Learn how Bifrost 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
Version
License
Repository

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

Both Bifrost 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.
Bifrost significantly outpaces LLM Gateway in community adoption with 7,431 stars compared to 1,556 stars on GitHub. This 4.8x difference suggests Bifrost has a much larger and more active community. In terms of developer contributions, Bifrost has 1,068 forks, indicating strong developer engagement.
Bifrost is growing faster, adding 800 stars in the last 30 days (+12%) against adding 128 stars for LLM Gateway (+9%). Bifrost is both larger and pulling further ahead.
Both projects show recent activity, with Bifrost last updated 7 hours ago and LLM Gateway 7 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Bifrost uses Python, Golang, Rust while LLM Gateway leverages Next.js.
Both projects started around the same time, with Bifrost beginning 1 year ago and LLM Gateway 1 year ago.
LLM Gateway uses the MIT license, which is more permissive than Bifrost'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 Bifrost may be primarily cloud-based or require different deployment approaches.