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Itzam vs LiteLLM

Learn how Itzam 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 Itzam

Itzam

Simple AI integration platform that manages prompts, models, and billing across 30+ AI providers. Switch models instantly with hot-swap functionality.
  • Stars


    60
  • Forks


    10
  • Last commit


    15 days ago
  • Repository age


    11 months
View Repository

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Screenshot of Itzam
Favicon of LiteLLM

LiteLLM

Manage authentication, load balancing, and cost tracking across 100+ LLMs through a single OpenAI-compatible gateway. Trusted by Netflix and enterprise teams.
  • Stars


    44,076
  • Forks


    7,406
  • Last commit


    5 hours ago
  • Repository age


    3 years
View Repository

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Screenshot of LiteLLM

Detailed Comparison

LiteLLM appears to have several advantages over Itzam, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity and features when making your decision.

LiteLLM wins
Community & Popularity

LiteLLM significantly outpaces Itzam in community adoption with 44,076 stars compared to 60 stars on GitHub. This 734.6x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 7,406 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Itzam last updated 15 days ago and LiteLLM 5 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Next.js.

LiteLLM wins
Project Maturity

LiteLLM has been in development longer, starting 3 years ago, compared to Itzam which began 11 months ago. This 1.8-year head start suggests LiteLLM may have more mature features and established processes.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Gateways, AI Integration Platforms. However, they also have distinct specializations: LiteLLM extends into AI API Key Protection.