---
title: "langflow vs Magick"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/langflow-ai-langflow-vs-oneirocom-magick"
tools: ["langflow-ai-langflow", "oneirocom-magick"]
---

# langflow vs Magick

*GraphCanon updated Aug 22, 2026*

## Verdict

Pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems; pick Magick if magick is a TypeScript-based toolkit focused on the development and fine-tuning of AI agents with integrations for large language models and support for no-code visual scripting.

[langflow](http://www.langflow.org) reports 153k GitHub stars, 9.7k forks, and 972 open issues, last pushed Aug 2, 2026. [Magick](https://magickml.com) has 847 stars, 140 forks, and 32 open issues, last pushed Jun 24, 2025. Figures are from public GitHub metadata via [langflow's repository](https://github.com/langflow-ai/langflow) and [Magick's repository](https://github.com/Oneirocom/Magick).

| | [langflow](/tools/langflow-ai-langflow.md) | [Magick](/tools/oneirocom-magick.md) |
| --- | --- | --- |
| Tagline | Tool for building and deploying AI-powered agents and workflows | Cutting-edge toolkit for AI builders |
| Stars | 152,744 | 847 |
| Forks | 9,747 | 140 |
| Open issues | 972 | 32 |
| Language | Python | TypeScript |
| Adopt for | Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems. | Magick is a TypeScript-based toolkit focused on the development and fine-tuning of AI agents with integrations for large language models and support for no-code visual scripting. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Magick operates under a license that differs from typical open-source licenses. Users need to verify compatibility with their projects' licensing needs. |
| Categories | AI Agents, Model Training | AI Agents, Evaluation & Observability, LLM Frameworks, Model Training |

## Trust and health

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

| | [langflow](/tools/langflow-ai-langflow.md) | [Magick](/tools/oneirocom-magick.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 423d |
| Open issues (now) | 972 | 32 |
| Stars delta | Unknown | +5 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Full report | [trust report](/tools/langflow-ai-langflow/trust.md) | [trust report](/tools/oneirocom-magick/trust.md) |

## Decision facts: langflow

- **Pricing:** freemium - Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.
- **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.
- **Adopt for:** Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.

## Decision facts: Magick

- **Pricing:** unknown - No explicit pricing details provided in the repository data, indicating a trial or enterprise model potentially requiring direct inquiries for specific terms.
- **Adopt for:** Magick is a TypeScript-based toolkit focused on the development and fine-tuning of AI agents with integrations for large language models and support for no-code visual scripting.
- **License detail:** Magick operates under a license that differs from typical open-source licenses. Users need to verify compatibility with their projects' licensing needs.

## Choose when

### Choose langflow if…

- langflow is primarily Python; Magick is TypeScript.
- License: langflow is MIT, Magick is Other.
- Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
- Tags unique to langflow: agents, chatgpt, generative-ai, large language models.
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.

### Choose Magick if…

- Magick is primarily TypeScript; langflow is Python.
- License: Magick is Other, langflow is MIT.
- Pricing: No explicit pricing details provided in the repository data, indicating a trial or enterprise model potentially requiring direct inquiries for specific terms..
- Tags unique to Magick: agent, agi, ai, blueprints-visual-scripting.
- Also covers Evaluation & Observability, LLM Frameworks.
- - You are building AI agents or virtual assistants using large language models like Gemini, GPT-3, or GPT-4 that require visual scripting capabilities.

## When NOT to use langflow

- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.

## When NOT to use Magick

- - You are working on projects in a language other than TypeScript or prefer languages known for rapid prototyping without type safety.
- - Your team strictly adheres to code-only workflows without interest in visual scripting capabilities provided by tools like node editors and blueprint systems.
- - The project requires strict adherence to an open-source license; Magick's licensing is not standard OSS, which can affect integration requirements.

## Common questions

### What is the difference between langflow and Magick?

langflow: Tool for building and deploying AI-powered agents and workflows. Magick: Cutting-edge toolkit for AI builders. See the comparison table for live GitHub stats and shared categories.

### When should I choose langflow over Magick?

Choose langflow over Magick when langflow is primarily Python; Magick is TypeScript; License: langflow is MIT, Magick is Other; Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; Tags unique to langflow: agents, chatgpt, generative-ai, large language models; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.

### When should I choose Magick over langflow?

Choose Magick over langflow when Magick is primarily TypeScript; langflow is Python; License: Magick is Other, langflow is MIT; Pricing: No explicit pricing details provided in the repository data, indicating a trial or enterprise model potentially requiring direct inquiries for specific terms.; Tags unique to Magick: agent, agi, ai, blueprints-visual-scripting; Also covers Evaluation & Observability, LLM Frameworks; - You are building AI agents or virtual assistants using large language models like Gemini, GPT-3, or GPT-4 that require visual scripting capabilities.

### When should I avoid langflow?

Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.

### When should I avoid Magick?

- You are working on projects in a language other than TypeScript or prefer languages known for rapid prototyping without type safety. - Your team strictly adheres to code-only workflows without interest in visual scripting capabilities provided by tools like node editors and blueprint systems. - The project requires strict adherence to an open-source license; Magick's licensing is not standard OSS, which can affect integration requirements.

### Is langflow or Magick more popular on GitHub?

langflow has more GitHub stars (152,744 vs 847). Stars measure visibility, not whether either tool fits your constraints.

### Are langflow and Magick open source?

Yes - both are open-source projects on GitHub (langflow: MIT, Magick: Other).

### Where can I find alternatives to langflow or Magick?

GraphCanon lists graph-backed alternatives at [langflow alternatives](/tools/langflow-ai-langflow/alternatives) and [Magick alternatives](/tools/oneirocom-magick/alternatives) ([langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md), [Magick markdown twin](/tools/oneirocom-magick/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-oneirocom-magick.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, langflow or Magick?

langflow: Very active. Magick: 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 langflow and Magick?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langflow trust report](/tools/langflow-ai-langflow/trust); [Magick trust report](/tools/oneirocom-magick/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/_
