---
title: "Flowise vs adk-python"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-google-adk-python"
tools: ["flowiseai-flowise", "google-adk-python"]
---

# Flowise vs adk-python

Neutral, constraint-first comparison with live GitHub stats.

| | [Flowise](/tools/flowiseai-flowise.md) | [adk-python](/tools/google-adk-python.md) |
| --- | --- | --- |
| Tagline | Build AI Agents, Visually | An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. |
| Stars | 54,430 | 20,517 |
| Forks | 24,676 | 3,664 |
| Open issues | 981 | 697 |
| 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. | adk-python offers a code-first Python framework with advanced workflow capabilities and task delegation mechanisms, making it suitable for developers looking to create complex AI agent systems. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Apache-2.0 |
| Categories | AI Agents, Developer Tools | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Flowise](/tools/flowiseai-flowise.md) | [adk-python](/tools/google-adk-python.md) |
| --- | --- | --- |
| Days since push | 2d | 0d |
| Open issues (now) | 981 | 697 |
| Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/google-adk-python/trust.md) |

**Typed relationship:** Flowise _(alternative)_ adk-python

Flowise provides a visual way to build AI agents which serves as an alternative approach compared to the code-first method used by ADK in developing sophisticated agents.

## 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

## Decision facts: adk-python

- **Adopt for:** adk-python offers a code-first Python framework with advanced workflow capabilities and task delegation mechanisms, making it suitable for developers looking to create complex AI agent systems.

## Choose when

### Choose Flowise if…

- Flowise is primarily TypeScript; adk-python is Python.
- License: Flowise is Other, adk-python is Apache-2.0.
- Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed.
- Flowise provides a visual way to build AI agents which serves as an alternative approach compared to the code-first method used by ADK in developing sophisticated agents.
- Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow.
- Also covers Developer Tools.
- 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 adk-python if…

- adk-python is primarily Python; Flowise is TypeScript.
- License: adk-python is Apache-2.0, Flowise is Other.
- Flowise provides a visual way to build AI agents which serves as an alternative approach compared to the code-first method used by ADK in developing sophisticated agents.
- Tags unique to adk-python: agent, ai-agents.
- - When you need a toolkit that supports deterministic workflows with features like routing, fan-out/fan-in, loops, retries, state management, dynamic nodes, and human-in-the-loop interfaces.

## 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 adk-python

- - If your application does not require the level of detailed workflow control or task delegation features ADK offers. Simpler projects might suffer from over-engineering.
- - When your project is already invested in another framework that provides similar functionality and switching would introduce unnecessary complexity or migration cost.

## Common questions

### What is the difference between Flowise and adk-python?

Flowise: Build AI Agents, Visually. adk-python: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Flowise over adk-python?

Choose Flowise over adk-python when Flowise is primarily TypeScript; adk-python is Python; License: Flowise is Other, adk-python is Apache-2.0; Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed; Flowise provides a visual way to build AI agents which serves as an alternative approach compared to the code-first method used by ADK in developing sophisticated agents; Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow; Also covers Developer Tools; 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 adk-python over Flowise?

Choose adk-python over Flowise when adk-python is primarily Python; Flowise is TypeScript; License: adk-python is Apache-2.0, Flowise is Other; Flowise provides a visual way to build AI agents which serves as an alternative approach compared to the code-first method used by ADK in developing sophisticated agents; Tags unique to adk-python: agent, ai-agents; - When you need a toolkit that supports deterministic workflows with features like routing, fan-out/fan-in, loops, retries, state management, dynamic nodes, and human-in-the-loop interfaces.

### 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 adk-python?

- If your application does not require the level of detailed workflow control or task delegation features ADK offers. Simpler projects might suffer from over-engineering. - When your project is already invested in another framework that provides similar functionality and switching would introduce unnecessary complexity or migration cost.

### Is Flowise or adk-python more popular on GitHub?

Flowise has more GitHub stars (54,430 vs 20,517). Stars measure visibility, not whether either tool fits your constraints.

### Are Flowise and adk-python open source?

Yes - both are open-source projects on GitHub (Flowise: Other, adk-python: Apache-2.0).

### Where can I find alternatives to Flowise or adk-python?

GraphCanon lists graph-backed alternatives at /tools/flowiseai-flowise/alternatives and /tools/google-adk-python/alternatives (/tools/flowiseai-flowise/alternatives.md, /tools/google-adk-python/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-google-adk-python.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Flowise or adk-python?

Flowise: Very active. adk-python: 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 Flowise and adk-python?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise: /tools/flowiseai-flowise/trust; adk-python: /tools/google-adk-python/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/_
