Haystack vs LiteLLM

Side-by-side comparison of two AI agent tools

Short answer

  • LiteLLM is growing faster: +2,982 GitHub stars in the last 30 days vs +318 for Haystack.
  • Pick Haystack for: open-source AI orchestration framework for modular RAG pipelines and agent workflows. Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface.

From GitHub data refreshed daily.

Haystackopen-source

Open-source AI orchestration framework for modular RAG pipelines and agent workflows

Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface

Metrics

HaystackLiteLLM
Stars26.6k60.1k
Star velocity /mo317.84210526315793.0k
Commits (90d)76813.2k
Releases (6m)1010
Downloads (30d, npm + PyPI)539.6K—
Overall score0.79018102781931880.9321427193766948

Pros

  • +Production-ready architecture with robust testing and type safety (Mypy, comprehensive test coverage)
  • +Modular pipeline design allows for flexible composition and customization of AI workflows
  • +Strong community adoption with 24,000+ GitHub stars and active development by deepset
  • +统一API接口设计，一套代码兼容100多个不同的LLM提供商，大幅简化多模型切换和对比测试
  • +内置企业级功能如成本追踪、负载均衡、安全防护栏，为生产环境提供完整的AI治理解决方案
  • +既提供Python SDK又提供独立的代理服务器部署模式，适合不同规模和架构的项目需求

Cons

  • -Learning curve may be steep for developers new to AI orchestration frameworks
  • -Complexity might be overkill for simple LLM integration use cases
  • -作为中间层抽象，可能无法完全利用某些模型提供商的独特功能和高级参数配置
  • -依赖网络连接和第三方API稳定性，增加了系统的复杂度和潜在故障点
  • -对于简单的单模型应用场景可能存在过度设计，增加不必要的依赖和学习成本

Use Cases

  • •Building production RAG systems with sophisticated document retrieval and context management
  • •Creating AI agent workflows with explicit control over routing and decision-making processes
  • •Developing modular AI pipelines that require custom retrieval and context engineering components
  • •AI应用开发中需要对比测试多个LLM模型性能，快速切换不同提供商而无需重写代码
  • •企业级AI服务需要统一的成本监控、访问控制和负载均衡管理多个模型调用
  • •构建AI代理或聊天机器人时需要根据用户需求和成本考虑动态选择最适合的模型
View Haystack DetailsView LiteLLM Details

FAQ

Which is more popular, Haystack or LiteLLM?
LiteLLM has more GitHub stars (60,079 vs 26,646).
Which is more actively developed, Haystack or LiteLLM?
LiteLLM had more commits in the last 90 days (13,238 vs 768).
Should I use Haystack or LiteLLM?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.