Learn how Otari and Portkey AI 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
6 hours agoRepository age
7 monthsVersion
v0.32.0License
Apache-2.0Self-hosted
YesRepository
mozilla-ai/otari
Last 30 days
Last commit
5 months agoRepository age
3 yearsVersion
v1.15.2License
MITRepository
portkey-ai/gateway
Both Otari and Portkey AI Gateway 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.
Portkey AI Gateway significantly outpaces Otari in community adoption with 13,274 stars compared to 737 stars on GitHub. This 18.0x difference suggests Portkey AI Gateway has a much larger and more active community. In terms of developer contributions, Portkey AI Gateway has 1,358 forks, indicating strong developer engagement.
Otari is growing faster, adding 243 stars in the last 30 days (+49%) against adding 188 stars for Portkey AI Gateway (+1.4%). Otari is the smaller project of the two, so it is closing the gap rather than extending a lead.
Otari shows more recent development activity with its last commit 6 hours ago, while Portkey AI Gateway was last updated 5 months ago. This suggests Otari is being more actively maintained.
Portkey AI Gateway has been in development longer, starting 3 years ago, compared to Otari which began 7 months ago. This 2.6-year head start suggests Portkey AI Gateway may have more mature features and established processes.
Portkey AI Gateway uses the MIT license, which is more permissive than Otari's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Gateways.
Otari provides self-hosting options for complete data control and customization, while Portkey AI Gateway may be primarily cloud-based or require different deployment approaches.