--- title: "gateway vs llmfit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adaline-gateway-vs-alexsjones-llmfit" tools: ["adaline-gateway", "alexsjones-llmfit"] --- # gateway vs llmfit Neutral, constraint-first comparison with live GitHub stats. | | [gateway](/tools/adaline-gateway.md) | [llmfit](/tools/alexsjones-llmfit.md) | | --- | --- | --- | | Tagline | Super SDK for calling over 300+ LLMs locally | Right-size LLM models for your hardware with quality, speed, fit, and context scoring. | | Stars | 600 | 29,206 | | Forks | 27 | 1,787 | | Open issues | 0 | 55 | | Language | TypeScript | Rust | | Adopt for | Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. | Right-size language models to hardware with quality, speed & fit scores through TUI/CLI. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License - permissive open-source license that allows users to modify, distribute and use the software in any context. | | Categories | Inference & Serving, LLM Frameworks | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/adaline-gateway.md) | [llmfit](/tools/alexsjones-llmfit.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 28d | 0d | | Open issues (now) | 0 | 55 | | Owner type | Organization | User | | Full report | [trust report](/tools/adaline-gateway/trust.md) | [trust report](/tools/alexsjones-llmfit/trust.md) | **Typed relationship:** gateway _(alternative)_ llmfit adaline-gateway and llmfit both provide access to multiple LLMs, but adaline-gateway seems more focused on direct model calls while llmfit is about finding which models run efficiently. ## Decision facts: gateway - **Pricing:** unknown - The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise- - **Adopt for:** Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. ## Decision facts: llmfit - **Adopt for:** Right-size language models to hardware with quality, speed & fit scores through TUI/CLI. - **License detail:** MIT License - permissive open-source license that allows users to modify, distribute and use the software in any context. ## Choose when ### Choose gateway if… - gateway is primarily TypeScript; llmfit is Rust. - Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-. - adaline-gateway and llmfit both provide access to multiple LLMs, but adaline-gateway seems more focused on direct model calls while llmfit is about finding which models run efficiently. - Tags unique to gateway: llmops, openai, typescript, anthropic. - - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### Choose llmfit if… - llmfit is primarily Rust; gateway is TypeScript. - adaline-gateway and llmfit both provide access to multiple LLMs, but adaline-gateway seems more focused on direct model calls while llmfit is about finding which models run efficiently. - Tags unique to llmfit: skill, mlx, localai, gguf. - llmfit ships Docker support for self-hosted deployment. - - When you need a tool that evaluates hundreds of models and providers for compatibility with your specific system configurations using interactive text interfaces. ## When NOT to use gateway - - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ## When NOT to use llmfit - - If your workflow only requires a visual dashboard as llmfit primarily offers text-based user interface options (TUI and CLI). - - When you primarily need a serving solution for local models, without the need for detailed hardware compatibility evaluation; tools like `llmserve` are more tailored to just running models. ## Common questions ### What is the difference between gateway and llmfit? gateway: Super SDK for calling over 300+ LLMs locally. llmfit: Right-size LLM models for your hardware with quality, speed, fit, and context scoring.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over llmfit? Choose gateway over llmfit when gateway is primarily TypeScript; llmfit is Rust; Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-; adaline-gateway and llmfit both provide access to multiple LLMs, but adaline-gateway seems more focused on direct model calls while llmfit is about finding which models run efficiently; Tags unique to gateway: llmops, openai, typescript, anthropic; - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### When should I choose llmfit over gateway? Choose llmfit over gateway when llmfit is primarily Rust; gateway is TypeScript; adaline-gateway and llmfit both provide access to multiple LLMs, but adaline-gateway seems more focused on direct model calls while llmfit is about finding which models run efficiently; Tags unique to llmfit: skill, mlx, localai, gguf; llmfit ships Docker support for self-hosted deployment; - When you need a tool that evaluates hundreds of models and providers for compatibility with your specific system configurations using interactive text interfaces. ### When should I avoid gateway? - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ### When should I avoid llmfit? - If your workflow only requires a visual dashboard as llmfit primarily offers text-based user interface options (TUI and CLI). - When you primarily need a serving solution for local models, without the need for detailed hardware compatibility evaluation; tools like `llmserve` are more tailored to just running models. ### Is gateway or llmfit more popular on GitHub? llmfit has more GitHub stars (29,206 vs 600). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and llmfit open source? Yes - both are open-source projects on GitHub (gateway: MIT, llmfit: MIT). ### Where can I find alternatives to gateway or llmfit? GraphCanon lists graph-backed alternatives at /tools/adaline-gateway/alternatives and /tools/alexsjones-llmfit/alternatives (/tools/adaline-gateway/alternatives.md, /tools/alexsjones-llmfit/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/adaline-gateway-vs-alexsjones-llmfit.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or llmfit? gateway: Active. llmfit: 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 gateway and llmfit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gateway: /tools/adaline-gateway/trust; llmfit: /tools/alexsjones-llmfit/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=adaline-gateway`](/api/graphcanon/graph?tool=adaline-gateway) - 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/_