head to head · open source
ComfyUI vs LLamaSharp
ComfyUI has 144,907 GitHub stars, 17,244 forks, 4,894 open issues and last shipped yesterday. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped yesterday. ComfyUI leads on adoption by 3,688% (144,907 vs 3,825 stars). ComfyUI is written in Python under GPL-3.0; LLamaSharp is written in C# under MIT. ComfyUI has attracted 12% as many forks as stars, LLamaSharp 14%. ComfyUI was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| ComfyUI | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 145K | ★ 3.8K |
| License | GPL-3.0 | MIT |
| Written in | Python | C# |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 17K | ⑂ 517 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ComfyUI if
- You weight community size — 145K stars and counting
- You want the GPL-3.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LLamaSharp if
- You want the LLamaSharp feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches C#
- You evaluated both and LLamaSharp fits your workflow better
About ComfyUI
ComfyUI The most powerful and modular AI engine for content creation. [![Website][website shield]][website url] [![Dynamic JSON Badge][discord shield]][discord url] [![Twitter][twitter shield]][twitter url] [![Matrix][matrix shield]][matrix url] [![][github release shield]][github release link] [![][github release date shield]][github release link] [![][github downloads shield]][github downloads link] [![][github downloads latest shield]][github downloads link] [matrix shield]: [matrix url]: [website shield]: [website url]: [discord shield]: [discord url]: [twitter shield]: [twitter url]: [github release…
read the full ComfyUI overview →
About LLamaSharp
LLamaSharp is a cross platform library to run 🦙LLaMA model (and others) on your local device. Based on llama.cpp, inference with LLamaSharp is efficient on both CPU and GPU. With the higher level APIs and RAG support, it's convenient to deploy LLMs (Large Language Models) in your application with LLamaSharp. Please star the repo to show your support for this project!🤗 Table of Contents Documentation Console Demo Integrations & Examples Get started FAQ Contributing Join the community Star history Contributor wall of fame Map of LLamaSharp and llama.cpp versions 📖Documentation Quick start Ask AI via deep wiki…
read the full LLamaSharp overview →
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Frequently asked questions
Is ComfyUI or LLamaSharp more popular?
ComfyUI has 144,907 GitHub stars and LLamaSharp has 3,825. ComfyUI has the larger community by that measure.
Are ComfyUI and LLamaSharp free?
Both are open source. ComfyUI is licensed under GPL-3.0 and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between ComfyUI and LLamaSharp?
ComfyUI is written in Python and LLamaSharp in C#. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ComfyUI or LLamaSharp?
Choose ComfyUI if you want the larger community (144,907 stars) or its GPL-3.0 licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.