--- title: "gateway vs litgpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adaline-gateway-vs-lightning-ai-litgpt" tools: ["adaline-gateway", "lightning-ai-litgpt"] --- # gateway vs litgpt Neutral, constraint-first comparison with live GitHub stats. | | [gateway](/tools/adaline-gateway.md) | [litgpt](/tools/lightning-ai-litgpt.md) | | --- | --- | --- | | Tagline | Super SDK for calling over 300+ LLMs locally | 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale. | | Stars | 600 | 13,467 | | Forks | 27 | 1,466 | | Open issues | 0 | 266 | | Language | TypeScript | Python | | 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. | LitGPT is a repository that provides over 20 implementations of high-performance large language models (LLMs) with detailed instructions on how to preprocess, fine-tune, and deploy them at scale. It focuses on minimal, ' | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | LLM Frameworks, Model Training, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/adaline-gateway.md) | [litgpt](/tools/lightning-ai-litgpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 28d | 2d | | Open issues (now) | 0 | 266 | | Full report | [trust report](/tools/adaline-gateway/trust.md) | [trust report](/tools/lightning-ai-litgpt/trust.md) | **Typed relationship:** gateway _(alternative)_ litgpt Both LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets. ## 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: litgpt - **Adopt for:** LitGPT is a repository that provides over 20 implementations of high-performance large language models (LLMs) with detailed instructions on how to preprocess, fine-tune, and deploy them at scale. It focuses on minimal, ' ## Choose when ### Choose gateway if… - gateway is primarily TypeScript; litgpt is Python. - License: gateway is MIT, litgpt is Apache-2.0. - 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-. - Both LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets. - Tags unique to gateway: llmops, llm, openai, typescript. - - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### Choose litgpt if… - litgpt is primarily Python; gateway is TypeScript. - License: litgpt is Apache-2.0, gateway is MIT. - Both LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets. - Tags unique to litgpt: deep-learning, ai, large-language-models, llm-inference. - Also covers Model Training. - When needing extensive customization options for large language model training. ## 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 litgpt - Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism). - Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0. - If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach. ## Common questions ### What is the difference between gateway and litgpt? gateway: Super SDK for calling over 300+ LLMs locally. litgpt: 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over litgpt? Choose gateway over litgpt when gateway is primarily TypeScript; litgpt is Python; License: gateway is MIT, litgpt is Apache-2.0; 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-; Both LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets; Tags unique to gateway: llmops, llm, openai, typescript; - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### When should I choose litgpt over gateway? Choose litgpt over gateway when litgpt is primarily Python; gateway is TypeScript; License: litgpt is Apache-2.0, gateway is MIT; Both LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets; Tags unique to litgpt: deep-learning, ai, large-language-models, llm-inference; Also covers Model Training; When needing extensive customization options for large language model training. ### 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 litgpt? Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism). Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0. If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach. ### Is gateway or litgpt more popular on GitHub? litgpt has more GitHub stars (13,467 vs 600). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and litgpt open source? Yes - both are open-source projects on GitHub (gateway: MIT, litgpt: Apache-2.0). ### Where can I find alternatives to gateway or litgpt? GraphCanon lists graph-backed alternatives at /tools/adaline-gateway/alternatives and /tools/lightning-ai-litgpt/alternatives (/tools/adaline-gateway/alternatives.md, /tools/lightning-ai-litgpt/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-lightning-ai-litgpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or litgpt? gateway: Active. litgpt: 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 litgpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gateway: /tools/adaline-gateway/trust; litgpt: /tools/lightning-ai-litgpt/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/_