Learn how LiteLLM and LLM Gateway differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai gateways is best for you.

Both LiteLLM and LLM Gateway have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
LiteLLM significantly outpaces LLM Gateway in community adoption with 55,192 stars compared to 1,489 stars on GitHub. This 37.1x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 10,221 forks, indicating strong developer engagement.
Both projects show recent activity, with LiteLLM last updated 2 hours ago and LLM Gateway 2 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: LiteLLM uses Python.
LiteLLM has been in development longer, starting 3 years ago, compared to LLM Gateway which began 1 year ago. This 1.7-year head start suggests LiteLLM may have more mature features and established processes.
LLM Gateway is licensed under MIT, while LiteLLM's license terms are not publicly specified.
Both tools serve similar use cases in AI Gateways.
LLM Gateway provides self-hosting options for complete data control and customization, while LiteLLM may be primarily cloud-based or require different deployment approaches.

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