--- title: "Flowise vs llmflows" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-stoyan-stoyanov-llmflows" tools: ["flowiseai-flowise", "stoyan-stoyanov-llmflows"] --- # Flowise vs llmflows Neutral, constraint-first comparison with live GitHub stats. | | [Flowise](/tools/flowiseai-flowise.md) | [llmflows](/tools/stoyan-stoyanov-llmflows.md) | | --- | --- | --- | | Tagline | Build AI Agents, Visually | LLMFlows - Simple, Explicit and Transparent LLM Apps | | Stars | 54,430 | 706 | | Forks | 24,676 | 35 | | Open issues | 981 | 19 | | Language | TypeScript | Python | | Adopt for | Flowise is designed for building AI agents with a visual, drag-and-drop interface, enabling both low-code and no-code functionalities. It supports TypeScript and integrates with multiple third-party components. | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | Inference & Serving, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Flowise](/tools/flowiseai-flowise.md) | [llmflows](/tools/stoyan-stoyanov-llmflows.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 502d | | Open issues (now) | 981 | 19 | | Owner type | Organization | User | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/stoyan-stoyanov-llmflows/trust.md) | **Typed relationship:** Flowise _(alternative)_ llmflows Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies. ## Decision facts: Flowise - **Requirements:** Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed - **Adopt for:** Flowise is designed for building AI agents with a visual, drag-and-drop interface, enabling both low-code and no-code functionalities. It supports TypeScript and integrates with multiple third-party components. - **License detail:** Other ## Choose when ### Choose Flowise if… - Flowise is primarily TypeScript; llmflows is Python. - License: Flowise is Other, llmflows is MIT. - Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed. - Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies. - Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow. - Also covers AI Agents. - Flowise ships Docker support for self-hosted deployment. - When you need a tool that enables rapid development of AI-based applications using visual workflows ### Choose llmflows if… - llmflows is primarily Python; Flowise is TypeScript. - License: llmflows is MIT, Flowise is Other. - Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies. - Tags unique to llmflows: llmops, vector-database, ai, python. - Also covers Inference & Serving. ## When NOT to use Flowise - If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise - When you prefer command-line interfaces or purely code-based development environments without a visual interface ## When NOT to use llmflows - Last GitHub push was 503 days ago (dormant maintenance, Feb 20, 2025). Validate activity before betting a new project on llmflows. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between Flowise and llmflows? Flowise: Build AI Agents, Visually. llmflows: LLMFlows - Simple, Explicit and Transparent LLM Apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose Flowise over llmflows? Choose Flowise over llmflows when Flowise is primarily TypeScript; llmflows is Python; License: Flowise is Other, llmflows is MIT; Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed; Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies; Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow; Also covers AI Agents; Flowise ships Docker support for self-hosted deployment; When you need a tool that enables rapid development of AI-based applications using visual workflows. ### When should I choose llmflows over Flowise? Choose llmflows over Flowise when llmflows is primarily Python; Flowise is TypeScript; License: llmflows is MIT, Flowise is Other; Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies; Tags unique to llmflows: llmops, vector-database, ai, python; Also covers Inference & Serving. ### When should I avoid Flowise? If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise When you prefer command-line interfaces or purely code-based development environments without a visual interface ### When should I avoid llmflows? Last GitHub push was 503 days ago (dormant maintenance, Feb 20, 2025). Validate activity before betting a new project on llmflows. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Flowise or llmflows more popular on GitHub? Flowise has more GitHub stars (54,430 vs 706). Stars measure visibility, not whether either tool fits your constraints. ### Are Flowise and llmflows open source? Yes - both are open-source projects on GitHub (Flowise: Other, llmflows: MIT). ### Where can I find alternatives to Flowise or llmflows? GraphCanon lists graph-backed alternatives at /tools/flowiseai-flowise/alternatives and /tools/stoyan-stoyanov-llmflows/alternatives (/tools/flowiseai-flowise/alternatives.md, /tools/stoyan-stoyanov-llmflows/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 /compare/flowiseai-flowise-vs-stoyan-stoyanov-llmflows.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Flowise or llmflows? Flowise: Very active. llmflows: 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 Flowise and llmflows? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise: /tools/flowiseai-flowise/trust; llmflows: /tools/stoyan-stoyanov-llmflows/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flowiseai-flowise`](/api/graphcanon/graph?tool=flowiseai-flowise) - 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/_