Learn how Envoy AI Gateway 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
3 days agoRepository age
2 yearsVersion
v1.2.0License
Apache-2.0Repository
ai-gateway
Last 30 days
Last commit
6 hours agoRepository age
7 monthsVersion
v0.32.0License
Apache-2.0Self-hosted
YesRepository
mozilla-ai/otari
Both Envoy AI Gateway 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.
Envoy AI Gateway significantly outpaces Otari in community adoption with 2,290 stars compared to 737 stars on GitHub. This 3.1x difference suggests Envoy AI Gateway has a much larger and more active community. In terms of developer contributions, Envoy AI Gateway has 431 forks, indicating moderate developer engagement.
Otari is growing faster, adding 243 stars in the last 30 days (+49%) against adding 145 stars for Envoy AI Gateway (+6.8%). 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 Envoy AI Gateway last updated 3 days ago and Otari 6 hours ago.
Envoy AI Gateway has been in development longer, starting 2 years ago, compared to Otari which began 7 months ago. This 1.5-year head start suggests Envoy AI Gateway may have more mature features and established processes.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Gateways.
Otari provides self-hosting options for complete data control and customization, while Envoy AI Gateway may be primarily cloud-based or require different deployment approaches.