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Bifrost vs LiteLLM

Learn how Bifrost and LiteLLM 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.

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Favicon of Bifrost

Bifrost

AI
Open-source AI gateway delivering 50x faster performance than alternatives. Access 1000+ models from 8+ providers with built-in governance, fallback, and observability.
7,431stars+800(+12%)

Last 30 days

Screenshot of Bifrost
Favicon of LiteLLM

LiteLLM

AI
Acts as a unified proxy across 100+ LLMs, normalizing them to the OpenAI format while handling virtual keys, budgets, rate limits, fallbacks, and cost tracking.
56,760stars+2,635(+4.9%)

Last 30 days

  • Last commit


    7 hours ago
  • Repository age


    3 years
  • Version


    v1.97.0
  • Self-hosted


    Yes
  • Repository


    berriai/litellm
Sponsor LiteLLM onbuy.stripe.com
Screenshot of LiteLLM

Detailed Comparison

Both Bifrost and LiteLLM 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.

LiteLLM wins
Community & Popularity

LiteLLM significantly outpaces Bifrost in community adoption with 56,760 stars compared to 7,431 stars on GitHub. This 7.6x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 10,723 forks, indicating strong developer engagement.

Bifrost wins
Growth Momentum

Bifrost is growing faster, adding 800 stars in the last 30 days (+12%) against adding 2,635 stars for LiteLLM (+4.9%). Bifrost is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with Bifrost last updated 7 hours ago and LiteLLM 7 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Bifrost uses Golang, Rust while LiteLLM leverages Next.js.

LiteLLM wins
Project Maturity

LiteLLM has been in development longer, starting 3 years ago, compared to Bifrost which began 1 year ago. This 1.7-year head start suggests LiteLLM may have more mature features and established processes.

Bifrost wins
Licensing

Bifrost is licensed under Apache-2.0, while LiteLLM's license terms are not publicly specified.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Gateways.

LiteLLM wins
Hosting & Deployment

LiteLLM provides self-hosting options for complete data control and customization, while Bifrost may be primarily cloud-based or require different deployment approaches.