--- title: "DeepSeek-R1 vs Magick" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-r1-vs-oneirocom-magick" tools: ["deepseek-ai-deepseek-r1", "oneirocom-magick"] --- # DeepSeek-R1 vs Magick *GraphCanon updated Aug 22, 2026* ## Verdict Pick DeepSeek-R1 if deepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use; 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. [DeepSeek-R1](https://github.com/deepseek-ai/DeepSeek-R1) reports 92k GitHub stars, 12k forks, and 38 open issues, last pushed Jun 27, 2025. [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 [DeepSeek-R1's repository](https://github.com/deepseek-ai/DeepSeek-R1) and [Magick's repository](https://github.com/Oneirocom/Magick). | | [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) | [Magick](/tools/oneirocom-magick.md) | | --- | --- | --- | | Tagline | Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. | Cutting-edge toolkit for AI builders | | Stars | 91,982 | 847 | | Forks | 11,706 | 140 | | Open issues | 38 | 32 | | Language | - | TypeScript | | Adopt for | DeepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use. | 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 | LLM Frameworks, Model Training | AI Agents, Evaluation & Observability, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) | [Magick](/tools/oneirocom-magick.md) | | --- | --- | --- | | Days since push | 405d | 423d | | Open issues (now) | 38 | 32 | | Stars delta | Unknown | +5 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/deepseek-ai-deepseek-r1/trust.md) | [trust report](/tools/oneirocom-magick/trust.md) | ## Decision facts: DeepSeek-R1 - **Pricing:** freemium - The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository. - **Requirements:** Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs. - **Adopt for:** DeepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use. ## 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 DeepSeek-R1 if… - License: DeepSeek-R1 is MIT, Magick is Other. - Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository.. - Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs.. - Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license. - When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics. ### Choose Magick if… - License: Magick is Other, DeepSeek-R1 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 AI Agents, Evaluation & Observability. - - 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 DeepSeek-R1 - Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments. - If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series. ## 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 DeepSeek-R1 and Magick? DeepSeek-R1: Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.. Magick: Cutting-edge toolkit for AI builders. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepSeek-R1 over Magick? Choose DeepSeek-R1 over Magick when License: DeepSeek-R1 is MIT, Magick is Other; Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository.; Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs.; Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license; When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics. ### When should I choose Magick over DeepSeek-R1? Choose Magick over DeepSeek-R1 when License: Magick is Other, DeepSeek-R1 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 AI Agents, Evaluation & Observability; - 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 DeepSeek-R1? Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments. If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series. ### 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 DeepSeek-R1 or Magick more popular on GitHub? DeepSeek-R1 has more GitHub stars (91,982 vs 847). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepSeek-R1 and Magick open source? Yes - both are open-source projects on GitHub (DeepSeek-R1: MIT, Magick: Other). ### Where can I find alternatives to DeepSeek-R1 or Magick? GraphCanon lists graph-backed alternatives at [DeepSeek-R1 alternatives](/tools/deepseek-ai-deepseek-r1/alternatives) and [Magick alternatives](/tools/oneirocom-magick/alternatives) ([DeepSeek-R1 markdown twin](/tools/deepseek-ai-deepseek-r1/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/deepseek-ai-deepseek-r1-vs-oneirocom-magick.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepSeek-R1 or Magick? DeepSeek-R1: Dormant. 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 DeepSeek-R1 and Magick? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-R1 trust report](/tools/deepseek-ai-deepseek-r1/trust); [Magick trust report](/tools/oneirocom-magick/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-r1`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-r1) - 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/_