Learn how LiteLLM and Otari 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
4 hours agoRepository age
3 yearsVersion
v1.109.1Self-hosted
YesRepository
berriai/litellm
Last 30 days
Last commit
4 hours agoRepository age
8 monthsVersion
v0.47.0License
Apache-2.0Self-hosted
YesRepository
mozilla-ai/otari
Both LiteLLM and Otari have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
LiteLLM significantly outpaces Otari in community adoption with 63,304 stars compared to 930 stars on GitHub. This 68.1x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 13,301 forks, indicating strong developer engagement.
Otari is growing faster, adding 382 stars in the last 30 days (+70%) against adding 1,911 stars for LiteLLM (+3.1%). Otari is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with LiteLLM last updated 4 hours ago and Otari 4 hours ago.
LiteLLM has been in development longer, starting 3 years ago, compared to Otari which began 8 months ago. This 2.7-year head start suggests LiteLLM may have more mature features and established processes.
Otari is licensed under Apache-2.0, while LiteLLM's license terms are not publicly specified.
Both tools serve similar use cases in AI Gateways.
Both LiteLLM and Otari offer self-hosting capabilities, giving you full control over your data and infrastructure.