--- title: "graphify vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/graphify-labs-graphify-vs-labring-fastgpt" tools: ["graphify-labs-graphify", "labring-fastgpt"] --- # graphify vs FastGPT *GraphCanon updated Aug 18, 2026* ## Verdict Pick graphify if graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types; pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable. [graphify](https://www.graphify.com) reports 108k GitHub stars, 10k forks, and 978 open issues, last pushed Aug 17, 2026. [FastGPT](https://fastgpt.io) has 29k stars, 7.3k forks, and 165 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [graphify's repository](https://github.com/Graphify-Labs/graphify) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [graphify](/tools/graphify-labs-graphify.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | Turn any code or documentation into a queryable knowledge graph | A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems | | Stars | 107,507 | 29,366 | | Forks | 10,441 | 7,264 | | Open issues | 978 | 165 | | Language | Python | TypeScript | | Adopt for | Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. | FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphify](/tools/graphify-labs-graphify.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Open issues (now) | 978 | 165 | | Stars delta | +17k (30d) | +360 (30d) | | Open issues delta | +441 (30d) | +7 (30d) | | Full report | [trust report](/tools/graphify-labs-graphify/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: graphify - **Requirements:** Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed. - **Adopt for:** Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable ## Choose when ### Choose graphify if… - graphify is primarily Python; FastGPT is TypeScript. - License: graphify is MIT, FastGPT is Other. - Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.. - Tags unique to graphify: claude-code, codex, gemini, knowledge-graph. - graphify ships Docker support for self-hosted deployment. - When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ### Choose FastGPT if… - FastGPT is primarily TypeScript; graphify is Python. - License: FastGPT is Other, graphify is MIT. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers LLM Frameworks. - You prioritize ease of setup and configuration for advanced AI applications. ## When NOT to use graphify - If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). - Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ## When NOT to use FastGPT - If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. - When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. - Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ## Common questions ### What is the difference between graphify and FastGPT? graphify: Turn any code or documentation into a queryable knowledge graph. FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphify over FastGPT? Choose graphify over FastGPT when graphify is primarily Python; FastGPT is TypeScript; License: graphify is MIT, FastGPT is Other; Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; Tags unique to graphify: claude-code, codex, gemini, knowledge-graph; graphify ships Docker support for self-hosted deployment; When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ### When should I choose FastGPT over graphify? Choose FastGPT over graphify when FastGPT is primarily TypeScript; graphify is Python; License: FastGPT is Other, graphify is MIT; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications. ### When should I avoid graphify? If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ### When should I avoid FastGPT? If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ### Is graphify or FastGPT more popular on GitHub? graphify has more GitHub stars (107,507 vs 29,366). Stars measure visibility, not whether either tool fits your constraints. ### Are graphify and FastGPT open source? Yes - both are open-source projects on GitHub (graphify: MIT, FastGPT: Other). ### Where can I find alternatives to graphify or FastGPT? GraphCanon lists graph-backed alternatives at [graphify alternatives](/tools/graphify-labs-graphify/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([graphify markdown twin](/tools/graphify-labs-graphify/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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/graphify-labs-graphify-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphify or FastGPT? graphify: Very active. FastGPT: 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 graphify and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphify trust report](/tools/graphify-labs-graphify/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=graphify-labs-graphify`](/api/graphcanon/graph?tool=graphify-labs-graphify) - 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/_