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
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Repository age
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

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 2,154 stars and LLM Gateway having 1,665 stars on GitHub. In terms of developer contributions, Envoy AI Gateway has 395 forks, indicating moderate developer engagement.
Envoy AI Gateway is growing faster, adding 177 stars in the last 30 days (+9%) against adding 77 stars for LLM Gateway (+4.8%). Envoy AI Gateway is both larger and pulling further ahead.
Both projects show recent activity, with Envoy AI Gateway last updated 21 hours ago and LLM Gateway 4 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 1 year 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.