Learn how LLM 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
7 hours agoRepository age
2 yearsVersion
v1.22.0License
MITSelf-hosted
YesRepository
theopenco/llmgateway
Last 30 days
Last commit
6 hours agoRepository age
7 monthsVersion
v0.32.0License
Apache-2.0Self-hosted
YesRepository
mozilla-ai/otari
Both LLM 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.
LLM Gateway leads in popularity with 1,709 stars vs 737 stars for Otari. The 132% higher star count indicates stronger community adoption. In terms of developer contributions, LLM Gateway has 199 forks, indicating moderate developer engagement.
Otari is growing faster, adding 243 stars in the last 30 days (+49%) against adding 47 stars for LLM Gateway (+2.8%). 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 LLM Gateway last updated 7 hours ago and Otari 6 hours ago.
Both projects started around the same time, with LLM Gateway beginning 2 years ago and Otari 7 months ago.
LLM 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.
Both LLM Gateway and Otari offer self-hosting capabilities, giving you full control over your data and infrastructure.