--- title: "Flowise vs AdalFlow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-sylphai-inc-adalflow" tools: ["flowiseai-flowise", "sylphai-inc-adalflow"] --- # Flowise vs AdalFlow *GraphCanon updated Sep 20, 2026* ## Verdict Pick Flowise if flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface; pick AdalFlow if adalFlow is designed to streamline the development and automatic optimization of LLM applications. [Flowise](https://flowiseai.com) reports 55k GitHub stars, 25k forks, and 1.0k open issues, last pushed Aug 13, 2026. [AdalFlow](http://adalflow.sylph.ai/) has 4.2k stars, 387 forks, and 68 open issues, last pushed May 29, 2026. Figures are from public GitHub metadata via [Flowise's repository](https://github.com/FlowiseAI/Flowise) and [AdalFlow's repository](https://github.com/SylphAI-Inc/AdalFlow). | | [Flowise](/tools/flowiseai-flowise.md) | [AdalFlow](/tools/sylphai-inc-adalflow.md) | | --- | --- | --- | | Tagline | Build AI Agents, Visually | The library to build & auto-optimize LLM applications. | | Stars | 55,465 | 4,213 | | Forks | 25,031 | 387 | | Open issues | 1,040 | 68 | | Language | TypeScript | Python | | Adopt for | Flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface. | AdalFlow is designed to streamline the development and automatic optimization of LLM applications. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Flowise](/tools/flowiseai-flowise.md) | [AdalFlow](/tools/sylphai-inc-adalflow.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 35d | 101d | | Archived on GitHub | Yes | No | | Open issues (now) | 1.0k | 68 | | Stars delta | +219 (30d) | +17 (30d) | | Open issues delta | -5 (30d) | 0 (30d) | | Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/sylphai-inc-adalflow/trust.md) | ## Decision facts: Flowise - **Adopt for:** Flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface. ## Decision facts: AdalFlow - **Adopt for:** AdalFlow is designed to streamline the development and automatic optimization of LLM applications. ## Choose when ### Choose Flowise if… - Flowise is primarily TypeScript; AdalFlow is Python. - License: Flowise is Other, AdalFlow is MIT. - Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence. - Also covers Developer Tools. - Flowise ships Docker support for self-hosted deployment. - When you need a tool that supports both low-code and no-code development for AI agents. ### Choose AdalFlow if… - AdalFlow is primarily Python; Flowise is TypeScript. - License: AdalFlow is MIT, Flowise is Other. - Tags unique to AdalFlow: agent, ai, auto-prompting, bm25. - Also covers Data & Retrieval, LLM Frameworks, Model Training. - When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively. ## When NOT to use Flowise - If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation. - When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods. - If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements. ## When NOT to use AdalFlow - Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity. - AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes. ## Common questions ### What is the difference between Flowise and AdalFlow? Flowise: Build AI Agents, Visually. AdalFlow: The library to build & auto-optimize LLM applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Flowise over AdalFlow? Choose Flowise over AdalFlow when Flowise is primarily TypeScript; AdalFlow is Python; License: Flowise is Other, AdalFlow is MIT; Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; When you need a tool that supports both low-code and no-code development for AI agents. ### When should I choose AdalFlow over Flowise? Choose AdalFlow over Flowise when AdalFlow is primarily Python; Flowise is TypeScript; License: AdalFlow is MIT, Flowise is Other; Tags unique to AdalFlow: agent, ai, auto-prompting, bm25; Also covers Data & Retrieval, LLM Frameworks, Model Training; When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively. ### When should I avoid Flowise? If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation. When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods. If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements. ### When should I avoid AdalFlow? Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity. AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes. ### Is Flowise or AdalFlow more popular on GitHub? Flowise has more GitHub stars (55,465 vs 4,213). Stars measure visibility, not whether either tool fits your constraints. ### Are Flowise and AdalFlow open source? Yes - both are open-source projects on GitHub (Flowise: Other, AdalFlow: MIT). ### Where can I find alternatives to Flowise or AdalFlow? GraphCanon lists graph-backed alternatives at [Flowise alternatives](/tools/flowiseai-flowise/alternatives) and [AdalFlow alternatives](/tools/sylphai-inc-adalflow/alternatives) ([Flowise markdown twin](/tools/flowiseai-flowise/alternatives.md), [AdalFlow markdown twin](/tools/sylphai-inc-adalflow/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/flowiseai-flowise-vs-sylphai-inc-adalflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Flowise or AdalFlow? Flowise: Archived. AdalFlow: 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 Flowise and AdalFlow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Flowise trust report](/tools/flowiseai-flowise/trust); [AdalFlow trust report](/tools/sylphai-inc-adalflow/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/_