Decision facts: deep-research - **Requirements:** Requires Docker - **Adopt for:** Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. ## Decision facts: book-gpt - **Adopt for:** Book-GPT, primarily developed using TypeScript, enables users to upload a book and then interactively query its content. ## Choose when ### Choose deep-research if… - Requirements: Requires Docker. - Tags unique to deep-research: agent, ai, gpt, o3-mini. - Also covers AI Agents. - deep-research ships Docker support for self-hosted deployment. - When you need a tool that can refine its topic focus over time through repeated iterations. ### Choose book-gpt if… - Tags unique to book-gpt: typescript. - Also covers Evaluation & Observability. - When you need an interactive way to explore the content of specific books with detailed queries. ## When NOT to use deep-research - When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. - If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ## When NOT to use book-gpt - If your project requires customization across various development libraries, since Book-GPT is specifically developed in TypeScript. - When support for multiple formats beyond those currently available in the project is required; this indicates ongoing work to expand format compatibility. ## Common questions ### What is the difference between deep-research and book-gpt? deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. book-gpt: Upload a book, ask me anything about it.. See the comparison table for live GitHub stats and shared categories. ### When should I choose deep-research over book-gpt? Choose deep-research over book-gpt when Requirements: Requires Docker; Tags unique to deep-research: agent, ai, gpt, o3-mini; Also covers AI Agents; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations. ### When should I choose book-gpt over deep-research? Choose book-gpt over deep-research when Tags unique to book-gpt: typescript; Also covers Evaluation & Observability; When you need an interactive way to explore the content of specific books with detailed queries. ### When should I avoid deep-research? When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ### When should I avoid book-gpt? If your project requires customization across various development libraries, since Book-GPT is specifically developed in TypeScript. When support for multiple formats beyond those currently available in the project is required; this indicates ongoing work to expand format compatibility. ### Is deep-research or book-gpt more popular on GitHub? deep-research has more GitHub stars (19,329 vs 436). Stars measure visibility, not whether either tool fits your constraints. ### Are deep-research and book-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to deep-research or book-gpt? GraphCanon lists graph-backed alternatives at [deep-research alternatives](/tools/dzhng-deep-research/alternatives) and [book-gpt alternatives](/tools/fraserxu-book-gpt/alternatives) ([deep-research markdown twin](/tools/dzhng-deep-research/alternatives.md), [book-gpt markdown twin](/tools/fraserxu-book-gpt/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/dzhng-deep-research-vs-fraserxu-book-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deep-research or book-gpt? deep-research: Slowing. book-gpt: Dormant. 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 deep-research and book-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deep-research trust report](/tools/dzhng-deep-research/trust); [book-gpt trust report](/tools/fraserxu-book-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dzhng-deep-research`](/api/graphcanon/graph?tool=dzhng-deep-research) - 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/_