Learn how Envoy AI Gateway 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
2 days agoRepository age
2 yearsVersion
v1.2.1License
Apache-2.0Repository
ai-gateway
Last 30 days
Last commit
13 hours agoRepository age
2 yearsVersion
v1.24.0License
MITSelf-hosted
YesRepository
theopenco/llmgateway
Both Envoy AI Gateway and LLM Gateway have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Envoy AI Gateway having 2,367 stars and LLM Gateway having 1,731 stars on GitHub. In terms of developer contributions, Envoy AI Gateway has 457 forks, indicating moderate developer engagement.
Envoy AI Gateway is growing faster, adding 162 stars in the last 30 days (+7.3%) against adding 53 stars for LLM Gateway (+3.2%). Envoy AI Gateway is both larger and pulling further ahead.
Both projects show recent activity, with Envoy AI Gateway last updated 2 days ago and LLM Gateway 13 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Envoy AI Gateway uses Python, Golang while LLM Gateway leverages Next.js.
Both projects started around the same time, with Envoy AI Gateway beginning 2 years ago and LLM Gateway 2 years ago.
LLM Gateway uses the MIT license, which is more permissive than Envoy AI Gateway's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Gateways.
LLM Gateway provides self-hosting options for complete data control and customization, while Envoy AI Gateway may be primarily cloud-based or require different deployment approaches.