Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
$ npx skills add comet-ml/opikThe easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
$ npx skills add bentoml/BentoMLOpen-source observability for your GenAI or LLM application, based on OpenTelemetry
$ npx skills add traceloop/openllmetry🐢 Open-Source Evaluation & Testing library for LLM Agents
$ npx skills add Giskard-AI/giskard-ossThe LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
$ npx skills add PacktPublishing/LLM-Engineers-Handbook🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
$ npx skills add langfuse/langfuseThe open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
$ npx skills add mlflow/mlflow⚙️🦀 Build modular and scalable LLM Applications in Rust
$ npx skills add 0xPlaygrounds/rig🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
$ npx skills add Helicone/heliconePython SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
$ npx skills add raga-ai-hub/RagaAI-CatalystThe platform for LLM evaluations and AI agent testing
$ npx skills add langwatch/langwatchBuild, Manage and Deploy AI/ML Systems
$ npx skills add Netflix/metaflowAI Observability & Evaluation
$ npx skills add Arize-ai/phoenixCommunity maintained hardware plugin for vLLM on Ascend
$ npx skills add vllm-project/vllm-ascendShip AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
$ npx skills add GoogleCloudPlatform/agent-starter-packZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
$ npx skills add zenml-io/zenmlHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep OpenLLM if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.