LiteLLM vs Windmill

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 +316 for Windmill.
  • Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface. Pick Windmill for: open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs.

From GitHub data refreshed daily.

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

Windmillopen-source

Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

Metrics

LiteLLMWindmill
Stars60.1k18.1k
Star velocity /mo3.0k316.10526315789474
Commits (90d)13.2k1.3k
Releases (6m)1010
Overall score0.93214271937669480.8093821444423039

Pros

  • +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
  • +Multi-language support with automatic UI generation from scripts in Python, TypeScript, Go, Bash, SQL, and more
  • +High performance workflow engine claiming 13x faster execution than Airflow
  • +Self-hostable open-source solution with AGPLv3 license providing full control and customization

Cons

  • -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
  • -AGPLv3 license may restrict some commercial use cases and require careful compliance consideration
  • -Being a comprehensive platform may introduce complexity for simple automation tasks
  • -Self-hosting requires infrastructure management and maintenance overhead

Use Cases

  • •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
  • •Building internal APIs and webhooks from existing scripts without additional infrastructure
  • •Creating automated workflows for background jobs and data processing pipelines
  • •Developing low-code internal applications with custom UIs for non-technical team members
View LiteLLM DetailsView Windmill Details

FAQ

Which is more popular, LiteLLM or Windmill?
LiteLLM has more GitHub stars (60,079 vs 18,092).
Which is more actively developed, LiteLLM or Windmill?
LiteLLM had more commits in the last 90 days (13,238 vs 1,264).
Should I use LiteLLM or Windmill?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.