Which is more popular, LiteLLM or Opik?

LiteLLM has more GitHub stars (60,036 vs 22,334).

Which is more actively developed, LiteLLM or Opik?

LiteLLM had more commits in the last 90 days (13,191 vs 1,044).

Should I use LiteLLM or Opik?

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

LiteLLM vs Opik

Side-by-side comparison of two AI agent tools

Short answer

LiteLLM is growing faster: +2,991 GitHub stars in the last 30 days vs +607 for Opik.
Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface. Pick Opik for: debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive.

From GitHub data refreshed daily.

LiteLLMfree

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

Opikopen-source

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Metrics

	LiteLLM	Opik
Stars	60.0k	22.3k
Star velocity /mo	3.0k	606.8253968253969
Commits (90d)	13.2k	1.0k
Releases (6m)	10	10
Overall score	0.9372179102436228	0.8528137883272678

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

+提供端到端的 AI 应用可观测性，包括详细的链路追踪和性能监控，帮助开发者快速定位问题
+支持自动化评估和优化，能够自动改进提示词和工具配置，降低手动调优的工作量
+完全开源且拥有活跃社区支持，提供灵活的部署选项和定制化能力

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

-作为相对较新的工具，可能在某些企业级功能和集成方面还需要进一步完善
-学习曲线可能较陡，需要开发者具备一定的 AI 应用开发和监控经验

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

•RAG 聊天机器人的性能监控和优化，追踪检索质量和回答准确性
•代码助手应用的链路分析，监控代码生成质量和响应时间
•复杂智能体工作流的调试和评估，跟踪多步骤推理过程的执行效果

View LiteLLM Details View Opik Details

FAQ

Which is more popular, LiteLLM or Opik?: LiteLLM has more GitHub stars (60,036 vs 22,334).
Which is more actively developed, LiteLLM or Opik?: LiteLLM had more commits in the last 90 days (13,191 vs 1,044).
Should I use LiteLLM or Opik?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.