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.
Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

LiteLLM appears to have several advantages over LLM Gateway, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
LiteLLM significantly outpaces LLM Gateway in community adoption with 61,627 stars compared to 1,694 stars on GitHub. This 36.4x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 12,497 forks, indicating strong developer engagement.
LiteLLM is growing faster, adding 2,389 stars in the last 30 days (+4%) against adding 44 stars for LLM Gateway (+2.7%). LiteLLM is both larger and pulling further ahead.
Both projects show recent activity, with LiteLLM last updated 2 hours ago and LLM Gateway 15 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 2 years 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.
Both LiteLLM and LLM Gateway offer self-hosting capabilities, giving you full control over your data and infrastructure.