--- title: "langflow vs LLM-Hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langflow-ai-langflow-vs-timmyy123-llm-hub" tools: ["langflow-ai-langflow", "timmyy123-llm-hub"] --- # langflow vs LLM-Hub *GraphCanon updated Jul 11, 2026* ## Verdict Pick langflow when langflow is primarily Python; LLM-Hub is C++; pick LLM-Hub when lLM-Hub is primarily C++; langflow is Python. [langflow](http://www.langflow.org) reports 152k GitHub stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. [LLM-Hub](https://llm-hub.app) has 491 stars, 103 forks, and 31 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [langflow's repository](https://github.com/langflow-ai/langflow) and [LLM-Hub's repository](https://github.com/timmyy123/LLM-Hub). | | [langflow](/tools/langflow-ai-langflow.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Tagline | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | Local AI Assistant on your phone | | Stars | 151,697 | 491 | | Forks | 9,654 | 103 | | Open issues | 975 | 31 | | Language | Python | C++ | | Adopt for | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langflow](/tools/langflow-ai-langflow.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Open issues (now) | 975 | 31 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/langflow-ai-langflow/trust.md) | [trust report](/tools/timmyy123-llm-hub/trust.md) | ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose langflow if… - langflow is primarily Python; LLM-Hub is C++. - License: langflow is MIT, LLM-Hub is Other. - Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models. - - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### Choose LLM-Hub if… - LLM-Hub is primarily C++; langflow is Python. - License: LLM-Hub is Other, langflow is MIT. - Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4. - Also covers LLM Frameworks. ## When NOT to use langflow - - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖 ## When NOT to use LLM-Hub - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - 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 langflow and LLM-Hub? langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories. ### When should I choose langflow over LLM-Hub? Choose langflow over LLM-Hub when langflow is primarily Python; LLM-Hub is C++; License: langflow is MIT, LLM-Hub is Other; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### When should I choose LLM-Hub over langflow? Choose LLM-Hub over langflow when LLM-Hub is primarily C++; langflow is Python; License: LLM-Hub is Other, langflow is MIT; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers LLM Frameworks. ### When should I avoid langflow? - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖 ### When should I avoid LLM-Hub? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is langflow or LLM-Hub more popular on GitHub? langflow has more GitHub stars (151,697 vs 491). Stars measure visibility, not whether either tool fits your constraints. ### Are langflow and LLM-Hub open source? Yes - both are open-source projects on GitHub (langflow: MIT, LLM-Hub: Other). ### Where can I find alternatives to langflow or LLM-Hub? GraphCanon lists graph-backed alternatives at [langflow alternatives](/tools/langflow-ai-langflow/alternatives) and [LLM-Hub alternatives](/tools/timmyy123-llm-hub/alternatives) ([langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md), [LLM-Hub markdown twin](/tools/timmyy123-llm-hub/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/langflow-ai-langflow-vs-timmyy123-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langflow or LLM-Hub? langflow: Very active. LLM-Hub: 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 langflow and LLM-Hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langflow trust report](/tools/langflow-ai-langflow/trust); [LLM-Hub trust report](/tools/timmyy123-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langflow-ai-langflow`](/api/graphcanon/graph?tool=langflow-ai-langflow) - 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/_